docs: add docs for maintenance mode

docs: add docs for maintenance mode

A staged version can be found here:
https://github.com/andrwng/kudu/blob/docs_maintenance_mode/docs/administration.adoc#minimizing_cluster_disruption_during_temporary_single_ts_downtime

Change-Id: I36b9eddc1d4d4a4e4cb149058fc6d6f438e47f1f
Reviewed-on: http://gerrit.cloudera.org:8080/14718
Reviewed-by: Alexey Serbin <864f6b82bd94e8dda64141d4274519ee66e0102e@cloudera.com>
Tested-by: Kudu Jenkins

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[[administration]]
= Apache Kudu Administration

:author: Kudu Team
:imagesdir: ./images
:icons: font
:toc: left
:toclevels: 3
:doctype: book
:backend: html5
:sectlinks:
:experimental:

== Starting and Stopping Kudu Processes

NOTE: These instructions are relevant only when Kudu is installed using operating system packages
(e.g. `rpm` or `deb`).

include::installation.adoc[tags=start_stop]

== Kudu Web Interfaces

Kudu tablet servers and masters expose useful operational information on a built-in web interface,

=== Kudu Master Web Interface

Kudu master processes serve their web interface on port 8051. The interface exposes several pages
with information about the cluster state:

- A list of tablet servers, their host names, and the time of their last heartbeat.
- A list of tables, including schema and tablet location information for each.
- SQL code which you can paste into Impala Shell to add an existing table to Impala's list of known data sources.

=== Kudu Tablet Server Web Interface

Each tablet server serves a web interface on port 8050. The interface exposes information
about each tablet hosted on the server, its current state, and debugging information
about maintenance background operations.

=== Common Web Interface Pages

Both Kudu masters and tablet servers expose a common set of information via their web interfaces:

- HTTP access to server logs.
- an `/rpcz` endpoint which lists currently running RPCs via JSON.
- pages giving an overview and detailed information on the memory usage of different
  components of the process.
- information on the current set of configuration flags.
- information on the currently running threads and their resource consumption.
- a JSON endpoint exposing metrics about the server.
- information on the deployed version number of the daemon.

These interfaces are linked from the landing page of each daemon's web UI.

== Kudu Metrics

Kudu daemons expose a large number of metrics. Some metrics are associated with an entire
server process, whereas others are associated with a particular tablet replica.

=== Listing available metrics

The full set of available metrics for a Kudu server can be dumped via a special command
line flag:

[source,bash]
----
$ kudu-tserver --dump_metrics_json
$ kudu-master --dump_metrics_json
----

This will output a large JSON document. Each metric indicates its name, label, description,
units, and type. Because the output is JSON-formatted, this information can easily be
parsed and fed into other tooling which collects metrics from Kudu servers.

=== Collecting metrics via HTTP

Metrics can be collected from a server process via its HTTP interface by visiting
`/metrics`. The output of this page is JSON for easy parsing by monitoring services.
This endpoint accepts several `GET` parameters in its query string:

- `/metrics?metrics=<substring1>,<substring2>,...` - limits the returned metrics to those which contain
at least one of the provided substrings. The substrings also match entity names, so this
may be used to collect metrics for a specific tablet.

- `/metrics?include_schema=1` - includes metrics schema information such as unit, description,
and label in the JSON output. This information is typically elided to save space.

- `/metrics?compact=1` - eliminates unnecessary whitespace from the resulting JSON, which can decrease
bandwidth when fetching this page from a remote host.

- `/metrics?include_raw_histograms=1` - include the raw buckets and values for histogram metrics,
enabling accurate aggregation of percentile metrics over time and across hosts.

- `/metrics?level=info` - limits the returned metrics based on their severity level.
The levels are ordered and lower levels include the levels above them. If no level is specified,
`debug` is used to include all metrics. The valid values are:
   * `debug` - Metrics that are diagnostically helpful but generally not monitored
               during normal operation.
   * `info` - Generally useful metrics that operators always want to have available
              but may not be monitored under normal circumstances.
   * `warn` - Metrics which can often indicate operational oddities, which may need more investigation.

For example:

[source,bash]
----
$ curl -s 'http://example-ts:8050/metrics?include_schema=1&metrics=connections_accepted'
----

[source,json]
----
[
    {
        "type": "server",
        "id": "kudu.tabletserver",
        "attributes": {},
        "metrics": [
            {
                "name": "rpc_connections_accepted",
                "label": "RPC Connections Accepted",
                "type": "counter",
                "unit": "connections",
                "description": "Number of incoming TCP connections made to the RPC server",
                "value": 92
            }
        ]
    }
]
----

[source,bash]
----
$ curl -s 'http://example-ts:8050/metrics?metrics=log_append_latency'
----

[source,json]
----
[
    {
        "type": "tablet",
        "id": "c0ebf9fef1b847e2a83c7bd35c2056b1",
        "attributes": {
            "table_name": "lineitem",
            "partition": "hash buckets: (55), range: [(<start>), (<end>))",
            "table_id": ""
        },
        "metrics": [
            {
                "name": "log_append_latency",
                "total_count": 7498,
                "min": 4,
                "mean": 69.3649,
                "percentile_75": 29,
                "percentile_95": 38,
                "percentile_99": 45,
                "percentile_99_9": 95,
                "percentile_99_99": 167,
                "max": 367244,
                "total_sum": 520098
            }
        ]
    }
]
----

NOTE: All histograms and counters are measured since the server start time, and are not reset upon collection.

=== Diagnostics Logging

Kudu may be configured to dump various diagnostics information to a local log file.
The diagnostics log will be written to the same directory as the other Kudu log files, with a
similar naming format, substituting `diagnostics` instead of a log level like `INFO`.
After any diagnostics log file reaches 64MB uncompressed, the log will be rolled and
the previous file will be gzip-compressed.

Each line in the diagnostics log consists of the following components:

* A human-readable timestamp formatted in the same fashion as the other Kudu log files.
* The type of record. For example, a metrics record consists of the word `metrics`.
* A machine-readable timestamp, in microseconds since the Unix epoch.
* The record itself.

Currently, the only type of diagnostics record is a periodic dump of the server metrics.
Each record is encoded in compact JSON format, and the server attempts to elide any metrics
which have not changed since the previous record. In addition, counters which have never
been incremented are elided. Otherwise, the format of the JSON record is identical to the
format exposed by the HTTP endpoint above.

The frequency with which metrics are dumped to the diagnostics log is configured using the
`--metrics_log_interval_ms` flag. By default, Kudu logs metrics every 60 seconds.

[[rack_awareness]]
== Rack Awareness

As of version 1.9, Kudu supports a rack awareness feature. Kudu's ordinary
re-replication methods ensure the availability of the cluster in the event of a
single node failure. However, clusters can be vulnerable to correlated failures
of multiple nodes. For example, all of the physical hosts on the same rack in
a datacenter may become unavailable simultaneously if the top-of-rack switch
fails. Kudu's rack awareness feature provides protection from some kinds of
correlated failures, like the failure of a single rack in a datacenter.

The first element of Kudu's rack awareness feature is location assignment. When
a tablet server or client registers with a master, the master assigns it a
location. A location is a `/`-separated string that begins with a `/` and where
each `/`-separated component consists of characters from the set
`[a-zA-Z0-9_-.]`. For example, `/dc-0/rack-09` is a valid location, while
`rack-04` and `/rack=1` are not valid locations. Thus location strings resemble
absolute UNIX file paths where characters in directory and file names are
restricted to the set `[a-zA-Z0-9_-.]`. Presently, Kudu does not use the
hierarchical structure of locations, but it may in the future. Location
assignment is done by a user-provided command, whose path should be specified
using the `--location_mapping_cmd` master flag. The command should take a single
argument, the IP address or hostname of a tablet server or client, and return
the location for the tablet server or client. Make sure that all Kudu masters
are using the same location mapping command.

The second element of Kudu's rack awareness feature is the placement policy,
which is

  Do not place a majority of replicas of a tablet on tablet servers in the same location.

The leader master, when placing newly created replicas on tablet servers and
when re-replicating existing tablets, will attempt to place the replicas in a
way that complies with the placement policy. For example, in a cluster with five
tablet servers `A`, `B`, `C`, `D`, and `E`, with respective locations `/L0`,
`/L0`, `/L1`, `/L1`, `/L2`, to comply with the placement policy a new 3x
replicated tablet could have its replicas placed on `A`, `C`, and `E`, but not
on `A`, `B`, and `C`, because then the tablet would have 2/3 replicas in
location `/L0`. As another example, if a tablet has replicas on tablet servers
`A`, `C`, and `E`, and then `C` fails, the replacement replica must be placed on
`D` in order to comply with the placement policy.

In the case where it is impossible to place replicas in a way that complies with
the placement policy, Kudu will violate the policy and place a replica anyway.
For example, using the setup described in the previous paragraph, if a tablet
has replicas on tablet servers `A`, `C`, and `E`, and then `E` fails, Kudu will
re-replicate the tablet onto one of `B` or `D`, violating the placement policy,
rather than leaving the tablet under-replicated indefinitely. The
`kudu cluster rebalance` tool can reestablish the placement policy if it is
possible to do so. The `kudu cluster rebalance` tool can also be used to
establish the placement policy on a cluster if the cluster has just been
configured to use the rack awareness feature and existing replicas need to be
moved to comply with the placement policy. See
<<rebalancer_tool_with_rack_awareness,running the tablet rebalancing tool on a rack-aware cluster>>
for more information.

The third and final element of Kudu's rack awareness feature is the use of
client locations to find "nearby" servers. As mentioned, the masters also
assign a location to clients when they connect to the cluster. The client
(whether Java, {cpp}, or Python) uses its own location and the locations of
tablet servers in the cluster to prefer "nearby" replicas when scanning in
`CLOSEST_REPLICA` mode. Clients choose replicas to scan in the following order:

. Scan a replica on a tablet server on the same host, if there is one.
. Scan a replica on a tablet server in the same location, if there is one.
. Scan some replica.

For example, using the cluster setup described above, if a client on the same
host as tablet server `A` scans a tablet with replicas on tablet servers
`A`, `C`, and `E` in `CLOSEST_REPLICA` mode, it will choose to scan from the
replica on `A`, since the client and the replica on `A` are on the same host.
If the client scans a tablet with replicas on tablet servers `B`, `C`, and `E`,
it will choose to scan from the replica on `B`, since it is in the same
location as the client, `/L0`. If there are multiple replicas meeting a
criterion, one is chosen arbitrarily.

[[backup]]
== Backup and Restore

[[logical_backup]]
=== Logical backup and restore

As of Kudu 1.10.0, Kudu supports both full and incremental table backups via a
job implemented using Apache Spark. Additionally it supports restoring tables
from full and incremental backups via a restore job implemented using Apache Spark.

Given the Kudu backup and restore jobs use Apache Spark, ensure Apache Spark
is installed in your environment following the
link:https://spark.apache.org/docs/latest/#downloading[Spark documentation].
Additionally review the Apache Spark documentation for
link:https://spark.apache.org/docs/latest/submitting-applications.html[Submitting Applications].

==== Backing up tables

To backup one or more Kudu tables the `KuduBackup` Spark job can be used.
The first time the job is run for a table, a full backup will be run.
Additional runs will perform incremental backups which will only contain the
rows that have changed since the initial full backup. A new set of full
backups can be forced at anytime by passing the `--forceFull` flag to the
backup job.

The common flags that will be used when taking a backup are:

* `--rootPath`: The root path to output backup data. Accepts any Spark-compatible path.
** See <<backup_directory>> for the directory structure used in the `rootPath`.
* `--kuduMasterAddresses`: Comma-separated addresses of Kudu masters. Default: localhost
* `<table>...`:  A list of tables to be backed up.

Note: You can see the full list of Job options at anytime by passing the `--help` flag.

Below is a full example of a `KuduBackup` job execution which will backup the tables
`foo` and `bar` to the HDFS directory `kudu-backups`:

[source,bash]
----
spark-submit --class org.apache.kudu.backup.KuduBackup kudu-backup2_2.11-1.10.0.jar \
  --kuduMasterAddresses master1-host,master-2-host,master-3-host \
  --rootPath hdfs:///kudu-backups \
  foo bar
----

==== Restoring tables from Backups

To restore one or more Kudu tables, the `KuduRestore` Spark job can be used.
For each backed up table, the `KuduRestore` job will restore the full backup
and each associated incremental backup until the full table state is restored.
Restoring the full series of full and incremental backups is possible because
the backups are linked via the `from_ms` and `to_ms` fields in the backup metadata.
By default the restore job will create tables with the same name as the table
that was backed up. If you want to side-load the tables without affecting the
existing tables, you can pass `--tableSuffix` to append a suffix to each
restored table.

The common flags that will be used when restoring are:

* `--rootPath`: The root path to the backup data. Accepts any Spark-compatible path.
** See <<backup_directory>> for the directory structure used in the `rootPath`.
* `--kuduMasterAddresses`: Comma-separated addresses of Kudu masters. Default: `localhost`
* `--createTables`: If set to `true`, the restore process creates the tables.
  Set to `false` if the target tables already exist.  Default: `true`.
* `--tableSuffix`: If set, the suffix to add to the restored table names.
  Only used when `createTables` is `true`.
* `--timestampMs`: A UNIX timestamp in milliseconds that defines the latest time
  to use when selecting restore candidates. Default: `System.currentTimeMillis()`
* `<table>...`:  A list of tables to restore.

Note: You can see the full list of job options at anytime by passing the `--help` flag.

Below is a full example of a `KuduRestore` job execution which will restore the tables
`foo` and `bar` from the HDFS directory `kudu-backups`:

[source,bash]
----
spark-submit --class org.apache.kudu.backup.KuduRestore kudu-backup2_2.11-1.10.0.jar \
  --kuduMasterAddresses master1-host,master-2-host,master-3-host \
  --rootPath hdfs:///kudu-backups \
  foo bar
----

==== Backup tools

An additional `backup-tools` jar is available to provide some backup exploration and
garbage collection capabilities. This jar does not use Spark directly, but instead
only requires the Hadoop classpath to run.

Commands:

* `list`: Lists the backups in the rootPath.
* `clean`: Cleans up old backup data in the rootPath.

Note: You can see the full list of command options at anytime by passing the `--help` flag.

Below is an example execution which will print the command options:

[source,bash]
----
java -cp $(hadoop classpath):kudu-backup-tools-1.10.0.jar org.apache.kudu.backup.KuduBackupCLI --help
----

[[backup_directory]]
==== Backup Directory Structure

The backup directory structure in the `rootPath` is considered an internal detail
and could change in future versions of Kudu. Additionally the format and content
of the data and metadata files is meant for the backup and restore process only
and could change in future versions of Kudu. That said, understanding the structure
of the backup `rootPath` and how it is used can be useful when working with Kudu backups.

The backup directory structure in the `rootPath` is as follows:

[source,bash]
----
/<rootPath>/<tableId>-<tableName>/<backup-id>/
   .kudu-metadata.json
   part-*.<format>
----

* `rootPath`: Can be used to distinguish separate backup groups, jobs, or concerns.
* `tableId`: The unique internal ID of the table being backed up.
* `tableName`: The name of the table being backed up.
** Note: Table names are URL encoded to prevent pathing issues.
* `backup-id`: A way to uniquely identify/group the data for a single backup run.
* `.kudu-metadata.json`: Contains all of the metadata to support recreating the table,
  linking backups by time, and handling data format changes.
** Written last so that failed backups will not have a metadata file and will not be
  considered at restore time or backup linking time.
* `part-*.<format>`: The data files containing the tables data.
** Currently 1 part file per Kudu partition.
** Incremental backups contain an additional “RowAction” byte column at the end.
** Currently the only supported format/suffix is `parquet`

==== Troubleshooting

===== Generating a table list

To generate a list of tables to backup using the `kudu table list` tool along
with `grep` can be useful. Below is an example that will generate a list
of all tables that start with `my_db.`:

[source,bash]
----
kudu table list <master_addresses> | grep "^my_db\.*" | tr '\n' ' '
----

*Note*: This list could be saved as a part of you backup process to be used
at restore time as well.

===== Spark Tuning

In general the Spark jobs were designed to run with minimal tuning and configuration.
You can adjust the number of executors and resources to increase parallelism and performance
using Spark's
link:https://spark.apache.org/docs/latest/configuration.html[configuration options].

If your tables are super wide and your default memory allocation is fairly low, you
may see jobs fail. To resolve this increase the Spark executor memory. A conservative
rule of thumb is 1 GiB per 50 columns.

If your Spark resources drastically outscale the Kudu cluster you may want to limit the
number of concurrent tasks allowed to run on restore.

===== Backups on Kudu 1.9 and earlier

If your Kudu cluster is version 1.9 or earlier you can still use the backup tool
introduced in Kudu 1.10 to backup your tables. However, because the incremental
backup feature requires server side changes, you are limited to full backups only.
The process to backup tables is the same as documented above, but you will need to
download and use the kudu-backup jar from a Kudu 1.10+ release. Before running
the backup job you should adjust the configuration of your servers by setting
`--tablet_history_max_age_sec=604800`. This is the new default value in Kudu 1.10+
to ensure long running backup jobs can complete successfully and consistently.
Additionally, when running the backup you need to pass `--forceFull` to disable
the incremental backup feature. Now each time the job is run a full backup will be taken.

NOTE: Taking full backups on a regular basis is far more resource and time intensive
than incremental backups. It is recommended to upgrade to Kudu 1.10+ soon as possible.

[[physical_backup]]
=== Physical backups of an entire node

Kudu does not yet provide built-in physical backup and restore functionality.
However, it is possible to create a physical backup of a Kudu node (either
tablet server or master) and restore it later.

WARNING: The node to be backed up must be offline during the procedure, or else
the backed up (or restored) data will be inconsistent.

WARNING: Certain aspects of the Kudu node (such as its hostname) are embedded in
the on-disk data. As such, it's not yet possible to restore a physical backup of
a node onto another machine.

. Stop all Kudu processes in the cluster. This prevents the tablets on the
  backed up node from being rereplicated elsewhere unnecessarily.

. If creating a backup, make a copy of the WAL, metadata, and data directories
  on each node to be backed up. It is important that this copy preserve all file
  attributes as well as sparseness.

. If restoring from a backup, delete the existing WAL, metadata, and data
  directories, then restore the backup via move or copy. As with creating a
  backup, it is important that the restore preserve all file attributes and
  sparseness.

. Start all Kudu processes in the cluster.

== Common Kudu workflows

[[migrate_to_multi_master]]
=== Migrating to Multiple Kudu Masters

For high availability and to avoid a single point of failure, Kudu clusters should be created with
multiple masters. Many Kudu clusters were created with just a single master, either for simplicity
or because Kudu multi-master support was still experimental at the time. This workflow demonstrates
how to migrate to a multi-master configuration. It can also be used to migrate from two masters to
three, with straightforward modifications. Note that the number of masters must be odd.

WARNING: The workflow is unsafe for adding new masters to an existing configuration that already has
three or more masters. Do not use it for that purpose.

WARNING: An even number of masters doesn't provide any benefit over having one fewer masters.  This
guide should always be used for migrating to three masters.

WARNING: All of the command line steps below should be executed as the Kudu UNIX user. The example
commands assume the Kudu Unix user is `kudu`, which is typical.

WARNING: The workflow presupposes at least basic familiarity with Kudu configuration management. If
using vendor-specific tools the workflow also presupposes familiarity with
it and the vendor's instructions should be used instead as details may differ.

==== Prepare for the migration

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
  will be unavailable.

. Decide how many masters to use. The number of masters should be odd. Three or five node master
  configurations are recommended; they can tolerate one or two failures respectively.

. Perform the following preparatory steps for the existing master:
* Identify and record the directories where the master's write-ahead log (WAL) and data live. If
  using Kudu system packages, their default locations are /var/lib/kudu/master, but they may be
  customized via the `fs_wal_dir` and `fs_data_dirs` configuration parameters. The commands below
  assume that `fs_wal_dir` is /data/kudu/master/wal and `fs_data_dirs` is /data/kudu/master/data.
  Your configuration may differ. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the port the master is using for RPCs. The default port value is 7051, but it
  may have been customized using the `rpc_bind_addresses` configuration parameter.
* Identify the master's UUID. It can be fetched using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
master_data_dir:: existing master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
4aab798a69e94fab8d77069edff28ce0
----
+
* Optional: configure a DNS alias for the master. The alias could be a DNS cname (if the machine
  already has an A record in DNS), an A record (if the machine is only known by its IP address),
  or an alias in /etc/hosts. The alias should be an abstract representation of the master (e.g.
  `master-1`).
+
WARNING: Without DNS aliases it is not possible to recover from permanent master failures without
bringing the cluster down for maintenance, and as such, it is highly recommended.
+
. If you have Kudu tables that are accessed from Impala, you must update
the master addresses in the Apache Hive Metastore (HMS) database.
* If you set up the DNS aliases, run the following statement in `impala-shell`,
replacing `master-1`, `master-2`, and `master-3` with your actual aliases.
+
[source,sql]
----
ALTER TABLE table_name
SET TBLPROPERTIES
('kudu.master_addresses' = 'master-1,master-2,master-3');
----
+
* If you do not have DNS aliases set up, see Step #11 in the Performing
the migration section for updating HMS.
+
. Perform the following preparatory steps for each new master:
* Choose an unused machine in the cluster. The master generates very little load
  so it can be collocated with other data services or load-generating processes,
  though not with another Kudu master from the same configuration.
* Ensure Kudu is installed on the machine, either via system packages (in which case the `kudu` and
  `kudu-master` packages should be installed), or via some other means.
* Choose and record the directory where the master's data will live.
* Choose and record the port the master should use for RPCs.
* Optional: configure a DNS alias for the master (e.g. `master-2`, `master-3`, etc).

[[perform-the-migration]]
==== Perform the migration

. Stop all the Kudu processes in the entire cluster.

. Format the data directory on each new master machine, and record the generated UUID. Use the
  following command sequence:
+
[source,bash]
----
$ sudo -u kudu kudu fs format --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>]
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
+
master_data_dir:: new master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs format --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
f5624e05f40649b79a757629a69d061e
----

. If using CM, add the new Kudu master roles now, but do not start them.
* If using DNS aliases, override the empty value of the `Master Address` parameter for each role
  (including the existing master role) with that master's alias.
* Add the port number (separated by a colon) if using a non-default RPC port value.

. Rewrite the master's Raft configuration with the following command, executed on the existing
  master machine:
+
[source,bash]
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <all_masters>
----
+
master_data_dir:: existing master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
all_masters:: space-separated list of masters, both new and existing. Each entry in the list must be
  a string of the form `<uuid>:<hostname>:<port>`
uuid::: master's previously recorded UUID
hostname::: master's previously recorded hostname or alias
port::: master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 4aab798a69e94fab8d77069edff28ce0:master-1:7051 f5624e05f40649b79a757629a69d061e:master-2:7051 988d8ac6530f426cbe180be5ba52033d:master-3:7051
----

. Modify the value of the `master_addresses` configuration parameter for both existing master and new masters.
  The new value must be a comma-separated list of all of the masters. Each entry is a string of the form `<hostname>:<port>`
hostname:: master's previously recorded hostname or alias
port:: master's previously recorded RPC port number

. Start the existing master.

. Copy the master data to each new master with the following command, executed on each new master
  machine.
+
WARNING: If your Kudu cluster is secure, in addition to running as the Kudu UNIX user, you must
  authenticate as the Kudu service user prior to running this command.
+
[source,bash]
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <existing_master>
----
+
master_data_dir:: new master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
existing_master:: RPC address of the existing master and must be a string of the form
`<hostname>:<port>`
hostname::: existing master's previously recorded hostname or alias
port::: existing master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 master-1:7051
----

. Start all of the new masters.
+
WARNING: Skip the next step if using CM.
+
. Modify the value of the `tserver_master_addrs` configuration parameter for each tablet server.
  The new value must be a comma-separated list of masters where each entry is a string of the form
  `<hostname>:<port>`
hostname:: master's previously recorded hostname or alias
port:: master's previously recorded RPC port number

. Start all of the tablet servers.
. If you have Kudu tables that are accessed from Impala and you didn't set up
DNS aliases, update the HMS database manually in the underlying database that
provides the storage for HMS.
* The following is an example SQL statement you should run in the HMS database:
+
[source,sql]
----
UPDATE TABLE_PARAMS
SET PARAM_VALUE =
  'master-1.example.com,master-2.example.com,master-3.example.com'
WHERE PARAM_KEY = 'kudu.master_addresses' AND PARAM_VALUE = 'old-master';
----
+
* In `impala-shell`, run:
+
[source,bash]
----
INVALIDATE METADATA;
----

==== Verify the migration was successful

To verify that all masters are working properly, perform the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Recovering from a dead Kudu Master in a Multi-Master Deployment

Kudu multi-master deployments function normally in the event of a master loss. However, it is
important to replace the dead master; otherwise a second failure may lead to a loss of availability,
depending on the number of available masters. This workflow describes how to replace the dead
master.

Due to https://issues.apache.org/jira/browse/KUDU-1620[KUDU-1620], it is not possible to perform
this workflow without also restarting the live masters. As such, the workflow requires a
maintenance window, albeit a potentially brief one if the cluster was set up with DNS aliases.

WARNING: Kudu does not yet support live Raft configuration changes for masters. As such, it is only
possible to replace a master if the deployment was created with DNS aliases or if every node in the
cluster is first shut down. See the <<migrate_to_multi_master,multi-master migration workflow>> for
more details on deploying with DNS aliases.

WARNING: The workflow presupposes at least basic familiarity with Kudu configuration management. If
using vendor-specific tools the workflow also presupposes familiarity with
it and the vendor's instructions should be used instead as details may differ.

WARNING: All of the command line steps below should be executed as the Kudu UNIX user, typically
`kudu`.

==== Prepare for the recovery

. If the deployment was configured without DNS aliases perform the following steps:
* Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
  will be unavailable.
* Shut down all Kudu tablet server processes in the cluster.

. Ensure that the dead master is well and truly dead. Take whatever steps needed to prevent it from
  accidentally restarting; this can be quite dangerous for the cluster post-recovery.

. Choose one of the remaining live masters to serve as a basis for recovery. The rest of this
  workflow will refer to this master as the "reference" master.

. Choose an unused machine in the cluster where the new master will live. The master generates very
  little load so it can be collocated with other data services or load-generating processes, though
  not with another Kudu master from the same configuration.
  The rest of this workflow will refer to this master as the "replacement" master.

. Perform the following preparatory steps for the replacement master:
* Ensure Kudu is installed on the machine, either via system packages (in which case the `kudu` and
  `kudu-master` packages should be installed), or via some other means.
* Choose and record the directory where the master's data will live.

. Perform the following preparatory steps for each live master:
* Identify and record the directory where the master's data lives. If using Kudu system packages,
  the default value is /var/lib/kudu/master, but it may be customized via the `fs_wal_dir` and
  `fs_data_dirs` configuration parameters. Please note if you've set `fs_data_dirs` to some directories
  other than the value of `fs_wal_dir`, it should be explicitly included in every command below where
  `fs_wal_dir` is also included. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the master's UUID. It can be fetched using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
master_data_dir:: live master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
80a82c4b8a9f4c819bab744927ad765c
----
+
. Perform the following preparatory steps for the reference master:
* Identify and record the directory where the master's data lives. If using Kudu system packages,
  the default value is /var/lib/kudu/master, but it may be customized via the `fs_wal_dir` and
  `fs_data_dirs` configuration parameters. Please note if you've set `fs_data_dirs` to some directories
  other than the value of `fs_wal_dir`, it should be explicitly included in every command below where
  `fs_wal_dir` is also included. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the UUIDs of every master in the cluster, using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu local_replica cmeta print_replica_uuids --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> 2>/dev/null
----
master_data_dir:: reference master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica cmeta print_replica_uuids --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 2>/dev/null
80a82c4b8a9f4c819bab744927ad765c 2a73eeee5d47413981d9a1c637cce170 1c3f3094256347528d02ec107466aef3
----
+
. Using the two previously-recorded lists of UUIDs (one for all live masters and one for all
  masters), determine and record (by process of elimination) the UUID of the dead master.

==== Perform the recovery

. Format the data directory on the replacement master machine using the previously recorded
  UUID of the dead master. Use the following command sequence:
+
[source,bash]
----
$ sudo -u kudu kudu fs format --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] --uuid=<uuid>
----
+
master_data_dir:: replacement master's previously recorded data directory
uuid:: dead master's previously recorded UUID
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs format --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data --uuid=80a82c4b8a9f4c819bab744927ad765c
----
+
. Copy the master data to the replacement master with the following command:
+
WARNING: If your Kudu cluster is secure, in addition to running as the Kudu UNIX user, you must
  authenticate as the Kudu service user prior to running this command.
+
[source,bash]
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <reference_master>
----
+
master_data_dir:: replacement master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
reference_master:: RPC address of the reference master and must be a string of the form
`<hostname>:<port>`
hostname::: reference master's previously recorded hostname or alias
port::: reference master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 master-2:7051
----
+
. If using CM, add the replacement Kudu master role now, but do not start it.
* Override the empty value of the `Master Address` parameter for the new role with the replacement
  master's alias.
* Add the port number (separated by a colon) if using a non-default RPC port value.

. If the cluster was set up with DNS aliases, reconfigure the DNS alias for the dead master to point
  at the replacement master.

. If the cluster was set up without DNS aliases, perform the following steps:
* Stop the remaining live masters.
* Rewrite the Raft configurations on these masters to include the replacement master. See Step 4 of
  <<perform-the-migration, Perform the Migration>> for more details.

. Start the replacement master.

. Restart the remaining masters in the new multi-master deployment. While the masters are shut down,
  there will be an availability outage, but it should last only as long as it takes for the masters
  to come back up.

Congratulations, the dead master has been replaced! To verify that all masters are working properly,
consider performing the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Removing Kudu Masters from a Multi-Master Deployment

In the event that a multi-master deployment has been overallocated nodes, the following steps should
be taken to remove the unwanted masters.

WARNING: In planning the new multi-master configuration, keep in mind that the number of masters
should be odd and that three or five node master configurations are recommended.

WARNING: Dropping the number of masters below the number of masters currently needed for a Raft
majority can incur data loss. To mitigate this, ensure that the leader master is not removed during
this process.

==== Prepare for the removal

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
will be unavailable.

. Identify the UUID and RPC address current leader of the multi-master deployment by visiting the
`/masters` page of any master's web UI. This master must not be removed during this process; its
removal may result in severe data loss.

. Stop all the Kudu processes in the entire cluster.

. If using CM, remove the unwanted Kudu master.

==== Perform the removal

. Rewrite the Raft configuration on the remaining masters to include only the remaining masters. See
Step 4 of <<perform-the-migration,Perform the Migration>> for more details.

. Remove the data directories and WAL directory on the unwanted masters. This is a precaution to
ensure that they cannot start up again and interfere with the new multi-master deployment.

. Modify the value of the `master_addresses` configuration parameter for the masters of the new
multi-master deployment. If migrating to a single-master deployment, the `master_addresses` flag
should be omitted entirely.

. Start all of the masters that were not removed.

. Modify the value of the `tserver_master_addrs` configuration parameter for the tablet servers to
remove any unwanted masters.

. Start all of the tablet servers.

==== Verify the migration was successful

To verify that all masters are working properly, perform the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Changing the master hostnames

To prevent long maintenance windows when replacing dead masters, DNS aliases should be used. If the
cluster was set up without aliases, changing the host names can be done by following the below
steps.

==== Prepare for the hostname change

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
will be unavailable.

. Note the UUID and RPC address of every master by visiting the `/masters` page of any master's web
UI.

. Stop all the Kudu processes in the entire cluster.

. Set up the new hostnames to point to the masters and verify all servers and clients properly
resolve them.

==== Perform the hostname change

. Rewrite each master’s Raft configuration with the following command, executed on all master hosts:
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 00000000000000000000000000000000 <all_masters>
----

For example:

----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 4aab798a69e94fab8d77069edff28ce0:new-master-name-1:7051 f5624e05f40649b79a757629a69d061e:new-master-name-2:7051 988d8ac6530f426cbe180be5ba52033d:new-master-name-3:7051
----

. Change the masters' gflagfile so the `master_addresses` parameter reflects the new hostnames.

. Change the `tserver_master_addrs` parameter in the tablet servers' gflagfiles to the new
hostnames.

. Start up the masters.

. To verify that all masters are working properly, perform the following sanity checks:

.. Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

.. Run the below command to verify all masters are up and listening. The UUIDs
should be the same and belong to the same master as before the hostname change:
+
----
$ sudo -u kudu kudu master list new-master-name-1:7051,new-master-name-2:7051,new-master-name-3:7051
----

. Start all of the tablet servers.

. Run a Kudu system check (ksck) on the cluster using the `kudu` command line
tool. See <<ksck>> for more details. After startup, some tablets may be
unavailable as it takes some time to initialize all of them.

. If you have Kudu tables that are accessed from Impala, update the HMS
database manually in the underlying database that provides the storage for HMS.

.. The following is an example SQL statement you should run in the HMS database:
+
[source,sql]
----
UPDATE TABLE_PARAMS
SET PARAM_VALUE =
  'new-master-name-1:7051,new-master-name-2:7051,new-master-name-3:7051'
WHERE PARAM_KEY = 'kudu.master_addresses'
AND PARAM_VALUE = 'master-1:7051,master-2:7051,master-3:7051';
----
+
.. In `impala-shell`, run:
+
[source,bash]
----
INVALIDATE METADATA;
----
+
.. Verify updating the metadata worked by running a simple `SELECT` query on a
Kudu-backed Impala table.

[[adding_tablet_servers]]
=== Best Practices When Adding New Tablet Servers

A common workflow when administering a Kudu cluster is adding additional tablet
server instances, in an effort to increase storage capacity, decrease load or
utilization on individual hosts, increase compute power, etc.

By default, any newly added tablet servers will not be utilized immediately
after their addition to the cluster. Instead, newly added tablet servers will
only be utilized when new tablets are created or when existing tablets need to
be replicated, which can lead to imbalanced nodes. It's recommended to run
the rebalancer CLI tool just after adding a new tablet server into the cluster,
as described in the enumerated steps below.

Avoid placing multiple tablet servers on a single node. Doing so
nullifies the point of increasing the overall storage capacity of a Kudu
cluster and increases the likelihood of tablet unavailability when a single
node fails (the latter drawback is not applicable if the cluster is properly
configured to use the
link:https://kudu.apache.org/docs/administration.html#rack_awareness[location
awareness] feature).

To add additional tablet servers to an existing cluster, the
following steps can be taken to ensure tablet replicas are uniformly
distributed across the cluster:

1. Ensure that Kudu is installed on the new machines being added to the
cluster, and that the new instances have been
link:https://kudu.apache.org/docs/configuration.html#_configuring_tablet_servers[
correctly configured] to point to the pre-existing cluster. Then, start up
the new tablet server instances.
2. Verify that the new instances check in with the Kudu Master(s)
successfully. A quick method for verifying they've successfully checked in
with the existing Master instances is to view the Kudu Master WebUI,
specifically the `/tablet-servers` section, and validate that the newly
added instances are registered, and heartbeating.
3. Once the tablet server(s) are successfully online and healthy, follow
the steps to run the
link:https://kudu.apache.org/docs/administration.html#rebalancer_tool[
rebalancing tool] which will spread existing tablet replicas to the newly added
tablet servers.
4. After the rebalancer tool has completed, or even during its execution,
you can check on the health of the cluster using the `ksck` command-line utility
(see <<ksck>> for more details).

[[ksck]]
=== Checking Cluster Health with `ksck`

The `kudu` CLI includes a tool named `ksck` that can be used for gathering
information about the state of a Kudu cluster, including checking its health.
`ksck` will identify issues such as under-replicated tablets, unreachable
tablet servers, or tablets without a leader.

`ksck` should be run from the command line as the Kudu admin user, and requires
the full list of master addresses to be specified:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck master-01.example.com,master-02.example.com,master-03.example.com
----

To see a full list of the options available with `ksck`, use the `--help` flag.
If the cluster is healthy, `ksck` will print information about the cluster, a
success message, and return a zero (success) exit status.

----
Master Summary
               UUID               |       Address         | Status
----------------------------------+-----------------------+---------
 a811c07b99394df799e6650e7310f282 | master-01.example.com | HEALTHY
 b579355eeeea446e998606bcb7e87844 | master-02.example.com | HEALTHY
 cfdcc8592711485fad32ec4eea4fbfcd | master-02.example.com | HEALTHY

Tablet Server Summary
               UUID               |        Address         | Status
----------------------------------+------------------------+---------
 a598f75345834133a39c6e51163245db | tserver-01.example.com | HEALTHY
 e05ca6b6573b4e1f9a518157c0c0c637 | tserver-02.example.com | HEALTHY
 e7e53a91fe704296b3a59ad304e7444a | tserver-03.example.com | HEALTHY

Version Summary
 Version |      Servers
---------+-------------------------
  1.7.1  | all 6 server(s) checked

Summary by table
   Name   | RF | Status  | Total Tablets | Healthy | Recovering | Under-replicated | Unavailable
----------+----+---------+---------------+---------+------------+------------------+-------------
 my_table | 3  | HEALTHY | 8             | 8       | 0          | 0                | 0

                | Total Count
----------------+-------------
 Masters        | 3
 Tablet Servers | 3
 Tables         | 1
 Tablets        | 8
 Replicas       | 24
OK
----

If the cluster is unhealthy, for instance if a tablet server process has
stopped, `ksck` will report the issue(s) and return a non-zero exit status, as
shown in the abbreviated snippet of `ksck` output below:

----
Tablet Server Summary
               UUID               |        Address         |   Status
----------------------------------+------------------------+-------------
 a598f75345834133a39c6e51163245db | tserver-01.example.com | HEALTHY
 e05ca6b6573b4e1f9a518157c0c0c637 | tserver-02.example.com | HEALTHY
 e7e53a91fe704296b3a59ad304e7444a | tserver-03.example.com | UNAVAILABLE
Error from 127.0.0.1:7150: Network error: could not get status from server: Client connection negotiation failed: client connection to 127.0.0.1:7150: connect: Connection refused (error 61) (UNAVAILABLE)

... (full output elided)

==================
Errors:
==================
Network error: error fetching info from tablet servers: failed to gather info for all tablet servers: 1 of 3 had errors
Corruption: table consistency check error: 1 out of 1 table(s) are not healthy

FAILED
Runtime error: ksck discovered errors
----

To verify data integrity, the optional `--checksum_scan` flag can be set, which
will ensure the cluster has consistent data by scanning each tablet replica and
comparing results. The `--tables` or `--tablets` flags can be used to limit the
scope of the checksum scan to specific tables or tablets, respectively. For
example, checking data integrity on the `my_table` table can be done with the
following command:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck --checksum_scan --tables my_table master-01.example.com,master-02.example.com,master-03.example.com
----

By default, `ksck` will attempt to use a snapshot scan of the table, so the
checksum scan can be done while writes continue.

Finally, `ksck` also supports output in JSON format using the `--ksck_format`
flag. JSON output contains the same information as the plain text output, but
in a format that can be used by other tools. See `kudu cluster ksck --help` for
more information.

[[change_dir_config]]
=== Changing Directory Configurations

For higher read parallelism and larger volumes of storage per server, users may
want to configure servers to store data in multiple directories on different
devices. Once a server is started, users must go through the following steps
to change the directory configuration.

Users can add or remove data directories to an existing master or tablet server
via the `kudu fs update_dirs` tool. Data is striped across data directories,
and when a new data directory is added, new data will be striped across the
union of the old and new directories.

NOTE: Unless the `--force` flag is specified, Kudu will not allow for the
removal of a directory across which tablets are configured to spread data. If
`--force` is specified, all tablets configured to use that directory will fail
upon starting up and be replicated elsewhere.

NOTE: If the link:configuration.html#directory_configuration[metadata
directory] overlaps with a data directory, as was the default prior to Kudu
1.7, or if a non-default metadata directory is configured, the
`--fs_metadata_dir` configuration must be specified when running the `kudu fs
update_dirs` tool.

NOTE: Only new tablet replicas (i.e. brand new tablets' replicas and replicas
that are copied to the server for high availability) will use the new
directory. Existing tablet replicas on the server will not be rebalanced across
the new directory.

WARNING: All of the command line steps below should be executed as the Kudu
UNIX user, typically `kudu`.

. The tool can only run while the server is offline, so establish a maintenance
  window to update the server. The tool itself runs quickly, so this offline
  window should be brief, and as such, only the server to update needs to be
  offline. However, if the server is offline for too long (see the
  `follower_unavailable_considered_failed_sec` flag), the tablet replicas on it
  may be evicted from their Raft groups. To avoid this, it may be desirable to
  bring the entire cluster offline while performing the update.

. Run the tool with the desired directory configuration flags. For example, if a
  cluster was set up with `--fs_wal_dir=/wals`, `--fs_metadata_dir=/meta`, and
  `--fs_data_dirs=/data/1,/data/2,/data/3`, and `/data/3` is to be removed (e.g.
  due to a disk error), run the command:

+
[source,bash]
----
$ sudo -u kudu kudu fs update_dirs --force --fs_wal_dir=/wals --fs_metadata_dir=/meta --fs_data_dirs=/data/1,/data/2
----
+

. Modify the values of the `fs_data_dirs` flags for the updated sever. If using
  CM, make sure to only update the configurations of the updated server, rather
  than of the entire Kudu service.

. Once complete, the server process can be started. When Kudu is installed using
  system packages, `service` is typically used:

+
[source,bash]
----
$ sudo service kudu-tserver start
----
+

[[disk_failure_recovery]]
=== Recovering from Disk Failure
Kudu nodes can only survive failures of disks on which certain Kudu directories
are mounted. For more information about the different Kudu directory types, see
the section on link:configuration.html#directory_configuration[Kudu Directory
Configurations]. Below describes this behavior across different Apache Kudu
releases.

[[disk_failure_behavior]]
.Kudu Disk Failure Behavior
[cols="<,<,<",options="header"]
|===
| Node Type | Kudu Directory Type | Kudu Releases that Crash on Disk Failure
| Master | All | All
| Tablet Server | Directory containing WALs | All
| Tablet Server | Directory containing tablet metadata | All
| Tablet Server | Directory containing data blocks only | Pre-1.6.0
|===

When a disk failure occurs that does not lead to a crash, Kudu will stop using
the affected directory, shut down tablets with blocks on the affected
directories, and automatically re-replicate the affected tablets to other
tablet servers. The affected server will remain alive and print messages to the
log indicating the disk failure, for example:

----
E1205 19:06:24.163748 27115 data_dirs.cc:1011] Directory /data/8/kudu/data marked as failed
E1205 19:06:30.324795 27064 log_block_manager.cc:1822] Not using report from /data/8/kudu/data: IO error: Could not open container 0a6283cab82d4e75848f49772d2638fe: /data/8/kudu/data/0a6283cab82d4e75848f49772d2638fe.metadata: Read-only file system (error 30)
E1205 19:06:33.564638 27220 ts_tablet_manager.cc:946] T 4957808439314e0d97795c1394348d80 P 70f7ee61ead54b1885d819f354eb3405: aborting tablet bootstrap: tablet has data in a failed directory
----

While in this state, the affected node will avoid using the failed disk,
leading to lower storage volume and reduced read parallelism. The administrator
should schedule a brief window to <<change_dir_config,update the node's
directory configuration>> to exclude the failed disk.

When the disk is repaired, remounted, and ready to be reused by Kudu, take the
following steps:

. Make sure that the Kudu portion of the disk is completely empty.
. Stop the tablet server.
. Run the `update_dirs` tool. For example, to add `/data/3`, run the following:
+
[source,bash]
----
$ sudo -u kudu kudu fs update_dirs --force --fs_wal_dir=/wals --fs_data_dirs=/data/1,/data/2,/data/3
----
+

. Start the tablet server.
. Run `ksck` to verify cluster health.
+
[source,bash]
----
sudo -u kudu kudu cluster ksck master-01.example.com
----
+

Note that existing tablets will not stripe to the restored disk, but any new tablets
will stripe to the restored disk.

[[disk_full_recovery]]
=== Recovering from Full Disks
By default, Kudu reserves a small amount of space (1% by capacity) in its
directories; Kudu considers a disk full if there is less free space available
than the reservation. Kudu nodes can only tolerate running out of space on disks
on which certain Kudu directories are mounted. For more information about the
different Kudu directory types, see
link:configuration.html#directory_configuration[Kudu Directory Configurations].
The table below describes this behavior for each type of directory. The behavior
is uniform across masters and tablet servers.
[[disk_full_behavior]]
.Kudu Full Disk Behavior
[options="header"]
|===
| Kudu Directory Type | Crash on a Full Disk?
| Directory containing WALs | Yes
| Directory containing tablet metadata | Yes
| Directory containing data blocks only | No (see below)
|===

Prior to Kudu 1.7.0, Kudu stripes tablet data across all directories, and will
avoid writing data to full directories. Kudu will crash if all data directories
are full.

In 1.7.0 and later, new tablets are assigned a disk group consisting of
-fs_target_data_dirs_per_tablet data dirs (default 3). If Kudu is not configured
with enough data directories for a full disk group, all data directories are
used. When a data directory is full, Kudu will stop writing new data to it and
each tablet that uses that data directory will write new data to other data
directories within its group. If all data directories for a tablet are full, Kudu
will crash. Periodically, Kudu will check if full data directories are still
full, and will resume writing to those data directories if space has become
available.

If Kudu does crash because its data directories are full, freeing space on the
full directories will allow the affected daemon to restart and resume writing.
Note that it may be possible for Kudu to free some space by running

[source,bash]
----
$ sudo -u kudu kudu fs check --repair
----

but this command may also fail if there is too little space left.

It's also possible to allocate additional data directories to Kudu in order to
increase the overall amount of storage available. See the documentation on
<<change_dir_config,updating a node's directory configuration>> for more
information. Note that existing tablets will not use new data directories, so
adding a new data directory does not resolve issues with full disks.

[[tablet_majority_down_recovery]]
=== Bringing a tablet that has lost a majority of replicas back online

If a tablet has permanently lost a majority of its replicas, it cannot recover
automatically and operator intervention is required. If the tablet servers
hosting a majority of the replicas are down (i.e. ones reported as "TS
unavailable" by ksck), they should be recovered instead if possible.

WARNING: The steps below may cause recent edits to the tablet to be lost,
potentially resulting in permanent data loss. Only attempt the procedure below
if it is impossible to bring a majority back online.

Suppose a tablet has lost a majority of its replicas. The first step in
diagnosing and fixing the problem is to examine the tablet's state using ksck:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck --tablets=e822cab6c0584bc0858219d1539a17e6 master-00,master-01,master-02
Connected to the Master
Fetched info from all 5 Tablet Servers
Tablet e822cab6c0584bc0858219d1539a17e6 of table 'my_table' is unavailable: 2 replica(s) not RUNNING
  638a20403e3e4ae3b55d4d07d920e6de (tserver-00:7150): RUNNING
  9a56fa85a38a4edc99c6229cba68aeaa (tserver-01:7150): bad state
    State:       FAILED
    Data state:  TABLET_DATA_READY
    Last status: <failure message>
  c311fef7708a4cf9bb11a3e4cbcaab8c (tserver-02:7150): bad state
    State:       FAILED
    Data state:  TABLET_DATA_READY
    Last status: <failure message>
----

This output shows that, for tablet `e822cab6c0584bc0858219d1539a17e6`, the two
tablet replicas on `tserver-01` and `tserver-02` failed. The remaining replica
is not the leader, so the leader replica failed as well. This means the chance
of data loss is higher since the remaining replica on `tserver-00` may have
been lagging. In general, to accept the potential data loss and restore the
tablet from the remaining replicas, divide the tablet replicas into two groups:

1. Healthy replicas: Those in `RUNNING` state as reported by ksck
2. Unhealthy replicas

For example, in the above ksck output, the replica on tablet server `tserver-00`
is healthy, while the replicas on `tserver-01` and `tserver-02` are unhealthy.
On each tablet server with a healthy replica, alter the consensus configuration
to remove unhealthy replicas. In the typical case of 1 out of 3 surviving
replicas, there will be only one healthy replica, so the consensus configuration
will be rewritten to include only the healthy replica.

[source,bash]
----
$ sudo -u kudu kudu remote_replica unsafe_change_config tserver-00:7150 <tablet-id> <tserver-00-uuid>
----

where `<tablet-id>` is `e822cab6c0584bc0858219d1539a17e6` and
`<tserver-00-uuid>` is the uuid of `tserver-00`,
`638a20403e3e4ae3b55d4d07d920e6de`.

Once the healthy replicas' consensus configurations have been forced to exclude
the unhealthy replicas, the healthy replicas will be able to elect a leader.
The tablet will become available for writes, though it will still be
under-replicated. Shortly after the tablet becomes available, the leader master
will notice that it is under-replicated, and will cause the tablet to
re-replicate until the proper replication factor is restored. The unhealthy
replicas will be tombstoned by the master, causing their remaining data to be
deleted.

[[rebuilding_kudu]]
=== Rebuilding a Kudu Filesystem Layout

In the event that critical files are lost, i.e. WALs or tablet-specific
metadata, all Kudu directories on the server must be deleted and rebuilt to
ensure correctness. Doing so will destroy the copy of the data for each tablet
replica hosted on the local server. Kudu will automatically re-replicate tablet
replicas removed in this way, provided the replication factor is at least three
and all other servers are online and healthy.

NOTE: These steps use a tablet server as an example, but the steps are the same
for Kudu master servers.

WARNING: If multiple nodes need their FS layouts rebuilt, wait until all
replicas previously hosted on each node have finished automatically
re-replicating elsewhere before continuing. Failure to do so can result in
permanent data loss.

WARNING: Before proceeding, ensure the contents of the directories are backed
up, either as a copy or in the form of other tablet replicas.

. The first step to rebuilding a server with a new directory configuration is
  emptying all of the server's existing directories. For example, if a tablet
  server is configured with `--fs_wal_dir=/data/0/kudu-tserver-wal`,
  `--fs_metadata_dir=/data/0/kudu-tserver-meta`, and
  `--fs_data_dirs=/data/1/kudu-tserver,/data/2/kudu-tserver`, the following
  commands will remove the WAL directory's and data directories' contents:

+
[source,bash]
----
# Note: this will delete all of the data from the local tablet server.
$ rm -rf /data/0/kudu-tserver-wal/* /data/0/kudu-tserver-meta/* /data/1/kudu-tserver/* /data/2/kudu-tserver/*
----
+

. If using CM, update the configurations for the rebuilt server to include only
  the desired directories. Make sure to only update the configurations of servers
  to which changes were applied, rather than of the entire Kudu service.

. After directories are deleted, the server process can be started with the new
  directory configuration. The appropriate sub-directories will be created by
  Kudu upon starting up.

[[minimizing_cluster_disruption_during_temporary_single_ts_downtime]]
=== Minimizing cluster disruption during temporary planned downtime of a single tablet server

If a single tablet server is brought down temporarily in a healthy cluster, all
tablets will remain available and clients will function as normal, after
potential short delays due to leader elections. However, if the downtime lasts
for more than `--follower_unavailable_considered_failed_sec` (default 300)
seconds, the tablet replicas on the down tablet server will be replaced by new
replicas on available tablet servers. This will cause stress on the cluster
as tablets re-replicate and, if the downtime lasts long enough, significant
reduction in the number of replicas on the down tablet server, which would
require the rebalancer to fix.

To work around this, in Kudu versions from 1.11 onwards, the `kudu` CLI
contains a tool to put tablet servers into maintenance mode. While in this
state, the tablet server’s replicas are not re-replicated due to its downtime
alone, though re-replication may still occur in the event that the server in
maintenance suffers from a disk failure or if a follower replica on the tablet
server falls too far behind its leader replica. Upon exiting maintenance,
re-replication is triggered for any remaining under-replicated tablets.

The `kudu tserver state enter_maintenance` and `kudu tserver state
exit_maintenance` tools are added to orchestrate tablet server maintenance.
The following can be run from a tablet server to put it into maintenance:

[source,bash]
----
$ TS_UUID=$(sudo -u kudu kudu fs dump uuid --fs_wal_dir=<wal_dir> --fs_data_dirs=<data_dirs>)
$ sudo -u kudu kudu tserver state enter_maintenance <master_addresses> "$TS_UUID"
----

The tablet server maintenance mode is shown in the "Tablet Servers" page of the
Kudu leader master's web UI, and in the output of `kudu cluster ksck`.  To exit
maintenance mode, run the following:

[source,bash]
----
$ sudo -u kudu kudu tserver state exit_maintenance <master_addresses> "$TS_UUID"
----

In versions prior to 1.11, a different approach must be used to prevent
unwanted re-replication. Increase
`--follower_unavailable_considered_failed_sec` on all tablet servers so the
amount of time before re-replication starts is longer than the expected
downtime of the tablet server, including the time it takes the tablet server to
restart and bootstrap its tablet replicas. To do this, run the following
command for each tablet server:

[source,bash]
----
$ sudo -u kudu kudu tserver set_flag <tserver_address> follower_unavailable_considered_failed_sec <num_seconds>
----

where `<num_seconds>` is the number of seconds that will encompass the downtime.
Once the downtime is finished, reset the flag to its original value.

----
$ sudo -u kudu kudu tserver set_flag <tserver_address> follower_unavailable_considered_failed_sec <original_value>
----

WARNING: Be sure to reset the value of `--follower_unavailable_considered_failed_sec`
to its original value.

NOTE: On Kudu versions prior to 1.8, the `--force` flag must be provided in the above
`set_flag` commands.

[[rebalancer_tool]]
=== Running the tablet rebalancing tool

The `kudu` CLI contains a rebalancing tool that can be used to rebalance
tablet replicas among tablet servers. For each table, the tool attempts to
balance the number of replicas per tablet server. It will also, without
unbalancing any table, attempt to even out the number of replicas per tablet
server across the cluster as a whole. The rebalancing tool should be run as the
Kudu admin user, specifying all master addresses:

[source,bash]
----
sudo -u kudu kudu cluster rebalance master-01.example.com,master-02.example.com,master-03.example.com
----

When run, the rebalancer will report on the initial tablet replica distribution
in the cluster, log the replicas it moves, and print a final summary of the
distribution when it terminates:

----
Per-server replica distribution summary:
       Statistic       |   Value
-----------------------+-----------
 Minimum Replica Count | 0
 Maximum Replica Count | 24
 Average Replica Count | 14.400000

Per-table replica distribution summary:
 Replica Skew |  Value
--------------+----------
 Minimum      | 8
 Maximum      | 8
 Average      | 8.000000

I0613 14:18:49.905897 3002065792 rebalancer.cc:779] tablet e7ee9ade95b342a7a94649b7862b345d: 206a51de1486402bbb214b5ce97a633c -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move scheduled
I0613 14:18:49.917578 3002065792 rebalancer.cc:779] tablet 5f03944529f44626a0d6ec8b1edc566e: 6e64c4165b864cbab0e67ccd82091d60 -> ba8c22ab030346b4baa289d6d11d0809 move scheduled
I0613 14:18:49.928683 3002065792 rebalancer.cc:779] tablet 9373fee3bfe74cec9054737371a3b15d: fab382adf72c480984c6cc868fdd5f0e -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move scheduled

... (full output elided)

I0613 14:19:01.162802 3002065792 rebalancer.cc:842] tablet f4c046f18b174cc2974c65ac0bf52767: 206a51de1486402bbb214b5ce97a633c -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move completed: OK

rebalancing is complete: cluster is balanced (moved 28 replicas)
Per-server replica distribution summary:
       Statistic       |   Value
-----------------------+-----------
 Minimum Replica Count | 14
 Maximum Replica Count | 15
 Average Replica Count | 14.400000

Per-table replica distribution summary:
 Replica Skew |  Value
--------------+----------
 Minimum      | 1
 Maximum      | 1
 Average      | 1.000000
----

If more details are needed in addition to the replica distribution summary,
use the `--output_replica_distribution_details` flag. If added, the flag makes
the tool print per-table and per-tablet server replica distribution statistics
as well.

Use the `--report_only` flag to get a report on table- and cluster-wide
replica distribution statistics without starting any rebalancing activity.

The rebalancer can also be restricted to run on a subset of the tables by
supplying the `--tables` flag. Note that, when running on a subset of tables,
the tool will not attempt to balance the cluster as a whole.

The length of time rebalancing is run for can be controlled with the flag
`--max_run_time_sec`. By default, the rebalancer will run until the cluster is
balanced. To control the amount of resources devoted to rebalancing, modify
the flag `--max_moves_per_server`. See `kudu cluster rebalance --help` for more.

It's safe to stop the rebalancer tool at any time. When restarted, the
rebalancer will continue rebalancing the cluster.

The rebalancer requires all registered tablet servers to be up and running
to proceed with the rebalancing process. That's to avoid possible conflicts
and races with the automatic re-replication and keep replica placement optimal
for current configuration of the cluster. If a tablet server becomes
unavailable during the rebalancing session, the rebalancer will exit. As noted
above, it's safe to restart the rebalancer after resolving the issue with
unavailable tablet servers.

The rebalancing tool can rebalance Kudu clusters running older versions as well,
with some restrictions. Consult the following table for more information. In the
table, "RF" stands for "replication factor".

[[rebalancer_compatibility]]
.Kudu Rebalancing Tool Compatibility
[options="header"]
|===
| Version Range | Rebalances RF = 1 Tables? | Rebalances RF > 1 Tables?
| v < 1.4.0 | No | No
| 1.4.0 +<=+ v < 1.7.1 | No | Yes
| v >= 1.7.1 | Yes | Yes
|===

If the rebalancer is running against a cluster where rebalancing replication
factor one tables is not supported, it will rebalance all the other tables
and the cluster as if those singly-replicated tables did not exist.

[[rebalancer_tool_with_rack_awareness]]
=== Running the tablet rebalancing tool on a rack-aware cluster

As detailed in the <<rack_awareness, rack awareness>> section, it's possible
to use the `kudu cluster rebalance` tool to establish the placement policy on a
cluster. This might be necessary when the rack awareness feature is first
configured or when re-replication violated the placement policy. The rebalancing
tool breaks its work into three phases:

. The rack-aware rebalancer tries to establish the placement policy. Use the
  `--disable_policy_fixer` flag to skip this phase.
. The rebalancer tries to balance load by location, moving tablet replicas
  between locations in an attempt to spread tablet replicas among locations
  evenly. The load of a location is measured as the total number of replicas in
  the location divided by the number of tablet servers in the location. Use the
  `--disable_cross_location_rebalancing` flag to skip this phase.
. The rebalancer tries to balance the tablet replica distribution within each
  location, as if the location were a cluster on its own. Use the
  `--disable_intra_location_rebalancing` flag to skip this phase.

By using the `--report_only` flag, it's also possible to check if all tablets in
the cluster conform to the placement policy without attempting any replica
movement.

[[tablet_server_decommissioning]]
=== Decommissioning or Permanently Removing a Tablet Server From a Cluster

Kudu does not currently have an automated way to remove a tablet server from
a cluster permanently. Instead, use the following steps:

. Ensure the cluster is in good health using `ksck`. See <<ksck>>.
. If the tablet server contains any replicas of tables with replication factor
  1, these replicas must be manually moved off the tablet server prior to
  shutting it down. The `kudu tablet change_config move_replica` tool can be
  used for this.
. Shut down the tablet server. After
  `-follower_unavailable_considered_failed_sec`, which defaults to 5 minutes,
  Kudu will begin to re-replicate the tablet server's replicas to other servers.
  Wait until the process is finished. Progress can be monitored using `ksck`.
. Once all the copies are complete, `ksck` will continue to report the tablet
  server as unavailable. The cluster will otherwise operate fine without the
  tablet server. To completely remove it from the cluster so `ksck` shows the
  cluster as completely healthy, restart the masters. In the case of a single
  master, this will cause cluster downtime. With multi-master, restart the
  masters in sequence to avoid cluster downtime.

WARNING: Do not shut down multiple tablet servers at once. To remove multiple
tablet servers from the cluster, follow the above instructions for each tablet
server, ensuring that the previous tablet server is removed from the cluster and
`ksck` is healthy before shutting down the next.

[[using_cluster_names_in_kudu_tool]]
=== Using cluster names in the `kudu` command line tool

When using the `kudu` command line tool, it can be difficult to remember the
precise list of Kudu master RPC addresses needed to communicate with a cluster,
especially when managing multiple clusters. As an alternative, the command line
tool can identify clusters by name. To use this functionality:

. Create a new directory to store the Kudu configuration file.
. Export the path to this directory in the `KUDU_CONFIG` environment variable.
. Create a file called `kudurc` in the new directory.
. Populate `kudurc` as follows, substituting your own cluster names and RPC
  addresses:
+
----
clusters_info:
  cluster_name1:
    master_addresses: ip1:port1,ip2:port2,ip3:port3
  cluster_name2:
    master_addresses: ip4:port4
----
+
. When using the `kudu` command line tool, replace the list of Kudu master RPC
  addresses with the cluster name, prepended with the character `@`.

  Example::
+
----
$ sudo -u kudu kudu ksck @cluster_name1
----
+

NOTE: Cluster names may be used as input in any invocation of the `kudu` command
line tool that expects a list of Kudu master RPC addresses.

// Licensed to the Apache Software Foundation (ASF) under one
// or more contributor license agreements.  See the NOTICE file
// distributed with this work for additional information
// regarding copyright ownership.  The ASF licenses this file
// to you under the Apache License, Version 2.0 (the
// "License"); you may not use this file except in compliance
// with the License.  You may obtain a copy of the License at
//
//   http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing,
// software distributed under the License is distributed on an
// "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
// KIND, either express or implied.  See the License for the
// specific language governing permissions and limitations
// under the License.

[[administration]]
= Apache Kudu Administration

:author: Kudu Team
:imagesdir: ./images
:icons: font
:toc: left
:toclevels: 3
:doctype: book
:backend: html5
:sectlinks:
:experimental:

== Starting and Stopping Kudu Processes

NOTE: These instructions are relevant only when Kudu is installed using operating system packages
(e.g. `rpm` or `deb`).

include::installation.adoc[tags=start_stop]

== Kudu Web Interfaces

Kudu tablet servers and masters expose useful operational information on a built-in web interface,

=== Kudu Master Web Interface

Kudu master processes serve their web interface on port 8051. The interface exposes several pages
with information about the cluster state:

- A list of tablet servers, their host names, and the time of their last heartbeat.
- A list of tables, including schema and tablet location information for each.
- SQL code which you can paste into Impala Shell to add an existing table to Impala's list of known data sources.

=== Kudu Tablet Server Web Interface

Each tablet server serves a web interface on port 8050. The interface exposes information
about each tablet hosted on the server, its current state, and debugging information
about maintenance background operations.

=== Common Web Interface Pages

Both Kudu masters and tablet servers expose a common set of information via their web interfaces:

- HTTP access to server logs.
- an `/rpcz` endpoint which lists currently running RPCs via JSON.
- pages giving an overview and detailed information on the memory usage of different
  components of the process.
- information on the current set of configuration flags.
- information on the currently running threads and their resource consumption.
- a JSON endpoint exposing metrics about the server.
- information on the deployed version number of the daemon.

These interfaces are linked from the landing page of each daemon's web UI.

== Kudu Metrics

Kudu daemons expose a large number of metrics. Some metrics are associated with an entire
server process, whereas others are associated with a particular tablet replica.

=== Listing available metrics

The full set of available metrics for a Kudu server can be dumped via a special command
line flag:

[source,bash]
----
$ kudu-tserver --dump_metrics_json
$ kudu-master --dump_metrics_json
----

This will output a large JSON document. Each metric indicates its name, label, description,
units, and type. Because the output is JSON-formatted, this information can easily be
parsed and fed into other tooling which collects metrics from Kudu servers.

=== Collecting metrics via HTTP

Metrics can be collected from a server process via its HTTP interface by visiting
`/metrics`. The output of this page is JSON for easy parsing by monitoring services.
This endpoint accepts several `GET` parameters in its query string:

- `/metrics?metrics=<substring1>,<substring2>,...` - limits the returned metrics to those which contain
at least one of the provided substrings. The substrings also match entity names, so this
may be used to collect metrics for a specific tablet.

- `/metrics?include_schema=1` - includes metrics schema information such as unit, description,
and label in the JSON output. This information is typically elided to save space.

- `/metrics?compact=1` - eliminates unnecessary whitespace from the resulting JSON, which can decrease
bandwidth when fetching this page from a remote host.

- `/metrics?include_raw_histograms=1` - include the raw buckets and values for histogram metrics,
enabling accurate aggregation of percentile metrics over time and across hosts.

- `/metrics?level=info` - limits the returned metrics based on their severity level.
The levels are ordered and lower levels include the levels above them. If no level is specified,
`debug` is used to include all metrics. The valid values are:
   * `debug` - Metrics that are diagnostically helpful but generally not monitored
               during normal operation.
   * `info` - Generally useful metrics that operators always want to have available
              but may not be monitored under normal circumstances.
   * `warn` - Metrics which can often indicate operational oddities, which may need more investigation.

For example:

[source,bash]
----
$ curl -s 'http://example-ts:8050/metrics?include_schema=1&metrics=connections_accepted'
----

[source,json]
----
[
    {
        "type": "server",
        "id": "kudu.tabletserver",
        "attributes": {},
        "metrics": [
            {
                "name": "rpc_connections_accepted",
                "label": "RPC Connections Accepted",
                "type": "counter",
                "unit": "connections",
                "description": "Number of incoming TCP connections made to the RPC server",
                "value": 92
            }
        ]
    }
]
----

[source,bash]
----
$ curl -s 'http://example-ts:8050/metrics?metrics=log_append_latency'
----

[source,json]
----
[
    {
        "type": "tablet",
        "id": "c0ebf9fef1b847e2a83c7bd35c2056b1",
        "attributes": {
            "table_name": "lineitem",
            "partition": "hash buckets: (55), range: [(<start>), (<end>))",
            "table_id": ""
        },
        "metrics": [
            {
                "name": "log_append_latency",
                "total_count": 7498,
                "min": 4,
                "mean": 69.3649,
                "percentile_75": 29,
                "percentile_95": 38,
                "percentile_99": 45,
                "percentile_99_9": 95,
                "percentile_99_99": 167,
                "max": 367244,
                "total_sum": 520098
            }
        ]
    }
]
----

NOTE: All histograms and counters are measured since the server start time, and are not reset upon collection.

=== Diagnostics Logging

Kudu may be configured to dump various diagnostics information to a local log file.
The diagnostics log will be written to the same directory as the other Kudu log files, with a
similar naming format, substituting `diagnostics` instead of a log level like `INFO`.
After any diagnostics log file reaches 64MB uncompressed, the log will be rolled and
the previous file will be gzip-compressed.

Each line in the diagnostics log consists of the following components:

* A human-readable timestamp formatted in the same fashion as the other Kudu log files.
* The type of record. For example, a metrics record consists of the word `metrics`.
* A machine-readable timestamp, in microseconds since the Unix epoch.
* The record itself.

Currently, the only type of diagnostics record is a periodic dump of the server metrics.
Each record is encoded in compact JSON format, and the server attempts to elide any metrics
which have not changed since the previous record. In addition, counters which have never
been incremented are elided. Otherwise, the format of the JSON record is identical to the
format exposed by the HTTP endpoint above.

The frequency with which metrics are dumped to the diagnostics log is configured using the
`--metrics_log_interval_ms` flag. By default, Kudu logs metrics every 60 seconds.

[[rack_awareness]]
== Rack Awareness

As of version 1.9, Kudu supports a rack awareness feature. Kudu's ordinary
re-replication methods ensure the availability of the cluster in the event of a
single node failure. However, clusters can be vulnerable to correlated failures
of multiple nodes. For example, all of the physical hosts on the same rack in
a datacenter may become unavailable simultaneously if the top-of-rack switch
fails. Kudu's rack awareness feature provides protection from some kinds of
correlated failures, like the failure of a single rack in a datacenter.

The first element of Kudu's rack awareness feature is location assignment. When
a tablet server or client registers with a master, the master assigns it a
location. A location is a `/`-separated string that begins with a `/` and where
each `/`-separated component consists of characters from the set
`[a-zA-Z0-9_-.]`. For example, `/dc-0/rack-09` is a valid location, while
`rack-04` and `/rack=1` are not valid locations. Thus location strings resemble
absolute UNIX file paths where characters in directory and file names are
restricted to the set `[a-zA-Z0-9_-.]`. Presently, Kudu does not use the
hierarchical structure of locations, but it may in the future. Location
assignment is done by a user-provided command, whose path should be specified
using the `--location_mapping_cmd` master flag. The command should take a single
argument, the IP address or hostname of a tablet server or client, and return
the location for the tablet server or client. Make sure that all Kudu masters
are using the same location mapping command.

The second element of Kudu's rack awareness feature is the placement policy,
which is

  Do not place a majority of replicas of a tablet on tablet servers in the same location.

The leader master, when placing newly created replicas on tablet servers and
when re-replicating existing tablets, will attempt to place the replicas in a
way that complies with the placement policy. For example, in a cluster with five
tablet servers `A`, `B`, `C`, `D`, and `E`, with respective locations `/L0`,
`/L0`, `/L1`, `/L1`, `/L2`, to comply with the placement policy a new 3x
replicated tablet could have its replicas placed on `A`, `C`, and `E`, but not
on `A`, `B`, and `C`, because then the tablet would have 2/3 replicas in
location `/L0`. As another example, if a tablet has replicas on tablet servers
`A`, `C`, and `E`, and then `C` fails, the replacement replica must be placed on
`D` in order to comply with the placement policy.

In the case where it is impossible to place replicas in a way that complies with
the placement policy, Kudu will violate the policy and place a replica anyway.
For example, using the setup described in the previous paragraph, if a tablet
has replicas on tablet servers `A`, `C`, and `E`, and then `E` fails, Kudu will
re-replicate the tablet onto one of `B` or `D`, violating the placement policy,
rather than leaving the tablet under-replicated indefinitely. The
`kudu cluster rebalance` tool can reestablish the placement policy if it is
possible to do so. The `kudu cluster rebalance` tool can also be used to
establish the placement policy on a cluster if the cluster has just been
configured to use the rack awareness feature and existing replicas need to be
moved to comply with the placement policy. See
<<rebalancer_tool_with_rack_awareness,running the tablet rebalancing tool on a rack-aware cluster>>
for more information.

The third and final element of Kudu's rack awareness feature is the use of
client locations to find "nearby" servers. As mentioned, the masters also
assign a location to clients when they connect to the cluster. The client
(whether Java, {cpp}, or Python) uses its own location and the locations of
tablet servers in the cluster to prefer "nearby" replicas when scanning in
`CLOSEST_REPLICA` mode. Clients choose replicas to scan in the following order:

. Scan a replica on a tablet server on the same host, if there is one.
. Scan a replica on a tablet server in the same location, if there is one.
. Scan some replica.

For example, using the cluster setup described above, if a client on the same
host as tablet server `A` scans a tablet with replicas on tablet servers
`A`, `C`, and `E` in `CLOSEST_REPLICA` mode, it will choose to scan from the
replica on `A`, since the client and the replica on `A` are on the same host.
If the client scans a tablet with replicas on tablet servers `B`, `C`, and `E`,
it will choose to scan from the replica on `B`, since it is in the same
location as the client, `/L0`. If there are multiple replicas meeting a
criterion, one is chosen arbitrarily.

[[backup]]
== Backup and Restore

[[logical_backup]]
=== Logical backup and restore

As of Kudu 1.10.0, Kudu supports both full and incremental table backups via a
job implemented using Apache Spark. Additionally it supports restoring tables
from full and incremental backups via a restore job implemented using Apache Spark.

Given the Kudu backup and restore jobs use Apache Spark, ensure Apache Spark
is installed in your environment following the
link:https://spark.apache.org/docs/latest/#downloading[Spark documentation].
Additionally review the Apache Spark documentation for
link:https://spark.apache.org/docs/latest/submitting-applications.html[Submitting Applications].

==== Backing up tables

To backup one or more Kudu tables the `KuduBackup` Spark job can be used.
The first time the job is run for a table, a full backup will be run.
Additional runs will perform incremental backups which will only contain the
rows that have changed since the initial full backup. A new set of full
backups can be forced at anytime by passing the `--forceFull` flag to the
backup job.

The common flags that will be used when taking a backup are:

* `--rootPath`: The root path to output backup data. Accepts any Spark-compatible path.
** See <<backup_directory>> for the directory structure used in the `rootPath`.
* `--kuduMasterAddresses`: Comma-separated addresses of Kudu masters. Default: localhost
* `<table>...`:  A list of tables to be backed up.

Note: You can see the full list of Job options at anytime by passing the `--help` flag.

Below is a full example of a `KuduBackup` job execution which will backup the tables
`foo` and `bar` to the HDFS directory `kudu-backups`:

[source,bash]
----
spark-submit --class org.apache.kudu.backup.KuduBackup kudu-backup2_2.11-1.10.0.jar \
  --kuduMasterAddresses master1-host,master-2-host,master-3-host \
  --rootPath hdfs:///kudu-backups \
  foo bar
----

==== Restoring tables from Backups

To restore one or more Kudu tables, the `KuduRestore` Spark job can be used.
For each backed up table, the `KuduRestore` job will restore the full backup
and each associated incremental backup until the full table state is restored.
Restoring the full series of full and incremental backups is possible because
the backups are linked via the `from_ms` and `to_ms` fields in the backup metadata.
By default the restore job will create tables with the same name as the table
that was backed up. If you want to side-load the tables without affecting the
existing tables, you can pass `--tableSuffix` to append a suffix to each
restored table.

The common flags that will be used when restoring are:

* `--rootPath`: The root path to the backup data. Accepts any Spark-compatible path.
** See <<backup_directory>> for the directory structure used in the `rootPath`.
* `--kuduMasterAddresses`: Comma-separated addresses of Kudu masters. Default: `localhost`
* `--createTables`: If set to `true`, the restore process creates the tables.
  Set to `false` if the target tables already exist.  Default: `true`.
* `--tableSuffix`: If set, the suffix to add to the restored table names.
  Only used when `createTables` is `true`.
* `--timestampMs`: A UNIX timestamp in milliseconds that defines the latest time
  to use when selecting restore candidates. Default: `System.currentTimeMillis()`
* `<table>...`:  A list of tables to restore.

Note: You can see the full list of job options at anytime by passing the `--help` flag.

Below is a full example of a `KuduRestore` job execution which will restore the tables
`foo` and `bar` from the HDFS directory `kudu-backups`:

[source,bash]
----
spark-submit --class org.apache.kudu.backup.KuduRestore kudu-backup2_2.11-1.10.0.jar \
  --kuduMasterAddresses master1-host,master-2-host,master-3-host \
  --rootPath hdfs:///kudu-backups \
  foo bar
----

==== Backup tools

An additional `backup-tools` jar is available to provide some backup exploration and
garbage collection capabilities. This jar does not use Spark directly, but instead
only requires the Hadoop classpath to run.

Commands:

* `list`: Lists the backups in the rootPath.
* `clean`: Cleans up old backup data in the rootPath.

Note: You can see the full list of command options at anytime by passing the `--help` flag.

Below is an example execution which will print the command options:

[source,bash]
----
java -cp $(hadoop classpath):kudu-backup-tools-1.10.0.jar org.apache.kudu.backup.KuduBackupCLI --help
----

[[backup_directory]]
==== Backup Directory Structure

The backup directory structure in the `rootPath` is considered an internal detail
and could change in future versions of Kudu. Additionally the format and content
of the data and metadata files is meant for the backup and restore process only
and could change in future versions of Kudu. That said, understanding the structure
of the backup `rootPath` and how it is used can be useful when working with Kudu backups.

The backup directory structure in the `rootPath` is as follows:

[source,bash]
----
/<rootPath>/<tableId>-<tableName>/<backup-id>/
   .kudu-metadata.json
   part-*.<format>
----

* `rootPath`: Can be used to distinguish separate backup groups, jobs, or concerns.
* `tableId`: The unique internal ID of the table being backed up.
* `tableName`: The name of the table being backed up.
** Note: Table names are URL encoded to prevent pathing issues.
* `backup-id`: A way to uniquely identify/group the data for a single backup run.
* `.kudu-metadata.json`: Contains all of the metadata to support recreating the table,
  linking backups by time, and handling data format changes.
** Written last so that failed backups will not have a metadata file and will not be
  considered at restore time or backup linking time.
* `part-*.<format>`: The data files containing the tables data.
** Currently 1 part file per Kudu partition.
** Incremental backups contain an additional “RowAction” byte column at the end.
** Currently the only supported format/suffix is `parquet`

==== Troubleshooting

===== Generating a table list

To generate a list of tables to backup using the `kudu table list` tool along
with `grep` can be useful. Below is an example that will generate a list
of all tables that start with `my_db.`:

[source,bash]
----
kudu table list <master_addresses> | grep "^my_db\.*" | tr '\n' ' '
----

*Note*: This list could be saved as a part of you backup process to be used
at restore time as well.

===== Spark Tuning

In general the Spark jobs were designed to run with minimal tuning and configuration.
You can adjust the number of executors and resources to increase parallelism and performance
using Spark's
link:https://spark.apache.org/docs/latest/configuration.html[configuration options].

If your tables are super wide and your default memory allocation is fairly low, you
may see jobs fail. To resolve this increase the Spark executor memory. A conservative
rule of thumb is 1 GiB per 50 columns.

If your Spark resources drastically outscale the Kudu cluster you may want to limit the
number of concurrent tasks allowed to run on restore.

===== Backups on Kudu 1.9 and earlier

If your Kudu cluster is version 1.9 or earlier you can still use the backup tool
introduced in Kudu 1.10 to backup your tables. However, because the incremental
backup feature requires server side changes, you are limited to full backups only.
The process to backup tables is the same as documented above, but you will need to
download and use the kudu-backup jar from a Kudu 1.10+ release. Before running
the backup job you should adjust the configuration of your servers by setting
`--tablet_history_max_age_sec=604800`. This is the new default value in Kudu 1.10+
to ensure long running backup jobs can complete successfully and consistently.
Additionally, when running the backup you need to pass `--forceFull` to disable
the incremental backup feature. Now each time the job is run a full backup will be taken.

NOTE: Taking full backups on a regular basis is far more resource and time intensive
than incremental backups. It is recommended to upgrade to Kudu 1.10+ soon as possible.

[[physical_backup]]
=== Physical backups of an entire node

Kudu does not yet provide built-in physical backup and restore functionality.
However, it is possible to create a physical backup of a Kudu node (either
tablet server or master) and restore it later.

WARNING: The node to be backed up must be offline during the procedure, or else
the backed up (or restored) data will be inconsistent.

WARNING: Certain aspects of the Kudu node (such as its hostname) are embedded in
the on-disk data. As such, it's not yet possible to restore a physical backup of
a node onto another machine.

. Stop all Kudu processes in the cluster. This prevents the tablets on the
  backed up node from being rereplicated elsewhere unnecessarily.

. If creating a backup, make a copy of the WAL, metadata, and data directories
  on each node to be backed up. It is important that this copy preserve all file
  attributes as well as sparseness.

. If restoring from a backup, delete the existing WAL, metadata, and data
  directories, then restore the backup via move or copy. As with creating a
  backup, it is important that the restore preserve all file attributes and
  sparseness.

. Start all Kudu processes in the cluster.

== Common Kudu workflows

[[migrate_to_multi_master]]
=== Migrating to Multiple Kudu Masters

For high availability and to avoid a single point of failure, Kudu clusters should be created with
multiple masters. Many Kudu clusters were created with just a single master, either for simplicity
or because Kudu multi-master support was still experimental at the time. This workflow demonstrates
how to migrate to a multi-master configuration. It can also be used to migrate from two masters to
three, with straightforward modifications. Note that the number of masters must be odd.

WARNING: The workflow is unsafe for adding new masters to an existing configuration that already has
three or more masters. Do not use it for that purpose.

WARNING: An even number of masters doesn't provide any benefit over having one fewer masters.  This
guide should always be used for migrating to three masters.

WARNING: All of the command line steps below should be executed as the Kudu UNIX user. The example
commands assume the Kudu Unix user is `kudu`, which is typical.

WARNING: The workflow presupposes at least basic familiarity with Kudu configuration management. If
using vendor-specific tools the workflow also presupposes familiarity with
it and the vendor's instructions should be used instead as details may differ.

==== Prepare for the migration

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
  will be unavailable.

. Decide how many masters to use. The number of masters should be odd. Three or five node master
  configurations are recommended; they can tolerate one or two failures respectively.

. Perform the following preparatory steps for the existing master:
* Identify and record the directories where the master's write-ahead log (WAL) and data live. If
  using Kudu system packages, their default locations are /var/lib/kudu/master, but they may be
  customized via the `fs_wal_dir` and `fs_data_dirs` configuration parameters. The commands below
  assume that `fs_wal_dir` is /data/kudu/master/wal and `fs_data_dirs` is /data/kudu/master/data.
  Your configuration may differ. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the port the master is using for RPCs. The default port value is 7051, but it
  may have been customized using the `rpc_bind_addresses` configuration parameter.
* Identify the master's UUID. It can be fetched using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
master_data_dir:: existing master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
4aab798a69e94fab8d77069edff28ce0
----
+
* Optional: configure a DNS alias for the master. The alias could be a DNS cname (if the machine
  already has an A record in DNS), an A record (if the machine is only known by its IP address),
  or an alias in /etc/hosts. The alias should be an abstract representation of the master (e.g.
  `master-1`).
+
WARNING: Without DNS aliases it is not possible to recover from permanent master failures without
bringing the cluster down for maintenance, and as such, it is highly recommended.
+
. If you have Kudu tables that are accessed from Impala, you must update
the master addresses in the Apache Hive Metastore (HMS) database.
* If you set up the DNS aliases, run the following statement in `impala-shell`,
replacing `master-1`, `master-2`, and `master-3` with your actual aliases.
+
[source,sql]
----
ALTER TABLE table_name
SET TBLPROPERTIES
('kudu.master_addresses' = 'master-1,master-2,master-3');
----
+
* If you do not have DNS aliases set up, see Step #11 in the Performing
the migration section for updating HMS.
+
. Perform the following preparatory steps for each new master:
* Choose an unused machine in the cluster. The master generates very little load
  so it can be collocated with other data services or load-generating processes,
  though not with another Kudu master from the same configuration.
* Ensure Kudu is installed on the machine, either via system packages (in which case the `kudu` and
  `kudu-master` packages should be installed), or via some other means.
* Choose and record the directory where the master's data will live.
* Choose and record the port the master should use for RPCs.
* Optional: configure a DNS alias for the master (e.g. `master-2`, `master-3`, etc).

[[perform-the-migration]]
==== Perform the migration

. Stop all the Kudu processes in the entire cluster.

. Format the data directory on each new master machine, and record the generated UUID. Use the
  following command sequence:
+
[source,bash]
----
$ sudo -u kudu kudu fs format --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>]
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
+
master_data_dir:: new master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs format --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
f5624e05f40649b79a757629a69d061e
----

. If using CM, add the new Kudu master roles now, but do not start them.
* If using DNS aliases, override the empty value of the `Master Address` parameter for each role
  (including the existing master role) with that master's alias.
* Add the port number (separated by a colon) if using a non-default RPC port value.

. Rewrite the master's Raft configuration with the following command, executed on the existing
  master machine:
+
[source,bash]
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <all_masters>
----
+
master_data_dir:: existing master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
all_masters:: space-separated list of masters, both new and existing. Each entry in the list must be
  a string of the form `<uuid>:<hostname>:<port>`
uuid::: master's previously recorded UUID
hostname::: master's previously recorded hostname or alias
port::: master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 4aab798a69e94fab8d77069edff28ce0:master-1:7051 f5624e05f40649b79a757629a69d061e:master-2:7051 988d8ac6530f426cbe180be5ba52033d:master-3:7051
----

. Modify the value of the `master_addresses` configuration parameter for both existing master and new masters.
  The new value must be a comma-separated list of all of the masters. Each entry is a string of the form `<hostname>:<port>`
hostname:: master's previously recorded hostname or alias
port:: master's previously recorded RPC port number

. Start the existing master.

. Copy the master data to each new master with the following command, executed on each new master
  machine.
+
WARNING: If your Kudu cluster is secure, in addition to running as the Kudu UNIX user, you must
  authenticate as the Kudu service user prior to running this command.
+
[source,bash]
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <existing_master>
----
+
master_data_dir:: new master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
existing_master:: RPC address of the existing master and must be a string of the form
`<hostname>:<port>`
hostname::: existing master's previously recorded hostname or alias
port::: existing master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 master-1:7051
----

. Start all of the new masters.
+
WARNING: Skip the next step if using CM.
+
. Modify the value of the `tserver_master_addrs` configuration parameter for each tablet server.
  The new value must be a comma-separated list of masters where each entry is a string of the form
  `<hostname>:<port>`
hostname:: master's previously recorded hostname or alias
port:: master's previously recorded RPC port number

. Start all of the tablet servers.
. If you have Kudu tables that are accessed from Impala and you didn't set up
DNS aliases, update the HMS database manually in the underlying database that
provides the storage for HMS.
* The following is an example SQL statement you should run in the HMS database:
+
[source,sql]
----
UPDATE TABLE_PARAMS
SET PARAM_VALUE =
  'master-1.example.com,master-2.example.com,master-3.example.com'
WHERE PARAM_KEY = 'kudu.master_addresses' AND PARAM_VALUE = 'old-master';
----
+
* In `impala-shell`, run:
+
[source,bash]
----
INVALIDATE METADATA;
----

==== Verify the migration was successful

To verify that all masters are working properly, perform the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Recovering from a dead Kudu Master in a Multi-Master Deployment

Kudu multi-master deployments function normally in the event of a master loss. However, it is
important to replace the dead master; otherwise a second failure may lead to a loss of availability,
depending on the number of available masters. This workflow describes how to replace the dead
master.

Due to https://issues.apache.org/jira/browse/KUDU-1620[KUDU-1620], it is not possible to perform
this workflow without also restarting the live masters. As such, the workflow requires a
maintenance window, albeit a potentially brief one if the cluster was set up with DNS aliases.

WARNING: Kudu does not yet support live Raft configuration changes for masters. As such, it is only
possible to replace a master if the deployment was created with DNS aliases or if every node in the
cluster is first shut down. See the <<migrate_to_multi_master,multi-master migration workflow>> for
more details on deploying with DNS aliases.

WARNING: The workflow presupposes at least basic familiarity with Kudu configuration management. If
using vendor-specific tools the workflow also presupposes familiarity with
it and the vendor's instructions should be used instead as details may differ.

WARNING: All of the command line steps below should be executed as the Kudu UNIX user, typically
`kudu`.

==== Prepare for the recovery

. If the deployment was configured without DNS aliases perform the following steps:
* Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
  will be unavailable.
* Shut down all Kudu tablet server processes in the cluster.

. Ensure that the dead master is well and truly dead. Take whatever steps needed to prevent it from
  accidentally restarting; this can be quite dangerous for the cluster post-recovery.

. Choose one of the remaining live masters to serve as a basis for recovery. The rest of this
  workflow will refer to this master as the "reference" master.

. Choose an unused machine in the cluster where the new master will live. The master generates very
  little load so it can be collocated with other data services or load-generating processes, though
  not with another Kudu master from the same configuration.
  The rest of this workflow will refer to this master as the "replacement" master.

. Perform the following preparatory steps for the replacement master:
* Ensure Kudu is installed on the machine, either via system packages (in which case the `kudu` and
  `kudu-master` packages should be installed), or via some other means.
* Choose and record the directory where the master's data will live.

. Perform the following preparatory steps for each live master:
* Identify and record the directory where the master's data lives. If using Kudu system packages,
  the default value is /var/lib/kudu/master, but it may be customized via the `fs_wal_dir` and
  `fs_data_dirs` configuration parameters. Please note if you've set `fs_data_dirs` to some directories
  other than the value of `fs_wal_dir`, it should be explicitly included in every command below where
  `fs_wal_dir` is also included. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the master's UUID. It can be fetched using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 2>/dev/null
----
master_data_dir:: live master's previously recorded data directory
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs dump uuid --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 2>/dev/null
80a82c4b8a9f4c819bab744927ad765c
----
+
. Perform the following preparatory steps for the reference master:
* Identify and record the directory where the master's data lives. If using Kudu system packages,
  the default value is /var/lib/kudu/master, but it may be customized via the `fs_wal_dir` and
  `fs_data_dirs` configuration parameters. Please note if you've set `fs_data_dirs` to some directories
  other than the value of `fs_wal_dir`, it should be explicitly included in every command below where
  `fs_wal_dir` is also included. For more information on configuring these directories, see the
  link:configuration.html#directory_configuration[Kudu Configuration docs].
* Identify and record the UUIDs of every master in the cluster, using the following command:
+
[source,bash]
----
$ sudo -u kudu kudu local_replica cmeta print_replica_uuids --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> 2>/dev/null
----
master_data_dir:: reference master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica cmeta print_replica_uuids --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 2>/dev/null
80a82c4b8a9f4c819bab744927ad765c 2a73eeee5d47413981d9a1c637cce170 1c3f3094256347528d02ec107466aef3
----
+
. Using the two previously-recorded lists of UUIDs (one for all live masters and one for all
  masters), determine and record (by process of elimination) the UUID of the dead master.

==== Perform the recovery

. Format the data directory on the replacement master machine using the previously recorded
  UUID of the dead master. Use the following command sequence:
+
[source,bash]
----
$ sudo -u kudu kudu fs format --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] --uuid=<uuid>
----
+
master_data_dir:: replacement master's previously recorded data directory
uuid:: dead master's previously recorded UUID
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu fs format --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data --uuid=80a82c4b8a9f4c819bab744927ad765c
----
+
. Copy the master data to the replacement master with the following command:
+
WARNING: If your Kudu cluster is secure, in addition to running as the Kudu UNIX user, you must
  authenticate as the Kudu service user prior to running this command.
+
[source,bash]
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] <tablet_id> <reference_master>
----
+
master_data_dir:: replacement master's previously recorded data directory
tablet_id:: must be the string `00000000000000000000000000000000`
reference_master:: RPC address of the reference master and must be a string of the form
`<hostname>:<port>`
hostname::: reference master's previously recorded hostname or alias
port::: reference master's previously recorded RPC port number
+
[source,bash]
Example::
+
----
$ sudo -u kudu kudu local_replica copy_from_remote --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 master-2:7051
----
+
. If using CM, add the replacement Kudu master role now, but do not start it.
* Override the empty value of the `Master Address` parameter for the new role with the replacement
  master's alias.
* Add the port number (separated by a colon) if using a non-default RPC port value.

. If the cluster was set up with DNS aliases, reconfigure the DNS alias for the dead master to point
  at the replacement master.

. If the cluster was set up without DNS aliases, perform the following steps:
* Stop the remaining live masters.
* Rewrite the Raft configurations on these masters to include the replacement master. See Step 4 of
  <<perform-the-migration, Perform the Migration>> for more details.

. Start the replacement master.

. Restart the remaining masters in the new multi-master deployment. While the masters are shut down,
  there will be an availability outage, but it should last only as long as it takes for the masters
  to come back up.

Congratulations, the dead master has been replaced! To verify that all masters are working properly,
consider performing the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Removing Kudu Masters from a Multi-Master Deployment

In the event that a multi-master deployment has been overallocated nodes, the following steps should
be taken to remove the unwanted masters.

WARNING: In planning the new multi-master configuration, keep in mind that the number of masters
should be odd and that three or five node master configurations are recommended.

WARNING: Dropping the number of masters below the number of masters currently needed for a Raft
majority can incur data loss. To mitigate this, ensure that the leader master is not removed during
this process.

==== Prepare for the removal

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
will be unavailable.

. Identify the UUID and RPC address current leader of the multi-master deployment by visiting the
`/masters` page of any master's web UI. This master must not be removed during this process; its
removal may result in severe data loss.

. Stop all the Kudu processes in the entire cluster.

. If using CM, remove the unwanted Kudu master.

==== Perform the removal

. Rewrite the Raft configuration on the remaining masters to include only the remaining masters. See
Step 4 of <<perform-the-migration,Perform the Migration>> for more details.

. Remove the data directories and WAL directory on the unwanted masters. This is a precaution to
ensure that they cannot start up again and interfere with the new multi-master deployment.

. Modify the value of the `master_addresses` configuration parameter for the masters of the new
multi-master deployment. If migrating to a single-master deployment, the `master_addresses` flag
should be omitted entirely.

. Start all of the masters that were not removed.

. Modify the value of the `tserver_master_addrs` configuration parameter for the tablet servers to
remove any unwanted masters.

. Start all of the tablet servers.

==== Verify the migration was successful

To verify that all masters are working properly, perform the following sanity checks:

* Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

* Run a Kudu system check (ksck) on the cluster using the `kudu` command line
  tool. See <<ksck>> for more details.

=== Changing the master hostnames

To prevent long maintenance windows when replacing dead masters, DNS aliases should be used. If the
cluster was set up without aliases, changing the host names can be done by following the below
steps.

==== Prepare for the hostname change

. Establish a maintenance window (one hour should be sufficient). During this time the Kudu cluster
will be unavailable.

. Note the UUID and RPC address of every master by visiting the `/masters` page of any master's web
UI.

. Stop all the Kudu processes in the entire cluster.

. Set up the new hostnames to point to the masters and verify all servers and clients properly
resolve them.

==== Perform the hostname change

. Rewrite each master’s Raft configuration with the following command, executed on all master hosts:
----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=<master_wal_dir> [--fs_data_dirs=<master_data_dir>] 00000000000000000000000000000000 <all_masters>
----

For example:

----
$ sudo -u kudu kudu local_replica cmeta rewrite_raft_config --fs_wal_dir=/data/kudu/master/wal --fs_data_dirs=/data/kudu/master/data 00000000000000000000000000000000 4aab798a69e94fab8d77069edff28ce0:new-master-name-1:7051 f5624e05f40649b79a757629a69d061e:new-master-name-2:7051 988d8ac6530f426cbe180be5ba52033d:new-master-name-3:7051
----

. Change the masters' gflagfile so the `master_addresses` parameter reflects the new hostnames.

. Change the `tserver_master_addrs` parameter in the tablet servers' gflagfiles to the new
hostnames.

. Start up the masters.

. To verify that all masters are working properly, perform the following sanity checks:

.. Using a browser, visit each master's web UI. Look at the /masters page. All of the masters should
  be listed there with one master in the LEADER role and the others in the FOLLOWER role. The
  contents of /masters on each master should be the same.

.. Run the below command to verify all masters are up and listening. The UUIDs
should be the same and belong to the same master as before the hostname change:
+
----
$ sudo -u kudu kudu master list new-master-name-1:7051,new-master-name-2:7051,new-master-name-3:7051
----

. Start all of the tablet servers.

. Run a Kudu system check (ksck) on the cluster using the `kudu` command line
tool. See <<ksck>> for more details. After startup, some tablets may be
unavailable as it takes some time to initialize all of them.

. If you have Kudu tables that are accessed from Impala, update the HMS
database manually in the underlying database that provides the storage for HMS.

.. The following is an example SQL statement you should run in the HMS database:
+
[source,sql]
----
UPDATE TABLE_PARAMS
SET PARAM_VALUE =
  'new-master-name-1:7051,new-master-name-2:7051,new-master-name-3:7051'
WHERE PARAM_KEY = 'kudu.master_addresses'
AND PARAM_VALUE = 'master-1:7051,master-2:7051,master-3:7051';
----
+
.. In `impala-shell`, run:
+
[source,bash]
----
INVALIDATE METADATA;
----
+
.. Verify updating the metadata worked by running a simple `SELECT` query on a
Kudu-backed Impala table.

[[adding_tablet_servers]]
=== Best Practices When Adding New Tablet Servers

A common workflow when administering a Kudu cluster is adding additional tablet
server instances, in an effort to increase storage capacity, decrease load or
utilization on individual hosts, increase compute power, etc.

By default, any newly added tablet servers will not be utilized immediately
after their addition to the cluster. Instead, newly added tablet servers will
only be utilized when new tablets are created or when existing tablets need to
be replicated, which can lead to imbalanced nodes. It's recommended to run
the rebalancer CLI tool just after adding a new tablet server into the cluster,
as described in the enumerated steps below.

Avoid placing multiple tablet servers on a single node. Doing so
nullifies the point of increasing the overall storage capacity of a Kudu
cluster and increases the likelihood of tablet unavailability when a single
node fails (the latter drawback is not applicable if the cluster is properly
configured to use the
link:https://kudu.apache.org/docs/administration.html#rack_awareness[location
awareness] feature).

To add additional tablet servers to an existing cluster, the
following steps can be taken to ensure tablet replicas are uniformly
distributed across the cluster:

1. Ensure that Kudu is installed on the new machines being added to the
cluster, and that the new instances have been
link:https://kudu.apache.org/docs/configuration.html#_configuring_tablet_servers[
correctly configured] to point to the pre-existing cluster. Then, start up
the new tablet server instances.
2. Verify that the new instances check in with the Kudu Master(s)
successfully. A quick method for verifying they've successfully checked in
with the existing Master instances is to view the Kudu Master WebUI,
specifically the `/tablet-servers` section, and validate that the newly
added instances are registered, and heartbeating.
3. Once the tablet server(s) are successfully online and healthy, follow
the steps to run the
link:https://kudu.apache.org/docs/administration.html#rebalancer_tool[
rebalancing tool] which will spread existing tablet replicas to the newly added
tablet servers.
4. After the rebalancer tool has completed, or even during its execution,
you can check on the health of the cluster using the `ksck` command-line utility
(see <<ksck>> for more details).

[[ksck]]
=== Checking Cluster Health with `ksck`

The `kudu` CLI includes a tool named `ksck` that can be used for gathering
information about the state of a Kudu cluster, including checking its health.
`ksck` will identify issues such as under-replicated tablets, unreachable
tablet servers, or tablets without a leader.

`ksck` should be run from the command line as the Kudu admin user, and requires
the full list of master addresses to be specified:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck master-01.example.com,master-02.example.com,master-03.example.com
----

To see a full list of the options available with `ksck`, use the `--help` flag.
If the cluster is healthy, `ksck` will print information about the cluster, a
success message, and return a zero (success) exit status.

----
Master Summary
               UUID               |       Address         | Status
----------------------------------+-----------------------+---------
 a811c07b99394df799e6650e7310f282 | master-01.example.com | HEALTHY
 b579355eeeea446e998606bcb7e87844 | master-02.example.com | HEALTHY
 cfdcc8592711485fad32ec4eea4fbfcd | master-02.example.com | HEALTHY

Tablet Server Summary
               UUID               |        Address         | Status
----------------------------------+------------------------+---------
 a598f75345834133a39c6e51163245db | tserver-01.example.com | HEALTHY
 e05ca6b6573b4e1f9a518157c0c0c637 | tserver-02.example.com | HEALTHY
 e7e53a91fe704296b3a59ad304e7444a | tserver-03.example.com | HEALTHY

Version Summary
 Version |      Servers
---------+-------------------------
  1.7.1  | all 6 server(s) checked

Summary by table
   Name   | RF | Status  | Total Tablets | Healthy | Recovering | Under-replicated | Unavailable
----------+----+---------+---------------+---------+------------+------------------+-------------
 my_table | 3  | HEALTHY | 8             | 8       | 0          | 0                | 0

                | Total Count
----------------+-------------
 Masters        | 3
 Tablet Servers | 3
 Tables         | 1
 Tablets        | 8
 Replicas       | 24
OK
----

If the cluster is unhealthy, for instance if a tablet server process has
stopped, `ksck` will report the issue(s) and return a non-zero exit status, as
shown in the abbreviated snippet of `ksck` output below:

----
Tablet Server Summary
               UUID               |        Address         |   Status
----------------------------------+------------------------+-------------
 a598f75345834133a39c6e51163245db | tserver-01.example.com | HEALTHY
 e05ca6b6573b4e1f9a518157c0c0c637 | tserver-02.example.com | HEALTHY
 e7e53a91fe704296b3a59ad304e7444a | tserver-03.example.com | UNAVAILABLE
Error from 127.0.0.1:7150: Network error: could not get status from server: Client connection negotiation failed: client connection to 127.0.0.1:7150: connect: Connection refused (error 61) (UNAVAILABLE)

... (full output elided)

==================
Errors:
==================
Network error: error fetching info from tablet servers: failed to gather info for all tablet servers: 1 of 3 had errors
Corruption: table consistency check error: 1 out of 1 table(s) are not healthy

FAILED
Runtime error: ksck discovered errors
----

To verify data integrity, the optional `--checksum_scan` flag can be set, which
will ensure the cluster has consistent data by scanning each tablet replica and
comparing results. The `--tables` or `--tablets` flags can be used to limit the
scope of the checksum scan to specific tables or tablets, respectively. For
example, checking data integrity on the `my_table` table can be done with the
following command:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck --checksum_scan --tables my_table master-01.example.com,master-02.example.com,master-03.example.com
----

By default, `ksck` will attempt to use a snapshot scan of the table, so the
checksum scan can be done while writes continue.

Finally, `ksck` also supports output in JSON format using the `--ksck_format`
flag. JSON output contains the same information as the plain text output, but
in a format that can be used by other tools. See `kudu cluster ksck --help` for
more information.

[[change_dir_config]]
=== Changing Directory Configurations

For higher read parallelism and larger volumes of storage per server, users may
want to configure servers to store data in multiple directories on different
devices. Once a server is started, users must go through the following steps
to change the directory configuration.

Users can add or remove data directories to an existing master or tablet server
via the `kudu fs update_dirs` tool. Data is striped across data directories,
and when a new data directory is added, new data will be striped across the
union of the old and new directories.

NOTE: Unless the `--force` flag is specified, Kudu will not allow for the
removal of a directory across which tablets are configured to spread data. If
`--force` is specified, all tablets configured to use that directory will fail
upon starting up and be replicated elsewhere.

NOTE: If the link:configuration.html#directory_configuration[metadata
directory] overlaps with a data directory, as was the default prior to Kudu
1.7, or if a non-default metadata directory is configured, the
`--fs_metadata_dir` configuration must be specified when running the `kudu fs
update_dirs` tool.

NOTE: Only new tablet replicas (i.e. brand new tablets' replicas and replicas
that are copied to the server for high availability) will use the new
directory. Existing tablet replicas on the server will not be rebalanced across
the new directory.

WARNING: All of the command line steps below should be executed as the Kudu
UNIX user, typically `kudu`.

. The tool can only run while the server is offline, so establish a maintenance
  window to update the server. The tool itself runs quickly, so this offline
  window should be brief, and as such, only the server to update needs to be
  offline. However, if the server is offline for too long (see the
  `follower_unavailable_considered_failed_sec` flag), the tablet replicas on it
  may be evicted from their Raft groups. To avoid this, it may be desirable to
  bring the entire cluster offline while performing the update.

. Run the tool with the desired directory configuration flags. For example, if a
  cluster was set up with `--fs_wal_dir=/wals`, `--fs_metadata_dir=/meta`, and
  `--fs_data_dirs=/data/1,/data/2,/data/3`, and `/data/3` is to be removed (e.g.
  due to a disk error), run the command:

+
[source,bash]
----
$ sudo -u kudu kudu fs update_dirs --force --fs_wal_dir=/wals --fs_metadata_dir=/meta --fs_data_dirs=/data/1,/data/2
----
+

. Modify the values of the `fs_data_dirs` flags for the updated sever. If using
  CM, make sure to only update the configurations of the updated server, rather
  than of the entire Kudu service.

. Once complete, the server process can be started. When Kudu is installed using
  system packages, `service` is typically used:

+
[source,bash]
----
$ sudo service kudu-tserver start
----
+

[[disk_failure_recovery]]
=== Recovering from Disk Failure
Kudu nodes can only survive failures of disks on which certain Kudu directories
are mounted. For more information about the different Kudu directory types, see
the section on link:configuration.html#directory_configuration[Kudu Directory
Configurations]. Below describes this behavior across different Apache Kudu
releases.

[[disk_failure_behavior]]
.Kudu Disk Failure Behavior
[cols="<,<,<",options="header"]
|===
| Node Type | Kudu Directory Type | Kudu Releases that Crash on Disk Failure
| Master | All | All
| Tablet Server | Directory containing WALs | All
| Tablet Server | Directory containing tablet metadata | All
| Tablet Server | Directory containing data blocks only | Pre-1.6.0
|===

When a disk failure occurs that does not lead to a crash, Kudu will stop using
the affected directory, shut down tablets with blocks on the affected
directories, and automatically re-replicate the affected tablets to other
tablet servers. The affected server will remain alive and print messages to the
log indicating the disk failure, for example:

----
E1205 19:06:24.163748 27115 data_dirs.cc:1011] Directory /data/8/kudu/data marked as failed
E1205 19:06:30.324795 27064 log_block_manager.cc:1822] Not using report from /data/8/kudu/data: IO error: Could not open container 0a6283cab82d4e75848f49772d2638fe: /data/8/kudu/data/0a6283cab82d4e75848f49772d2638fe.metadata: Read-only file system (error 30)
E1205 19:06:33.564638 27220 ts_tablet_manager.cc:946] T 4957808439314e0d97795c1394348d80 P 70f7ee61ead54b1885d819f354eb3405: aborting tablet bootstrap: tablet has data in a failed directory
----

While in this state, the affected node will avoid using the failed disk,
leading to lower storage volume and reduced read parallelism. The administrator
should schedule a brief window to <<change_dir_config,update the node's
directory configuration>> to exclude the failed disk.

When the disk is repaired, remounted, and ready to be reused by Kudu, take the
following steps:

. Make sure that the Kudu portion of the disk is completely empty.
. Stop the tablet server.
. Run the `update_dirs` tool. For example, to add `/data/3`, run the following:
+
[source,bash]
----
$ sudo -u kudu kudu fs update_dirs --force --fs_wal_dir=/wals --fs_data_dirs=/data/1,/data/2,/data/3
----
+

. Start the tablet server.
. Run `ksck` to verify cluster health.
+
[source,bash]
----
sudo -u kudu kudu cluster ksck master-01.example.com
----
+

Note that existing tablets will not stripe to the restored disk, but any new tablets
will stripe to the restored disk.

[[disk_full_recovery]]
=== Recovering from Full Disks
By default, Kudu reserves a small amount of space (1% by capacity) in its
directories; Kudu considers a disk full if there is less free space available
than the reservation. Kudu nodes can only tolerate running out of space on disks
on which certain Kudu directories are mounted. For more information about the
different Kudu directory types, see
link:configuration.html#directory_configuration[Kudu Directory Configurations].
The table below describes this behavior for each type of directory. The behavior
is uniform across masters and tablet servers.
[[disk_full_behavior]]
.Kudu Full Disk Behavior
[options="header"]
|===
| Kudu Directory Type | Crash on a Full Disk?
| Directory containing WALs | Yes
| Directory containing tablet metadata | Yes
| Directory containing data blocks only | No (see below)
|===

Prior to Kudu 1.7.0, Kudu stripes tablet data across all directories, and will
avoid writing data to full directories. Kudu will crash if all data directories
are full.

In 1.7.0 and later, new tablets are assigned a disk group consisting of
-fs_target_data_dirs_per_tablet data dirs (default 3). If Kudu is not configured
with enough data directories for a full disk group, all data directories are
used. When a data directory is full, Kudu will stop writing new data to it and
each tablet that uses that data directory will write new data to other data
directories within its group. If all data directories for a tablet are full, Kudu
will crash. Periodically, Kudu will check if full data directories are still
full, and will resume writing to those data directories if space has become
available.

If Kudu does crash because its data directories are full, freeing space on the
full directories will allow the affected daemon to restart and resume writing.
Note that it may be possible for Kudu to free some space by running

[source,bash]
----
$ sudo -u kudu kudu fs check --repair
----

but this command may also fail if there is too little space left.

It's also possible to allocate additional data directories to Kudu in order to
increase the overall amount of storage available. See the documentation on
<<change_dir_config,updating a node's directory configuration>> for more
information. Note that existing tablets will not use new data directories, so
adding a new data directory does not resolve issues with full disks.

[[tablet_majority_down_recovery]]
=== Bringing a tablet that has lost a majority of replicas back online

If a tablet has permanently lost a majority of its replicas, it cannot recover
automatically and operator intervention is required. If the tablet servers
hosting a majority of the replicas are down (i.e. ones reported as "TS
unavailable" by ksck), they should be recovered instead if possible.

WARNING: The steps below may cause recent edits to the tablet to be lost,
potentially resulting in permanent data loss. Only attempt the procedure below
if it is impossible to bring a majority back online.

Suppose a tablet has lost a majority of its replicas. The first step in
diagnosing and fixing the problem is to examine the tablet's state using ksck:

[source,bash]
----
$ sudo -u kudu kudu cluster ksck --tablets=e822cab6c0584bc0858219d1539a17e6 master-00,master-01,master-02
Connected to the Master
Fetched info from all 5 Tablet Servers
Tablet e822cab6c0584bc0858219d1539a17e6 of table 'my_table' is unavailable: 2 replica(s) not RUNNING
  638a20403e3e4ae3b55d4d07d920e6de (tserver-00:7150): RUNNING
  9a56fa85a38a4edc99c6229cba68aeaa (tserver-01:7150): bad state
    State:       FAILED
    Data state:  TABLET_DATA_READY
    Last status: <failure message>
  c311fef7708a4cf9bb11a3e4cbcaab8c (tserver-02:7150): bad state
    State:       FAILED
    Data state:  TABLET_DATA_READY
    Last status: <failure message>
----

This output shows that, for tablet `e822cab6c0584bc0858219d1539a17e6`, the two
tablet replicas on `tserver-01` and `tserver-02` failed. The remaining replica
is not the leader, so the leader replica failed as well. This means the chance
of data loss is higher since the remaining replica on `tserver-00` may have
been lagging. In general, to accept the potential data loss and restore the
tablet from the remaining replicas, divide the tablet replicas into two groups:

1. Healthy replicas: Those in `RUNNING` state as reported by ksck
2. Unhealthy replicas

For example, in the above ksck output, the replica on tablet server `tserver-00`
is healthy, while the replicas on `tserver-01` and `tserver-02` are unhealthy.
On each tablet server with a healthy replica, alter the consensus configuration
to remove unhealthy replicas. In the typical case of 1 out of 3 surviving
replicas, there will be only one healthy replica, so the consensus configuration
will be rewritten to include only the healthy replica.

[source,bash]
----
$ sudo -u kudu kudu remote_replica unsafe_change_config tserver-00:7150 <tablet-id> <tserver-00-uuid>
----

where `<tablet-id>` is `e822cab6c0584bc0858219d1539a17e6` and
`<tserver-00-uuid>` is the uuid of `tserver-00`,
`638a20403e3e4ae3b55d4d07d920e6de`.

Once the healthy replicas' consensus configurations have been forced to exclude
the unhealthy replicas, the healthy replicas will be able to elect a leader.
The tablet will become available for writes, though it will still be
under-replicated. Shortly after the tablet becomes available, the leader master
will notice that it is under-replicated, and will cause the tablet to
re-replicate until the proper replication factor is restored. The unhealthy
replicas will be tombstoned by the master, causing their remaining data to be
deleted.

[[rebuilding_kudu]]
=== Rebuilding a Kudu Filesystem Layout

In the event that critical files are lost, i.e. WALs or tablet-specific
metadata, all Kudu directories on the server must be deleted and rebuilt to
ensure correctness. Doing so will destroy the copy of the data for each tablet
replica hosted on the local server. Kudu will automatically re-replicate tablet
replicas removed in this way, provided the replication factor is at least three
and all other servers are online and healthy.

NOTE: These steps use a tablet server as an example, but the steps are the same
for Kudu master servers.

WARNING: If multiple nodes need their FS layouts rebuilt, wait until all
replicas previously hosted on each node have finished automatically
re-replicating elsewhere before continuing. Failure to do so can result in
permanent data loss.

WARNING: Before proceeding, ensure the contents of the directories are backed
up, either as a copy or in the form of other tablet replicas.

. The first step to rebuilding a server with a new directory configuration is
  emptying all of the server's existing directories. For example, if a tablet
  server is configured with `--fs_wal_dir=/data/0/kudu-tserver-wal`,
  `--fs_metadata_dir=/data/0/kudu-tserver-meta`, and
  `--fs_data_dirs=/data/1/kudu-tserver,/data/2/kudu-tserver`, the following
  commands will remove the WAL directory's and data directories' contents:

+
[source,bash]
----
# Note: this will delete all of the data from the local tablet server.
$ rm -rf /data/0/kudu-tserver-wal/* /data/0/kudu-tserver-meta/* /data/1/kudu-tserver/* /data/2/kudu-tserver/*
----
+

. If using CM, update the configurations for the rebuilt server to include only
  the desired directories. Make sure to only update the configurations of servers
  to which changes were applied, rather than of the entire Kudu service.

. After directories are deleted, the server process can be started with the new
  directory configuration. The appropriate sub-directories will be created by
  Kudu upon starting up.

[[minimizing_cluster_disruption_during_temporary_single_ts_downtime]]
=== Minimizing cluster disruption during temporary planned downtime of a single tablet server

If a single tablet server is brought down temporarily in a healthy cluster, all
tablets will remain available and clients will function as normal, after
potential short delays due to leader elections. However, if the downtime lasts
for more than `--follower_unavailable_considered_failed_sec` (default 300)
seconds, the tablet replicas on the down tablet server will be replaced by new
replicas on available tablet servers. This will cause stress on the cluster
as tablets re-replicate and, if the downtime lasts long enough, significant
reduction in the number of replicas on the down tablet server. This may require
the rebalancer to fix.

To work around this, increase `--follower_unavailable_considered_failed_sec` on
all tablet servers so the amount of time before re-replication will start is
longer than the expected downtime of the tablet server, including the time it
takes the tablet server to restart and bootstrap its tablet replicas. To do
this, run the following command for each tablet server:

[source,bash]
----
$ sudo -u kudu kudu tserver set_flag <tserver_address> follower_unavailable_considered_failed_sec <num_seconds>
----

where `<num_seconds>` is the number of seconds that will encompass the downtime.
Once the downtime is finished, reset the flag to its original value.

----
$ sudo -u kudu kudu tserver set_flag <tserver_address> follower_unavailable_considered_failed_sec <original_value>
----

WARNING: Be sure to reset the value of `--follower_unavailable_considered_failed_sec`
to its original value.

NOTE: On Kudu versions prior to 1.8, the `--force` flag must be provided in the above
commands.

[[rebalancer_tool]]
=== Running the tablet rebalancing tool

The `kudu` CLI contains a rebalancing tool that can be used to rebalance
tablet replicas among tablet servers. For each table, the tool attempts to
balance the number of replicas per tablet server. It will also, without
unbalancing any table, attempt to even out the number of replicas per tablet
server across the cluster as a whole. The rebalancing tool should be run as the
Kudu admin user, specifying all master addresses:

[source,bash]
----
sudo -u kudu kudu cluster rebalance master-01.example.com,master-02.example.com,master-03.example.com
----

When run, the rebalancer will report on the initial tablet replica distribution
in the cluster, log the replicas it moves, and print a final summary of the
distribution when it terminates:

----
Per-server replica distribution summary:
       Statistic       |   Value
-----------------------+-----------
 Minimum Replica Count | 0
 Maximum Replica Count | 24
 Average Replica Count | 14.400000

Per-table replica distribution summary:
 Replica Skew |  Value
--------------+----------
 Minimum      | 8
 Maximum      | 8
 Average      | 8.000000

I0613 14:18:49.905897 3002065792 rebalancer.cc:779] tablet e7ee9ade95b342a7a94649b7862b345d: 206a51de1486402bbb214b5ce97a633c -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move scheduled
I0613 14:18:49.917578 3002065792 rebalancer.cc:779] tablet 5f03944529f44626a0d6ec8b1edc566e: 6e64c4165b864cbab0e67ccd82091d60 -> ba8c22ab030346b4baa289d6d11d0809 move scheduled
I0613 14:18:49.928683 3002065792 rebalancer.cc:779] tablet 9373fee3bfe74cec9054737371a3b15d: fab382adf72c480984c6cc868fdd5f0e -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move scheduled

... (full output elided)

I0613 14:19:01.162802 3002065792 rebalancer.cc:842] tablet f4c046f18b174cc2974c65ac0bf52767: 206a51de1486402bbb214b5ce97a633c -> 3b4d9266ac8c45ff9a5d4d7c3e1cb326 move completed: OK

rebalancing is complete: cluster is balanced (moved 28 replicas)
Per-server replica distribution summary:
       Statistic       |   Value
-----------------------+-----------
 Minimum Replica Count | 14
 Maximum Replica Count | 15
 Average Replica Count | 14.400000

Per-table replica distribution summary:
 Replica Skew |  Value
--------------+----------
 Minimum      | 1
 Maximum      | 1
 Average      | 1.000000
----

If more details are needed in addition to the replica distribution summary,
use the `--output_replica_distribution_details` flag. If added, the flag makes
the tool print per-table and per-tablet server replica distribution statistics
as well.

Use the `--report_only` flag to get a report on table- and cluster-wide
replica distribution statistics without starting any rebalancing activity.

The rebalancer can also be restricted to run on a subset of the tables by
supplying the `--tables` flag. Note that, when running on a subset of tables,
the tool will not attempt to balance the cluster as a whole.

The length of time rebalancing is run for can be controlled with the flag
`--max_run_time_sec`. By default, the rebalancer will run until the cluster is
balanced. To control the amount of resources devoted to rebalancing, modify
the flag `--max_moves_per_server`. See `kudu cluster rebalance --help` for more.

It's safe to stop the rebalancer tool at any time. When restarted, the
rebalancer will continue rebalancing the cluster.

The rebalancer requires all registered tablet servers to be up and running
to proceed with the rebalancing process. That's to avoid possible conflicts
and races with the automatic re-replication and keep replica placement optimal
for current configuration of the cluster. If a tablet server becomes
unavailable during the rebalancing session, the rebalancer will exit. As noted
above, it's safe to restart the rebalancer after resolving the issue with
unavailable tablet servers.

The rebalancing tool can rebalance Kudu clusters running older versions as well,
with some restrictions. Consult the following table for more information. In the
table, "RF" stands for "replication factor".

[[rebalancer_compatibility]]
.Kudu Rebalancing Tool Compatibility
[options="header"]
|===
| Version Range | Rebalances RF = 1 Tables? | Rebalances RF > 1 Tables?
| v < 1.4.0 | No | No
| 1.4.0 +<=+ v < 1.7.1 | No | Yes
| v >= 1.7.1 | Yes | Yes
|===

If the rebalancer is running against a cluster where rebalancing replication
factor one tables is not supported, it will rebalance all the other tables
and the cluster as if those singly-replicated tables did not exist.

[[rebalancer_tool_with_rack_awareness]]
=== Running the tablet rebalancing tool on a rack-aware cluster

As detailed in the <<rack_awareness, rack awareness>> section, it's possible
to use the `kudu cluster rebalance` tool to establish the placement policy on a
cluster. This might be necessary when the rack awareness feature is first
configured or when re-replication violated the placement policy. The rebalancing
tool breaks its work into three phases:

. The rack-aware rebalancer tries to establish the placement policy. Use the
  `--disable_policy_fixer` flag to skip this phase.
. The rebalancer tries to balance load by location, moving tablet replicas
  between locations in an attempt to spread tablet replicas among locations
  evenly. The load of a location is measured as the total number of replicas in
  the location divided by the number of tablet servers in the location. Use the
  `--disable_cross_location_rebalancing` flag to skip this phase.
. The rebalancer tries to balance the tablet replica distribution within each
  location, as if the location were a cluster on its own. Use the
  `--disable_intra_location_rebalancing` flag to skip this phase.

By using the `--report_only` flag, it's also possible to check if all tablets in
the cluster conform to the placement policy without attempting any replica
movement.

[[tablet_server_decommissioning]]
=== Decommissioning or Permanently Removing a Tablet Server From a Cluster

Kudu does not currently have an automated way to remove a tablet server from
a cluster permanently. Instead, use the following steps:

. Ensure the cluster is in good health using `ksck`. See <<ksck>>.
. If the tablet server contains any replicas of tables with replication factor
  1, these replicas must be manually moved off the tablet server prior to
  shutting it down. The `kudu tablet change_config move_replica` tool can be
  used for this.
. Shut down the tablet server. After
  `-follower_unavailable_considered_failed_sec`, which defaults to 5 minutes,
  Kudu will begin to re-replicate the tablet server's replicas to other servers.
  Wait until the process is finished. Progress can be monitored using `ksck`.
. Once all the copies are complete, `ksck` will continue to report the tablet
  server as unavailable. The cluster will otherwise operate fine without the
  tablet server. To completely remove it from the cluster so `ksck` shows the
  cluster as completely healthy, restart the masters. In the case of a single
  master, this will cause cluster downtime. With multi-master, restart the
  masters in sequence to avoid cluster downtime.

WARNING: Do not shut down multiple tablet servers at once. To remove multiple
tablet servers from the cluster, follow the above instructions for each tablet
server, ensuring that the previous tablet server is removed from the cluster and
`ksck` is healthy before shutting down the next.

[[using_cluster_names_in_kudu_tool]]
=== Using cluster names in the `kudu` command line tool

When using the `kudu` command line tool, it can be difficult to remember the
precise list of Kudu master RPC addresses needed to communicate with a cluster,
especially when managing multiple clusters. As an alternative, the command line
tool can identify clusters by name. To use this functionality:

. Create a new directory to store the Kudu configuration file.
. Export the path to this directory in the `KUDU_CONFIG` environment variable.
. Create a file called `kudurc` in the new directory.
. Populate `kudurc` as follows, substituting your own cluster names and RPC
  addresses:
+
----
clusters_info:
  cluster_name1:
    master_addresses: ip1:port1,ip2:port2,ip3:port3
  cluster_name2:
    master_addresses: ip4:port4
----
+
. When using the `kudu` command line tool, replace the list of Kudu master RPC
  addresses with the cluster name, prepended with the character `@`.

  Example::
+
----
$ sudo -u kudu kudu ksck @cluster_name1
----
+

NOTE: Cluster names may be used as input in any invocation of the `kudu` command
line tool that expects a list of Kudu master RPC addresses.