Get all the angles with the Ringke Fusion-X Pixel 4 case
Source: Ara Wagoner / Android Central
Getting a protective case doesn't mean locking it away in Fort Knox these days, and the overlap between rugged cases and clear cases has been growing with each generation of phones. Want to show off your Pixel 4 but still keep it safe? There's a whole host of cases for that now, and the first one I turn to is the Ringke Fusion-X.
I've had excellent luck with the Ringke Fusion-X series for the last couple of years, and that luck held out again with the Pixel 4. Even after trying on every Pixel 4 case I could get my hands on, the Fusion-X was the case that I wanted to put back on the most. It felt wonderfully sturdy in the hand, it was a good color that's ready for winter, and while it has a very distinct look it still shows off the design goodness of the Pixel 4.
At a glance
Ringke Fusion-X Pixel 4 case
Bottom line: This clear case's robust bumper is perfectly paired with the Pixel's compact size to keep the phone easy to one-hand without compromising on protection. The buttons and camera cutouts are equally robust, but the case's distinct style will be a deal-breaker for some.
The Good
- Ample protection of corners and camera
- Easy to get on and off
- Good grip with sculpted button covers
- Unique bumper with clear back
The Bad
- Smudge magnet
- Buttons feel a bit stiff
Ringke Fusion-X Pixel 4 case Ruggedly handsome
Source: Ara Wagoner / Android Central
It's an edgy look, but Ringke pulls it off just as well with the Pixel 4 as it did with the Galaxy S10 and Note 10 earlier this year. While the case also comes in Black, unless you got the Oh So Orange Pixel 4, I really recommend the lovely Space Blue version, which is a wonderful shade of cerulean that is easy to adore and won't show dust as quickly as boring black will. The rugged bumper extends around the Pixel 4's sizeable camera module, adding a good buffer around the module that should help ensure that a bad fall doesn't wreck the first reason you bought this phone.
The robust bumper also sports air cushions around the corners to help redirect the shock of a drop, but the Fusion-X adds enough grip that I sincerely doubt you'd drop this case unless you're tipsy, your hands are wet, or you're just really danger-prone. The tapering and chamfering on the sides of this rugged clear case are impressive, and I love the way it feels in my hand.
Source: Ara Wagoner / Android Central
The port cutout on the bottom is wide and well squared off, meaning that even if you have bulkier adapters or hubs you plug in, you shouldn't have any issues here. In addition, I'm a big fan of the way Ringke sculpted the button covers here: we have the classic ridges over the power button and a concave volume rocker with subtly raised + and - symbols. This makes it easy to tell where along the buttons your finger lands in an instant.
Ringke Fusion-X Pixel 4 case Odd angles and stiff buttons
Source: Ara Wagoner / Android Central
I'll be the first to admit that the Fusion-X's style is not for everyone. As much as I love this case, my editor still thinks it's ugly, and he's not alone. If the edgy angular look isn't for you, you'll want to look elsewhere, but me? I'm here for it. I wish there were more fun color options beyond Space Blue, but Black goes with everything, at least. The Ruby Red from we've seen on previous Fusion-X models would look pretty sweet this Christmas, though, especially with the White Pixel 4.
The only other issues I can find with this case are minor. Like every other hard-backed clear case, the Fusion-X is a smudge magnet, but so long as you run a microfiber cloth or shirt hem over it every few days, it shouldn't get too grimy. The uniquely sculpted buttons on this case can feel a tiny bit stiff at times, but I'd rather have stiff buttons than mushy ones and they're still easy to identify and press without looking down at the phone.
Ringke Fusion-X Pixel 4 case
Source: Ara Wagoner / Android Central
There are slimmer, sleeker clear cases out there, but I wouldn't trust them as much as I trust Ringke to keep my Pixel 4's perfect camera model intact on the back of the phone. The button covers may feel stiff, but they feel great in the hand and I'm happy to give them a little extra force when I'm adjusting my volume on that sculpted rocker.
4.5 out of 5
The Camo Black option can look especially fun with the Oh So Orange, but if you went with a white or black Pixel 4, go bold with the Space Blue. It's a clear case with the perfect amount of personality while still letting that Pixel flair through.
Chiseled champion
Ringke Fusion-X Pixel 4 case
All the right angles in all the right places.
This clear case's robust bumper is perfectly paired with the Pixel's compact size to keep the phone easy to one-hand without compromising on protection. The buttons and camera cutouts are equally robust, but the case's distinct style will be a deal-breaker for some.
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MinePi
High Performance Minecraft Server OS for the Raspberry Pi
Targeted for the Raspberry Pi 3.
Features
- Low energy operation
- Customizable
- Based on Raspbian Lite, apt-get is available.
- Standard Linux Utilities
- Optional Web Server Capability
System Requirements
- Raspberry Pi 1 Model B or higher
- 8GB SD Card or larger
- 2A Power Supply (Samsung charger cables have no stability to the Raspberry Pi)
- An ethernet connection (for high speed internet access)
- A computer with SSH
NOTE: Do not connect it to a monitor, you can do everything from SSH.


Datawrapper JSON API Test Page
Just a few forms to test the core functionality in the upcoming Datawrapper release
users
GET
get list of users
retreive a list of all users
POST
add a new user
register a new user
auth/login
POST
login
user login
activate
GET
activate
activate user account after receiving token via email
account
GET
get session
find out who's logged in currently
account/lang
PUT
set language to..
change frontend language
users/:id
PUT
change password
change password of logged user
charts
GET
get my charts
get (brief) list of all charts by the current user
POST
create new chart
create a new empty chart
charts/:id
GET
load chart info
get chart info
PUT
update chart
charts/:id/data
PUT
upload chart data
- or -
upload a csv file
upload some data using copy&paste from spreadsheet applications or by uploading a csv file from your computer.
visualizations
GET
get visualizations
get list of available visualizations
gallery
GET
get chart gallery
get 20 most recent charts for public gallery
auth/logout
POST
logout
logout current user


--- layout: splash author_profile: false classes: wide page_assets: /assets/images/landpage/ ---
{{featured.text}}


Extended CAS uses a Google Group as a project mailing list and message board. Anyone is invited to join this group, and please feel free to ask questions about the Extended CAS project. We're here to help.
Extended CAS Google Group: http://groups.google.com/group/cas-extend


We would be extremely grateful if you could leave a review on [@redirect_to]. It really helps to support our business and the service that we provide!
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new Strategy()
sensible strategy interface
- Source:
Methods
-
addMembership(inMulticastAddress, inCallback)
-
Subscribe the UDP socket to a multicast address.
Parameters:
Name Type Description inMulticastAddress
string multicast address to join, eg <IP_ADDRESS> for MDNS inCallback
function function to call on completion - Source:
-
close(inPort, inCallback)
-
Close the UDP socket and bind to the specified port.
Parameters:
Name Type Description inPort
integer port to which to bind, eg 5353 for MDNS inCallback
function function to call on completion - Source:
-
getHostName() → {string}
-
Return the host name of the machine.
- Source:
Returns:
host name- Type
- string
-
getIPAddress() → {string}
-
Return the IP address of the machine.
- Source:
Returns:
IP address- Type
- string
-
listen(inCallback)
-
Listen for packets on the UDP socket.
Parameters:
Name Type Description inCallback
function function to call on reception - Source:
-
open(inPort, inCallback)
-
Open the UDP socket and bind to the specified port. Note only one UDP socket per strategy instance.
Parameters:
Name Type Description inPort
integer port to which to bind, eg 5353 for MDNS inCallback
function function to call on completion - Source:
-
send(inPacket, inRemoteAddress, inRemotePort)
-
Send a packet on the UDP socket.
Parameters:
Name Type Description inPacket
ArrayBuffer packet inRemoteAddress
string remote address inRemotePort
port remote port - Source:


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public interface GrailsApplication
The main interface representing a running Grails application. This interface's main purpose is to provide a mechanism for analysing the conventions within a Grails application as well as providing metadata and information about the execution environment.
The GrailsApplication interface interfacts with ArtefactHandler
instances
which are capable of analysing different artefact types (controllers, domain classes etc.) and introspecting
the artefact conventions
Implementors of this inteface should be aware that a GrailsApplication is only initialised when the initialise() method is called. In other words GrailsApplication instances are lazily initialised by the Grails runtime.
initialise()
,
ArtefactHandler
| Field Summary | |
|---|---|
static String |
APPLICATION_ID
The id of the grails application within a bean context |
static String |
CONFIG_CLASS
The name of the class that provides configuration |
static String |
ENV_APPLICATION
Constant for the application data source, primarly for backward compatability for those applications that use ApplicationDataSource.groovy |
static String |
ENV_DEVELOPMENT
Constant for the development environment |
static String |
ENV_PRODUCTION
Constant for the production environment |
static String |
ENV_TEST
|
static String |
ENVIRONMENT
Constant used to resolve the environment via System.getProperty(ENVIRONMENT) |
static String |
ENVIRONMENT_DEFAULT
Constants that indicates whether this GrailsApplication is running in the default environment |
static String |
PROJECT_CLASSES_DIR
The name of the system property whose value contains the location, during development, of the current Grails projects resources directory |
static String |
PROJECT_RESOURCES_DIR
The name of the system property whose value contains the location, during development, of the current Grails projects resources directory |
static String |
PROJECT_TEST_CLASSES_DIR
The name of the system property whose value contains the location, during development, of the current Grails projects resources directory |
static String |
WORK_DIR
The name of the system property whose value contains the location, during development, of the Grails working directory where temporary files are generated to |
| Method Summary | |
|---|---|
void |
addArtefact(Class artefact)
Adds the given artefact, attempting to determine type from |
GrailsClass |
addArtefact(String artefactType,
Class artefactClass)
Registers a new artefact |
GrailsClass |
addArtefact(String artefactType,
GrailsClass artefactGrailsClass)
Registers a new artefact |
Class[] |
getAllArtefacts()
Retrieves all java.lang.Class instances considered Artefacts loaded by the Grails class loader |
Class[] |
getAllClasses()
Retrieves all java.lang.Class instances loaded by the Grails class loader |
GrailsClass |
getArtefact(String artefactType,
String name)
Gets the GrailsClass associated with the named artefact class i.e. to get the GrailsClass for controller called "BookController" you pass the name "BookController" |
GrailsClass |
getArtefactByLogicalPropertyName(String type,
String logicalName)
Retrieves an artefact by its logical property name. |
GrailsClass |
getArtefactForFeature(String artefactType,
Object featureID)
Get an artefact GrailsClass by a "feature" which depending on the artefact may be a URI or tag name for example |
ArtefactHandler[] |
getArtefactHandlers()
Obtain a list of all the artefact handlers |
ArtefactInfo |
getArtefactInfo(String artefactType)
Obtain all the class information about the artefactType specified |
GrailsClass[] |
getArtefacts(String artefactType)
Get an array of all the GrailsClass instances relating to artefacts of the specified type. |
Class |
getClassForName(String className)
Retrieves a class for the given name within the GrailsApplication or returns null |
groovy.lang.GroovyClassLoader |
getClassLoader()
Returns the class loader instance for the Grails application |
groovy.util.ConfigObject |
getConfig()
Returns the ConfigObject instance |
Map |
getMetadata()
Get access to the project's metadata, specified in application.properties This provides access to information like required grails version, application name, version etc but NOT general application settings. |
ApplicationContext |
getParentContext()
|
Resource |
getResourceForClass(Class theClazz)
Retrieves a Resource instance for the given Grails class or null it doesn't exist |
GrailsControllerClass |
getScaffoldingController(GrailsDomainClass domainClass)
Retrieves the controller that is scaffolding the specified domain class |
void |
initialise()
Initialise this GrailsApplication |
boolean |
isArtefact(Class theClazz)
Call this to find out if the class you have is an artefact loaded by grails. |
boolean |
isArtefactOfType(String artefactType,
Class theClazz)
Check if the specified artefact Class has been loaded by Grails already AND is of the type expected |
boolean |
isArtefactOfType(String artefactType,
String className)
Check if the artefact Class with the name specified is of the type expected |
boolean |
isInitialised()
Returns whether this GrailsApplication has been initialised or not |
boolean |
isWarDeployed()
Returns true if this application has been deployed as a WAR file |
void |
rebuild()
Rebuilds this Application throwing away the class loader and re-constructing it from the loaded resources again. |
void |
refresh()
This method will refresh the entire application |
void |
refreshConstraints()
This method will rebuild the constraint definitions |
void |
registerArtefactHandler(ArtefactHandler handler)
Register a new artefact handler |
| Methods inherited from interface org.springframework.context.ApplicationContextAware |
|---|
setApplicationContext |
| Field Detail |
|---|
static final String WORK_DIR
static final String PROJECT_RESOURCES_DIR
static final String PROJECT_CLASSES_DIR
static final String PROJECT_TEST_CLASSES_DIR
static final String APPLICATION_ID
static final String ENVIRONMENT
static final String ENVIRONMENT_DEFAULT
static final String ENV_DEVELOPMENT
static final String ENV_APPLICATION
static final String ENV_PRODUCTION
static final String ENV_TEST
static final String CONFIG_CLASS
| Method Detail |
|---|
groovy.util.ConfigObject getConfig()
groovy.lang.GroovyClassLoader getClassLoader()
Returns the class loader instance for the Grails application
GrailsControllerClass getScaffoldingController(GrailsDomainClass domainClass)
domainClass
- The domain class to check
Class[] getAllClasses()
Class[] getAllArtefacts()
ApplicationContext getParentContext()
Class getClassForName(String className)
className
- The name of the class
void refreshConstraints()
void refresh()
void rebuild()
Resource getResourceForClass(Class theClazz)
theClazz
- The Grails class
boolean isArtefact(Class theClazz)
Call this to find out if the class you have is an artefact loaded by grails.
theClazz
- A class to test
boolean isArtefactOfType(String artefactType, Class theClazz)
Check if the specified artefact Class has been loaded by Grails already AND is of the type expected
artefactType
- A string identifying the artefact type to check fortheClazz
- The class to check
boolean isArtefactOfType(String artefactType, String className)
Check if the artefact Class with the name specified is of the type expected
artefactType
- A string identifying the artefact type to check forclassName
- The name of a class to check
GrailsClass getArtefact(String artefactType, String name)
Gets the GrailsClass associated with the named artefact class
i.e. to get the GrailsClass for controller called "BookController" you pass the name "BookController"
artefactType
- The type of artefact to retrieve, i.e. "Controller"name
- The name of an artefact such as "BookController"
ArtefactInfo getArtefactInfo(String artefactType)
Obtain all the class information about the artefactType specified
artefactType
- An artefact type identifier i.e. "Domain"
GrailsClass[] getArtefacts(String artefactType)
Get an array of all the GrailsClass instances relating to artefacts of the specified type.
artefactType
- The type of artefact to retrieve, i.e. "Controller"
GrailsClass getArtefactForFeature(String artefactType, Object featureID)
Get an artefact GrailsClass by a "feature" which depending on the artefact may be a URI or tag name for example
artefactType
- The type ID of the artefact, i.e. "TagLib"featureID
- The "feature" ID, say a URL or tag name
GrailsClass addArtefact(String artefactType, Class artefactClass)
Registers a new artefact
artefactType
- The type ID of the artefact, i.e. "TagLib"artefactClass
- The class of the artefact. A new GrailsClass will be created automatically and added
to internal structures, using the appropriate ArtefactHandler
GrailsClass addArtefact(String artefactType, GrailsClass artefactGrailsClass)
Registers a new artefact
artefactType
- The type ID of the artefact, i.e. "TagLib"artefactGrailsClass
- The GrailsClass of the artefact.
void registerArtefactHandler(ArtefactHandler handler)
Register a new artefact handler
handler
- The new handler to addArtefactHandler[] getArtefactHandlers()
Obtain a list of all the artefact handlers
void initialise()
boolean isInitialised()
Map getMetadata()
Get access to the project's metadata, specified in application.properties
This provides access to information like required grails version, application name, version etc but NOT general application settings.
GrailsClass getArtefactByLogicalPropertyName(String type, String logicalName)
type
- The artefact typelogicalName
- The logical name
void addArtefact(Class artefact)
artefact
- The artefact to addboolean isWarDeployed()
|
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Oak Segment Tar is an Oak storage backend that stores content as various types of records within larger segments. Segments themselves are collected within tar files along with further auxiliary information. A journal is used to track the latest state of the repository. It is based on the following key principles:
Immutability. Segments are immutable, which makes is easy to cache frequently accessed segments. This also makes it less likely for programming or system errors to cause repository inconsistencies, and simplifies features like backups or master-slave clustering.
Compactness. The formatting of records is optimized for size to reduce IO costs and to fit as much content in caches as possible.
Locality. Segments are written so that related records, like a node and its immediate children, usually end up stored in the same segment. This makes tree traversals very fast and avoids most cache misses for typical clients that access more than one related node per session.
The content tree and all its revisions are stored in a collection of immutable records within segments. Each segment is identified by a UUID and typically contains a continuous subset of the content tree, for example a node with its properties and closest child nodes. Some segments might also be used to store commonly occurring property values or other shared data. Segments can be to up to 256KiB in size. See Segments and records for a detailed description of the segments and records.
Segments are collectively stored in tar files and check-summed to ensure their integrity. Tar files also contain an index of the tar segments, the graph of segment references of all segments it contains and an index of all external binaries referenced from the segments in the tar file. See Structure of TAR files for details.
The journal is a special, atomically updated file that records the state of the repository as a sequence of references to successive root node records. For crash resiliency the journal is always only updated with a new reference once the referenced record has been flushed to disk. The most recent root node reference stored in the journal is used as the starting point for garbage collection. All content currently visible to clients must be accessible through that reference.
Oak Segment Tar is an evolution of a previous implementation. Upgrading requires migrating to the new storage format.
See Design of Oak Segment Tar for a high level design overview of Oak Segment Tar.
Garbage Collection is the set of processes and techniques employed by Oak Segment Tar to eliminate unused persisted data, thus limiting the memory and disk footprint of the system. Most of the operations on repository data generate a certain amount of garbage. This garbage is a byproduct of the repository operations and consists of leftover data that is not usable by the user. If left unchecked, this garbage would just pile up, consume disk space and pollute in-memory data structures. To avoid this, Oak Segment Tar defines garbage collection procedures to eliminate unnecessary data.
The process implemented by Oak Segment Tar to eliminate unnecessary data is a generational garbage collection algorithm. The idea behind this algorithm is that the system assigns a generation to every piece of data generated by the user. A generation is just a number that is monotonically increasing.
When the system first starts, every piece of data created by the user belongs to the first generation.  As soon as the second generation is in place, data from the first generation that is still used by the user is copied over to the second generation. From this moment on, new data will be assigned to the second generation. Now the system contains data from the first and the second generation, but only data from the second generation is used. The garbage collector can now remove every piece of data from the first generation. This removal is safe, because every piece of data that is still in use was copied to the second generation when garbage collection started.
The process of creating a new generation, migrating data to the new generation and removing an old generation is usually referred to as a “garbage collection cycle”. The system goes through many garbage collection cycles over its lifetime, where every cycle removes unused data from older generations.
While the previous section describes the idea behind garbage collection, this section introduces the building blocks on top of which garbage collection is implemented. Oak Segment Tar splits the garbage collection process in three phases: estimation, compaction and cleanup.
Estimation is the first phase of garbage collection. In this phase, the system estimates how much garbage is actually present in the system. If there is not enough garbage to justify the creation of a new generation, the rest of the garbage collection process is skipped. If the output of this phase reports that the amount of garbage is beyond a certain threshold, the system creates a new generation and goes on with the next phase.
Compaction executes after a new generation is created. The purpose of compaction is to create a compact representation of the current generation. For this the current generation is copied to the new generation leaving out anything from the current generation that is not reachable anymore. Starting with Oak 1.8 compaction can operate in either of two modes: full compaction and tail compaction. Full compaction copies all revisions pertaining to the current generation to the new generation. In contrast tail compaction only copies the most recent ones. The two compaction modes differ in usage of system resources and how much time they consume. While full compaction is more thorough overall, it usually requires much more time, disk spice and disk IO than tail compaction.
Cleanup is the last phase of garbage collection and kicks in as soon as compaction is done. Once relevant data is safe in the new generation, old and unused data from a previous generation can be removed. This phase locates outdated pieces of data from one of the oldest generations and removes it from the system. This is the only phase where data is actually deleted and disk space is finally freed. The amount of freed disk space depends on the preceding compaction operation. In general cleanup can free less space after a tail compaction than after a full compaction. However, this only becomes effective a further garbage collection cycle due to the system always retaining a total of two generations.
Offline garbage collection is the procedure followed by Oak Segment Tar to execute garbage collection by taking exclusive control of the repository.
Offline garbage collection runs as a standalone Java tool manually or semi-automatically started from the command line. The way offline garbage collection works is simpler than the online version. It is assumed that a human operator is in charge of deciding when offline compaction is needed. In such a case, the human operator has to take offline - hence the name - the system using the repository and start the compaction utility from the command line.
Since offline garbage collection requires human intervention to run, the estimation phase is not executed at all.   The offline garbage collection process consist of the compaction and cleanup phases only. It always employs full compaction with the subsequent cleanup retaining a single generation.
The main drawback of offline garbage collection is that the process has to take exclusive control of the repository. Nevertheless, this is also a strength. Having exclusive access to the repository, offline garbage collection is usually faster and more effective of its online counterpart. Because of this, offline garbage collection is (and will always be) an important tool in repository management.
  Online garbage collection runs as a background process at regular intervals of time, potentially removing unused data at each iteration. The main benefit of online garbage collection is that it runs concurrently with other system activities: it does not require the user to shut down the system for it to work.
 This section groups those log messages by function, so to provide a useful reference to understand the different activities performed by online garbage collection.
Please note that the following messages are to be used as an example only. To make the examples clear, some information like the date and time, the name of the thread, and the name of the logger are removed. These information depend on the configuration of your logging framework. Moreover, some of those messages contain data that can and will change from one execution to the other.
 The sequence number is always printed at the beginning of the message like in the following example.
TarMK GC #2: ...

TarMK GC #2: started
As soon as the estimation phase of garbage collection starts, the following message is printed.
TarMK GC #2: estimation started
The estimation phase can be disabled by configuration. If this is the case, the system prints the following message.
TarMK GC #2: estimation skipped because it was explicitly disabled
Estimation is also skipped when compaction is disabled on the system. In this case, the following message is printed instead.
TarMK GC #2: estimation skipped because compaction is paused
The execution of the estimation phase can be cancelled manually by the user or automatically if certain events occur. If estimation is cancelled, the following message is printed.
TarMK GC #2: estimation interrupted: ${REASON}. Skipping compaction.
The placeholder ${REASON} is not actually printed in the message, but will be substituted by a more specific description of the reason that brought estimation to a premature halt. As stated before, some external events can terminate estimation, e.g. not enough memory or disk space on the host system. Moreover, estimation can also be cancelled by shutting down the system or by explicitly cancelling it via administrative interfaces. In each of these cases, the reason why estimation is cancelled will be printed in the log.
When estimation terminates, either because of external cancellation or after a successful execution, the following message is printed.
TarMK GC #2: estimation completed in 961.8 μs (0 ms). ${RESULT}
Moreover, the duration of the estimation phase is printed both in a readable format and in milliseconds. The placeholder ${RESULT} stands for a message that depends on the estimation strategy.
When the compaction phase of the garbage collection process starts, the following message is printed.
TarMK GC #2: compaction started, gc options=SegmentGCOptions{paused=false, estimationDisabled=false, gcSizeDeltaEstimation=1, retryCount=5, forceTimeout=3600, retainedGenerations=2, gcSizeDeltaEstimation=1}
The message includes a dump of the garbage collection options that are used during the compaction phase.
The type of the compaction phase is determined by the configuration. A log message indicates which compaction type is used.
TarMK GC #2: running ${MODE} compaction
Here ${MODE} is either full or tail.  This is indicated in the log via the following message:
TarMK GC #2: no base state available, running full compaction instead
The compaction phase can be skipped by pausing the garbage collection process. If compaction is paused, the following message is printed.
TarMK GC #2: compaction paused
As long as compaction is paused, neither the estimation phase nor the compaction phase will be executed.
The compaction phase can be cancelled manually by the user or automatically because of external events. If compaction is cancelled, the following message is printed.
TarMK GC #2: compaction cancelled: ${REASON}.
The placeholder ${REASON} is not actually printed in the message, but will be substituted by a more specific description of the reason that brought compaction to a premature halt. As stated before, some external events can terminate compaction, e.g. not enough memory or disk space on the host system. Moreover, compaction can also be cancelled by shutting down the system or by explicitly cancelling it via administrative interfaces. In each of these cases, the reason why compaction is cancelled will be printed in the log.
When compaction complete successfully, the following message is printed.
TarMK GC #2: compaction succeeded in 6.580 min (394828 ms), after 2 cycles
The time shown in the log message is relative to the compaction phase only. The reference to the amount of cycles spent for the compaction phase is explained in more detail below. If compaction did not complete successfully, the following message is printed instead.
TarMK GC #2: compaction failed in 32.902 min (1974140 ms), after 5 cycles
This message doesn’t mean that there was an unrecoverable error, but only that compaction gave up after a certain amount of attempts. In case an error occurs, the following message is printed instead.
TarMK GC #2: compaction encountered an error
This message is followed by the stack trace of the exception that was caught during the compaction phase. There is also a special message that is printed if the thread running the compaction phase is interrupted.
TarMK GC #2: compaction interrupted
Since checkpoints share a lot of common data between themselves and between the actual content compaction handles them individually deduplicating as much content as possible. The following messages will be printed to the log during the process.
TarMK GC #2: Found checkpoint 4b2ee46a-d7cf-45e7-93c3-799d538f85e6 created at Wed Nov 29 15:31:43 CET 2017. TarMK GC #2: Found checkpoint 5c45ca7b-5863-4679-a7c5-6056a999a6cd created at Wed Nov 29 15:31:43 CET 2017. TarMK GC #2: compacting checkpoints/4b2ee46a-d7cf-45e7-93c3-799d538f85e6/root. TarMK GC #2: compacting checkpoints/5c45ca7b-5863-4679-a7c5-6056a999a6cd/root. TarMK GC #2: compacting root.
When compaction runs as part of online garbage collection, it has to work concurrently with the rest of the system. This means that, while compaction tries to copy useful data to the new generation, concurrent commits to the repository are writing data to the old generation. To cope with this, compaction tries to catch up with concurrent writes by incorporating their changes into the new generation.
When compaction first tries to setup the new generation, the following message is printed.
TarMK GC #2: compaction cycle 0 completed in 6.580 min (394828 ms). Compacted 3e3b35d3-2a15-43bc-a422-7bd4741d97a5.0000002a to 348b9500-0d67-46c5-a683-3ea8b0e6c21c.000012c0
The message shows how long it took to compact the data to the new generation. It also prints the record identifiers of the two head states. The head state on the left belongs to the previous generation, the one on the right to the new.
If concurrent commits are detected, compaction tries to incorporate those changes in the new generation. In this case, the following message is printed.
TarMK GC #2: compaction detected concurrent commits while compacting. Compacting these commits. Cycle 1 of 5
This message means that a new compaction cycle is automatically started. Compaction will try to incorporate new changes for a certain amount of cycles, where the exact amount of cycles is a configuration option. After every compaction cycle, the following message is printed.
TarMK GC #2: compaction cycle 1 completed in 6.580 min (394828 ms). Compacted 4d22b170-f8b7-406b-a2fc-45bf782440ac.00000065 against 3e3b35d3-2a15-43bc-a422-7bd4741d97a5.0000002a to 72e60037-f917-499b-a476-607ea6f2735c.00000d0d
This message contains three record identifiers instead of two. This is because the initial state that was being compacted evolved into a different one due to the concurrent commits. The message makes clear that the concurrent changes referenced from the first record identifier, up to the changes referenced from the second identifier, where moved to the new generation and are now referenced from third identifier.
If the system is under heavy load and too many concurrent commits are generated, compaction might fail to catch up. In this case, a message like the following is printed.
TarMK GC #2: compaction gave up compacting concurrent commits after 5 cycles.
The message means that compaction tried to compact the repository data to the new generation for five times, but every time there were concurrent changes that prevented compaction from completion. To prevent the system from being too overloaded with background activity, compaction stopped itself after the configured amount of cycles.
At this point the system can be configured to obtain exclusive access of the system and force compaction to complete. This means that if compaction gave up after the configured number of cycles, it would take full control over the repository and block concurrent writes. If the system is configured to behave this way, the following message is printed.
TarMK GC #2: trying to force compact remaining commits for 60 seconds. Concurrent commits to the store will be blocked.
If, after taking exclusive control of the repository for the specified amount of time, compaction completes successfully, the following message will be printed.
TarMK GC #2: compaction succeeded to force compact remaining commits after 56.7 s (56722 ms).
Sometimes the amount of time allocated to the compaction phase in exclusive mode is not enough. It might happen that compaction is not able to complete its work in the allocated time. If this happens, the following message is printed.
TarMK GC #2: compaction failed to force compact remaining commits after 6.580 min (394828 ms). Most likely compaction didn't get exclusive access to the store.
Even if compaction takes exclusive access to the repository, it can still be interrupted. In this case, the following message is printed.
TarMK GC #2: compaction failed to force compact remaining commits after 6.580 min (394828 ms). Compaction was cancelled: ${REASON}.
The placeholder ${REASON} will be substituted with a more detailed description of the reason why compaction was stopped.
When the cleanup phase of the garbage collection process starts, the following message is printed.
TarMK GC #2: cleanup started.
If cleanup is cancelled, the following message is printed.
TarMK GC #2: cleanup interrupted
There is no way to cancel cleanup manually. The only time cleanup can be cancel is when shutting down the repository.
When cleanup completes, the following message is printed.
TarMK GC #2: cleanup completed in 16.23 min (974079 ms). Post cleanup size is 10.4 GB<PHONE_NUMBER>4 bytes) and space reclaimed 84.5 GB<PHONE_NUMBER>8 bytes).
The message includes the time the cleanup phase took to complete, both in a human readable format and in milliseconds. Next the final size of the repository is shown, followed by the amount of space that was reclaimed during the cleanup phase. Both the final size and the reclaimed space are shown in human readable form and in bytes.
The first thing cleanup does is printing out the current size of the repository with a message similar to the following.
TarMK GC #1: current repository size is 89.3 GB<PHONE_NUMBER>8 bytes)
After that, the cleanup phase will iterate through every TAR file and figure out which segments are still in use and which ones can be reclaimed. After the cleanup phase scanned the repository, TAR files are purged of unused segments. In some cases, a TAR file would end up containing no segments at all. In this case, the TAR file is marked for deletion and the following message is printed.
TarMK GC #2: cleanup marking files for deletion: data00000a.tar
Please note that this message doesn’t mean that cleanup will physically remove the file right now. The file is only being marked as deletable. Another background task will periodically kick in and remove unused files from disk. When this happens, the following message is printed.
Removed files data00000a.tar,data00001a.tar,data00002a.tar
The output of this message can vary. It depends on the amount of segments that were cleaned up, on how many TAR files were emptied and on how often the background activity removes unused files.
The Segment Store exposes certain pieces of information via JMX. This allows clients to easily access some statistics about the Segment Store, and connect the Segment Store to whatever monitoring infrastructure is in place. Moreover, JMX can be useful to execute some low-level operations in a manual fashion.
Each session exposes an SessionMBean instance, which contains counters like the number and rate of reads and writes to the session:
getInitStackTrace (string) A stack trace from where the session was acquired.
AuthInfo (AuthInfo) The AuthInfo instance for the user associated with the session.
LoginTimeStamp (string) The time stamp from when the session was acquired.
LastReadAccess (string) The time stamp from the last read access
ReadCount (long) The number of read accesses on this session
ReadRate (double) The read rate in number of reads per second on this session
LastWriteAccess (string) The time stamp from the last write access
WriteCount (long) The number of write accesses on this session
WriteRate (double) The write rate in number of writes per second on this session
LastRefresh (string) The time stamp from the last refresh on this session
RefreshStrategy (string) The refresh strategy of the session
RefreshPending (boolean) A boolean indicating whether the session will be refreshed on next access.
RefreshCount (long) The number of refresh operations on this session
RefreshRate (double) The refresh rate in number of refreshes per second on this session
LastSave (string) The time stamp from the last save on this session
SaveCount (long) The number of save operations on this session
SaveRate (double) The save rate in number of saves per second on this session
SessionAttributes (string[]) The attributes associated with the session
LastFailedSave (string) The stack trace of the last exception that occurred during a save operation
refresh Refresh this session.
The RepositoryStatsMBean exposes endpoints to monitor the number of open sessions, the session login rate, the overall read and write load across all sessions, the overall read and write timings across all sessions and overall load and timings for queries and observation.
SessionCount (CompositeData) Number of currently logged in sessions.
SessionLogin (CompositeData) Number of calls sessions that have been logged in.
SessionReadCount (CompositeData) Number of read accesses through any session.
SessionReadDuration (CompositeData) Total time spent reading from sessions in nano seconds.
SessionReadAverage (CompositeData) Average time spent reading from sessions in nano seconds. This is the sum of all read durations divided by the number of reads in the respective time period.
SessionWriteCount (CompositeData) Number of write accesses through any session.
SessionWriteDuration (CompositeData) Total time spent writing to sessions in nano seconds.
SessionWriteAverage (CompositeData) Average time spent writing to sessions in nano seconds. This is the sum of all write durations divided by the number of writes in the respective time period.
QueryCount() Number of queries executed.
QueryDuration (CompositeData) Total time spent evaluating queries in milli seconds.
QueryAverage (CompositeData) Average time spent evaluating queries in milli seconds. This is the sum of all query durations divided by the number of queries in the respective time period.
ObservationEventCount (CompositeData) Total number of observation {@code Event} instances delivered to all observation listeners.
ObservationEventDuration (CompositeData) Total time spent processing observation events by all observation listeners in nano seconds.
ObservationEventAverage Average time spent processing observation events by all observation listeners in nano seconds. This is the sum of all observation durations divided by the number of observation events in the respective time period.
ObservationQueueMaxLength (CompositeData) Maximum length of observation queue in the respective time period.
The SegmentNodeStoreStatsMBean exposes endpoints to monitor commits: number and rate, number of queued commits and queuing times.
CommitsCount (CompositeData) Time series of the number of commits
QueuingCommitsCount (CompositeData) Time series of the number of commits queuing
CommitTimes (CompositeData) Time series of the commit times
QueuingTimes (CompositeData) Time series of the commit queuing times
The FileStoreStatsMBean exposes endpoints reflecting the amount of data written to disk, the number of tar files on disk and the total footprint on disk.
ApproximateSize (long) An approximate disk footprint of the Segment Store.
TarFileCount (int) The number of tar files of the Segment Store.
WriteStats (CompositeData) Time series of the writes to repository
RepositorySize (CompositeData) Time series of the writes to repository
StoreInfoAsString (string) A human readable descriptive representation of the values exposed by this MBean.
JournalWriteStatsAsCount (long) Number of writes to the journal of this Segment Store.
JournalWriteStatsAsCompositeData (CompositeData) Time series of the writes to the journal of this Segment Store.
The SegmentRevisionGarbageCollection MBean tracks statistics about garbage collection. Some of the statistics are specific to specific phases of the garbage collection process, others are more widely applicable. This MBean also exposes management operations to start and cancel garbage collection and options that can influence the outcome of garbage collection. You should use this MBean with great care.
The following options are collectively called “garbage collection options”, since they are used to tweak the behaviour of the garbage collection process. These options are readable and writable, but they take effect only at the start of the next garbage collection process.
The following options are read-only and expose runtime statistics about the garbage collection process.
The SegmentRevisionGarbageCollection MBean also exposes the following management operations.
Oak Segment Tar exposes a number of command line tools that can be used to perform different tasks on the repository.
The tools are exposed as sub-commands of Oak Run. The following sections assume that you have built this module or that you have a compiled version of it.
java -jar oak-run.jar backup ORIGINAL BACKUP
The backup tool performs a backup of a Segment Store ORIGINAL and saves it to the folder BACKUP. ORIGINAL must be the path to an existing, valid Segment Store. BACKUP must be a valid path to a folder on the file system. If BACKUP doesn’t exist, it will be created. If BACKUP exists, it must be a path to an existing, valid Segment Store.
The tool assumes that the ORIGINAL Segment Store doesn’t use an external Blob Store. If this is the case, it’s necessary to set the oak.backup.UseFakeBlobStore system property to true on the command line as shown below.
java -Doak.backup.UseFakeBlobStore=true -jar oak-run.jar backup ...
When a backup is performed, if BACKUP points to an existing Segment Store, only the content that is different from ORIGINAL is copied. This is similar to an incremental backup performed at the level of the content. When an incremental backup is performed, the tool will automatically try to cleanup eventual garbage from the BACKUP Segment Store.
java -jar oak-run.jar restore ORIGINAL BACKUP
The restore tool restores the state of the ORIGINAL Node Store from a previous backup BACKUP. This tool is the counterpart of backup.
java -jar oak-run.jar check PATH [--journal JOURNAL] [--notify SECS] [--bin] [--filter PATH1[,PATH2,..,PATHn]] [--io-stats]
The check tool inspects an existing Segment Store at PATH for eventual inconsistencies. The algorithm implemented by this tool traverses every revision in the journal, from the most recent to the oldest. For every revision, the actual nodes and properties are traversed, verifying that every piece of data is reachable and undamaged. A deep scan of the content tree, traversing every node, will be performed by default.
If the --journal option is specified, the tool will use the journal file at JOURNAL instead of picking up the one contained in PATH. JOURNAL must be a path to a valid journal file for the Segment Store.
If the --notify option is specified, the tool will print progress information messages every SECS seconds. If not specified, progress information messages will be disabled. If SECS equals 0, every progress information message is printed.
If the --bin option is specified, the tool will scan the full content of binary properties. If not specified, the binary properties will not be traversed. The --bin option has no effect on binary properties stored in an external Blob Store.
If the --filter option is specified, the tool will traverse only the absolute paths specified as arguments. At least one argument is expected with this option; multiple arguments need to be comma-separated. The paths will be traversed in the same order as they were specified. If the option is not specified, the full traversal of the repository (rooted at /) will be performed.
If the --io-stats option is specified, the tool will print some statistics about the I/O operations performed during the execution of the check command. This option is optional and is disabled by default.
java -jar oak-run.jar compact [--force] [--mmap] PATH
The compact command performs offline compaction of the Segment Store at PATH. PATH must be a valid path to an existing Segment Store.
If the optional --force [Boolean] argument is set to true the tool ignores a non matching Segment Store version. CAUTION: this will upgrade the Segment Store to the latest version, which is incompatible with older versions. There is no way to downgrade an accidentally upgraded Segment Store.
The optional --mmap [Boolean] argument can be used to control the file access mode. Set to true for memory mapped access and false for file access. If not specified, memory mapped access is used on 64 bit systems and file access is used on 32 bit systems. On Windows, regular file access is always enforced and this option is ignored.
To enable logging during offline compaction a Logback configuration file has to be injected via the logback.configurationFile property. In addition the compaction-progress-log property controls the number of compacted nodes that will be logged. The default value is 150000.
The following command uses logback-compaction.xml to configure Logback logging compaction progress every 1000 nodes to the console.
java -Dlogback.configurationFile=logback-compaction.xml -Dcompaction-progress-log=1000 -jar oak-run.jar compact /path/to/segmenstore
logback-compaction.xml:
<?xml version="1.0" encoding="UTF-8"?> <configuration scan="true"> <appender name="console" class="ch.qos.logback.core.ConsoleAppender"> <encoder> <pattern>%d{HH:mm:ss.SSS} [%thread] %-5level %logger{36} - %msg%n</pattern> </encoder> </appender> <logger name="org.apache.jackrabbit.oak.segment.file.FileStore" level="INFO"/> <root level="warn"> <appender-ref ref="console" /> </root> </configuration>
java -jar oak-run.jar debug PATH java -jar oak-run.jar debug PATH ITEMS...
The debug command prints diagnostic information about a Segment Store or individual Segment Store items.
PATH is mandatory and must be a valid path to an existing Segment Store. If only the path is specified - as in the first example above - only general debugging information about the Segment Store are printed.
ITEMS is a sequence of one or more TAR file name, segment ID, node record ID or range of node record ID. If one or more items are specified - as in the second example above - general debugging information about the segment store are not printed. Instead, detailed information about the specified items are shown.
A TAR file is specified by its name. Every string in ITEMS ending in.tar is assumed to be a name of a TAR file.
A segment ID is specified by its UUID representation, e.g. 333dc24d-438f-4cca-8b21-3ebf67c05856.
A node record ID is specified by a concatenation of a UUID and a record number, e.g. 333dc24d-438f-4cca-8b21-3ebf67c05856:12345. The record ID must point to a valid node record. A node record ID can be optionally followed by path, like 333dc24d-438f-4cca-8b21-3ebf67c05856:12345/path/to/child. When a node record ID is provided, the tool will print information about the node record pointed by it. If a path is specified, the tool will additionally print information about every child node identified by that path.
A node record ID range is specified by a pair of record IDs separated by a hyphen (-), e.g. 333dc24d-438f-4cca-8b21-3ebf67c05856:12345-46116fda-7a72-4dbc-af88-a09322a7753a:67890. Both record IDs must point to valid node records. The pair of record IDs can be followed by a path, like 333dc24d-438f-4cca-8b21-3ebf67c05856:12345-46116fda-7a72-4dbc-af88-a09322a7753a:67890/path/to/child. When a node record ID range is specified, the tool will perform a diff between the two nodes pointed by the record IDs, optionally following the provided path. The result of the diff will be printed in JSOP format.
java -jar oak-run.jar tarmkdiff [--output OUTPUT] --list PATH java -jar oak-run.jar tarmkdiff [--output OUTPUT] [--incremental] [--path NODE] [--ignore-snfes] --diff REVS PATH
The diff command prints content diffs between revisions in the Segment Store at PATH.
The --output option instructs the command to print its output to the file OUTPUT. If this option is not specified, the tool will print to a .log file augmented with the current timestamp. The default file will be saved in the current directory.
If the --list option is specified, the command just prints a list of revisions available in the Segment Store. This is equivalent to the first command line specification in the example above.
If the --list option is not specified, tarmkdiff prints one or more content diff between a pair of revisions. In this case, the command line specification is the second in the example above.
The --diff option specifies an interval of revisions REVS. The interval is specified by a couple of revisions separated by two dots, e.g. 333dc24d-438f-4cca-8b21-3ebf67c05856:12345..46116fda-7a72-4dbc-af88-a09322a7753a:67890. In place of any of the two revisions, the placeholder head can be used. The head placeholder is substituted (in a case-insensitive way) to the most recent revision in the Segment Store.
The --path option can be used to restrict the diff to a portion of the content tree. The value NODE must be a valid path in the content tree.
If the flag --incremental is specified, the output will contain an incremental diff between every pair of successive revisions occurring in the interval specified with --diff. This parameter is useful if you are interested in every change in content between every commit that happened in a specified range.
The --ignore-snfes flag can be used in combination with --incremental to ignore errors that might occur while generating the incremental diff because of damaged or too old content. If this flag is not specified and an error occurs while generating the incremental diff, the tool stops immediately and reports the error.
java -jar oak-run.jar history [--journal JOURNAL] [--path NODE] [--depth DEPTH] PATH
The history command shows how the content of a node or of a sub-tree changed over time in the Segment Store at PATH.
The history of the node is computed based on the revisions reported by the journal in the Segment Store. If a different set of revisions needs to be used, it is possible to specify a custom journal file by using the --journal option. If this option is used, JOURNAL must be a path to a valid journal file.
The --path parameter specifies the node whose history will be printed. If not specified, the history of the root node will be printed. NODE must be a valid path to a node in the Segment Store.
The --depth parameter determines if the content of a single node should be printed, or if the content of the sub-tree rooted at that node should be printed instead. DEPTH must be a positive integer specifying how deep the printed content should be. If this option is not specified, the depth is assumed to be 0, i.e. only information about the node will be printed.


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Game 1: Denver Nuggets at Orlando Magic
My Pick:
Denver Nuggets
Why I'm Rolling with them:
The Nuggets are an interesting matchup against the Magic, as both teams have offensively gifted centers who can play on the perimeter very well. The differences between these two teams lies in the fact that the rest of the Nugget's lineup is also very good, whereas the Magic have some questions at the wing position. Jamal Murray should be able to score quite a few points on Augustin, leading to a victory for the Nuggets, 119-109.
Game 2: Golden State Warriors at Cleveland Cavaliers
My Pick:
Golden State Warriors
Why I'm Rolling with them:
The Golden State Warriors are the far superior team here, especially now that they have Steph back. This team beat Cleveland when they had Lebron, Love, and Korver. What are Sexton and Osman going to do against them? Kevin Durant will be able to go off against whatever wing is unlucky enough to guard him, and Steph will dance circles around Sexton. I wouldn't be surprised to see Durant/Steph/Klay put up a combined 80-90 points tonight. Cleveland loses 120-102.
Game 3: Washington Wizards at Atlanta Hawks
My Pick:
Washington Wizards
Why I'm Rolling with them:
John Wall isn't playing tonight, which means we get a prime opportunity to see Bradley Beal in all his glory. I think Beal is one of the top players in that 25 years old group, as his versatility on offense as well as defensive capabilities make him a top tier shooting guard in the league. The Hawks don't really have the personnel to deal with Beal and Porter, so this one should be pretty safe for the Wizards. Washington, 106-100.
Why I'm Rolling with them:
Game 4: Oklahoma City Thunder at Brooklyn Nets
My Pick:
Oklahoma City Thunder
Why I'm Rolling with them:
The Thunder's rebounding prowess makes them a favourite in most of the games they play, and tonight is no exception. Steven Adams is a physical force, and should be able to bully Allen inside. Westbrook is athletic enough to make D'Angelo Russell struggle on the offensive end. Add in Paul George, who has settled nicely into the secondary option role after his time as the primary option, and you have a Thunder win, 117-111.
Game 5: Philadelphia 76ers at Toronto Raptors
My Pick:
Toronto Raptors
Why I'm Rolling with them:
The Raptors lost a tough game against the Nuggets, and the Sixers have been looking good lately. However, Kawhi is able to lock down Jimmy Butler pretty consistently, and I think the Raptors will be able to capitalize on Simmon's lack of outside shooting. Lowry is one of the stronger point guards in the league, and won't allow Simmons to play bully-ball. It comes down to Embiid, who is an X-factor in these games. If he's on, Philly could easily take this one. But I'm predicting a 115-112 win for the Raptors.
Game 6: Detroit Pistons at Milwaukee Bucks
My Pick:
Milwaukee Bucks
Why I'm Rolling with them:
The Bucks have the length and rebounding prowess to make Drummond's job tonight a lot more difficult. I'll be interested to see how Detroit's frontcourt fares, but I think Giannis will be able to get to the rim at will, and really make the rest of Detroit struggle to deal with him. Bledsoe has also been playing well this season, and should prove an issue for Reggie Jackson, who has also been having a decent season. Bucks win 116-110.
Game 7: Charlotte Hornets at Minnesota Timberwolves
My Pick:
Minnesota Timberwolves
Why I'm Rolling with them:
The Timberwolves have really stepped up defensively since getting Covington, and I'm excited to see how they deal with Kemba, who plays the one position where the Timberwolves defense might be the weakest. Covington should be able to provide help on the wings, but I'm not sure if he can guard 1's. Either way, the rest of Minnesota's roster is too talented to lose this game. They even have the better grizzled backup point guard! Minnesota, 110-103.
Game 8: Dallas Mavericks at New Orleans Pelicans
My Pick:
Dallas Mavericks
Why I'm Rolling with them:
I just really like the Mavericks. I think that Deandre Jordan is a pretty good counter to AD in the middle, as he's a very athletic big man. The main thing here is that New Orleans doesn't have a capable defender for Doncic. Jrue is just a little small, AD is just a little big, and the rest of the team doesn't have what it takes. Because of that, I think we'll see the Dallas upset, 112-109.
Game 9: Los Angeles Clippers at Memphis Grizzlies
My Pick:
Los Angeles Clippers
Why I'm Rolling with them:
I think the Clippers are just the better team here honestly, the Grizzlies are a very talented squad but the Clippers have better depth, and the defensive chops to hold down the two stars of Memphis. JJJ has been playing very well lately, and scored 36 points the other night in a big win. But the Clippers don't need star power, as they get consistent production from the whole roster every night. Clippers, 113-107.
Game 10: San Antonio Spurs at Los Angeles Lakers
My Pick:
Los Angeles Lakers
Why I'm Rolling with them:
The Spurs have struggled pretty heavily in the past 2 weeks, with multiple 30+ point losses at the hands of mediocre teams. The Lakers are not a mediocre team, and should be able to capitalize on the weaknesses shown by the Spurs recently. A lot of the blame for these losses rests on a lack of defensive effort by the Spur's starters, in which LMA may be their best defender. That's not a good thing. Lakers take it decisively, 120-107.


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The following are all stream sinks.
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Prosecutor Vacancy At Ministry Of Corporate Affairs
by Manav MalhotraUnion Public Service Commission invites online application for the post of Prosecutor in Ministry of Corporate Affairs, for two years subject to successful completion of mandatory induction training of two weeks duration, as prescribed and sponsored by SFIO.
Name of the Post: Prosecutor
No. of Post: 01 (One)
Age Limit: 30 Years
Pay Scale: Level 8 (Rs.47,600-1,51,100/-) in the Pay matrix as per 7th CPC
Essential Qualification and Experience
- Graduate in any discipline plus bachelor's degree in Law from a recognized University or Institute; OR
- Integrated graduate in Law (5 years duration) from a recognized University or Institute.
- For Graduate in any discipline plus bachelor's degree in Law Holders- One-year experience in handling litigation & court matters/administration of Law in a Government organization; OR
- For Integrated graduate in Law (5 years duration) Holders 2 years' experience in handing litigation & court matters/administration of Law in a Government organization.
How to apply?
- To apply online click here
- The last date to apply is 14th November 2019
To Access Official Notification click here


Developed by Mike Heggeseth using Twitter Bootstrap (style, responsive design), KnockoutJS (data binding, page behavior), AmplifyJS (AJAX request, in-browser data storage), lodash (data jiggering), Dropbox JS (saving favorites to Dropbox), Firebase (real-time favorite counts for all users), jQuery (dependency of AmplifyJS.request, minor DOM manipulation), and Sugar (useful utilities for dates and arrays)


Inclusion and exclusion criteria.
1.
Articles or reports or other documents published in peer-reviewed journals or national or international organizations’ publications, from January 2003 until May 2018 that report practices, implementation of guidelines, experiences, structures, processes, evaluation results about national routine or ad hoc entry or exit screening activities referring to travelers at ports or airports or ground crossings, worldwide.
2.
Moreover, articles and documents that include information referring to any of the following (a) to (j) were included in the literature review:
Type of screening (entry, exit)
Type of infectious disease or diseases that entry or exit screening was targeting
Type of points of entry (airports, ports, ground crossings) where measures were implemented
Screening carried out on a routine basis or on an ad hoc basis after a public health event has occurred and its purpose
Description of methods used in entry/exit screening (primary/secondary, questionnaire, body temperature checks, technology used)
Type of technology used (thermometers, scan cameras, or other technology)
After screening, the applied diagnosis protocol (laboratory and clinical examination)
Number of cases identified, and total numbers of travelers screened for a specific timeframe, percentage of persons positive to screening that were diagnosed with the targeted disease, and percentage of persons diagnosed with a different disease from the initially targeted for the specific timeframe (positive and negative predictive values).
General massive screening or targeted screening (e.g., traveler from any affected outbound country, all travelers directly arriving only from affected countries/areas, nationality of travelers, travelers in-transit that have called an affected country/area)
Reporting on the assessment of the public health impact of the entry/exit screening measures or the cost-effectiveness of methods applied
Articles that refer to migrants, refugees, and asylum seekers were excluded, except when related to a global health emergency response.
Articles that refer to screening of diseases such as HIV and tuberculosis that were not part of a global health emergency response.
Articles that described entry or exit screening measures that were part of response to a specific outbreak on board an airplane or a ship and not part of a country response to a global health threat.
Articles for which the full text is not available in English, German, Dutch, or Greek were also excluded, unless the abstract clearly provided the information needed for data extraction.


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 There are now enough phones on the planet to power all of Facebook by the people, for the people, and of the people. So why don't we?
60+ million monthly downloads
Learn why GUN is so neon hot with developers: It's the Pied Piper, Open Source Firebase, Decentralized Dropbox! Backed by FireFox's Mozilla, Billionaires, and the people. We're building the future.
How it works
(1) Sync directly between your devices & friends.
(2) Reclaim ownership and control of your data.
(3) Experience a web that is truly free and open.
Build apps you love
GUN is an ecosystem of modular tools. Graphs take you beyond just immutable hashes, they let you do realtime multiplayer updates on any type of data. SEA gives you the best local-first secure user accounts, but with normal logins and even p2p password resets using 3FA!
70%+ cost savings
AXE will let you deploy without clouds to a decentralized edge CDN for your JAMstack apps. It runs everywhere, even via browsers with WebRTC, using the simple yet powerful HAM "CRDT" conflict resolution algorithm. Meanwhile, DAM let's you do offline mesh networking and RAD stores your data.
For You,
Crafted with love, ♥ by the ERA team and many awesome contributors. Licensed under ZLIB, MIT, or Apache 2.0


Big Bout League: Mary Kom to play for Punjab Royals
by IANSNEW DELHI: Iconic Indian boxer MC Mary Kom will be part of the NCR Punjab Royals team during the Big Bout League while her fierce rival Nikhat Zareen will compete for Odisha Warriors, the organisers announced on Tuesday.
All six teams featuring in the League, starting December 2, will have five men and two women boxers each.
Each team can have three foreign players in their ranks.
World Championship silver medallist Amit Panghal will compete for Adani Gujarat while Pinki Rani will be part of the Bengaluru side.
Rio Olympics bronze medallist Ingrit Valencia was picked by Bombay Bullets in the players' draft held on Tuesday.


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| | Quaternion () |
| | Constructs a Quaternion with all four components being initialized to 0.0f. More...
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| | Quaternion (float xyzw) |
| | Constructor taking a single float argument that will be copied into all four component values. More...
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| | Quaternion (float x, float y, float z, float w) |
| | Constructor taking four separate component values to use for the respective coordinate components of this Quaternion. More...
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| | Quaternion (const Vec2 &xy, const Vec2 &zw) |
| | Constructor that takes two Vec2 arguments and copies their values into the first and second pair of components, respectively. More...
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| | Quaternion (const Vec2 &xy, float z, float w) |
| | Constructor taking a Vec2 for the x and y-component values, then two separate floats for the z and w-coordinate component values. More...
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| | Quaternion (float x, const Vec2 &yz, float w) |
| | Constructor taking a single float for the x-coordinate component, followed by a Vec2 for the y and z-coordinate component values, then another floats for the w-coordinate component. More...
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| |
| | Quaternion (float x, float y, const Vec2 &zw) |
| | Constructor taking two float values for the x and y-coordinate component values, followed by a Vec2 for the z and w-coordinate component values. More...
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| | Quaternion (const Vec3 &xyz, float w) |
| | Constructor taking a single Vec3 for the x, y, and z-coordinate component values, followed by a single float for the w-coordinate component value. More...
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| | Quaternion (float x, const Vec3 &yzw) |
| | Constructor taking a single float for the w-coordinate component value, followed by a single Vec3 for the x, y, and z-coordinate component values. More...
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| |
| | Vec4 () |
| | Constructs a Vec4 with all four components being initialized to 0.0f. More...
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| |
| | Vec4 (float xyzw) |
| | Constructor taking a single float argument that will be copied into all four component values. More...
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| |
| | Vec4 (float x, float y, float z, float w) |
| | Constructor taking four separate component values to use for the respective coordinate components of this Vec4. More...
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| |
| | Vec4 (const Vec2 &xy, const Vec2 &zw) |
| | Constructor that takes two Vec2 arguments and copies their values into the first and second pair of components, respectively. More...
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| |
| | Vec4 (const Vec2 &xy, float z, float w) |
| | Constructor taking a Vec2 for the x and y-component values, then two separate floats for the z and w-coordinate component values. More...
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| |
| | Vec4 (float x, const Vec2 &yz, float w) |
| | Constructor taking a single float for the x-coordinate component, followed by a Vec2 for the y and z-coordinate component values, then another floats for the w-coordinate component. More...
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| |
| | Vec4 (float x, float y, const Vec2 &zw) |
| | Constructor taking two float values for the x and y-coordinate component values, followed by a Vec2 for the z and w-coordinate component values. More...
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| |
| | Vec4 (const Vec3 &xyz, float w) |
| | Constructor taking a single Vec3 for the x, y, and z-coordinate component values, followed by a single float for the w-coordinate component value. More...
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| |
| | Vec4 (float x, const Vec3 &yzw) |
| | Constructor taking a single float for the w-coordinate component value, followed by a single Vec3 for the x, y, and z-coordinate component values. More...
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| |
| | operator Vec2 () const |
| | Explicit cast that converts the given to a Vec2. More...
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| | operator Vec3 () const |
| | Explicit cast that converts the given to a Vec3. More...
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| | operator Quaternion () const |
| | Explicit cast that converts the given to a Quaternion. More...
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static Quaternion | Identity () |
| | The identity quaternion.
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static Vec4 | E0 () |
| | The elementary vector with components <1 0 0 0>
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static Vec4 | E1 () |
| | The elementary vector with components <0 1 0 0>
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static Vec4 | E2 () |
| | The elementary vector with components <0 0 1 0>
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static Vec4 | E3 () |
| | The elementary vector with components <0 0 0 1>
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static Vec4 | E (int i) |
| | The array of elementary 4-component vectors.
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static Vec4 | NegE0 () |
| | The negative form of the first elementary vector (takes the form <-1 0 0 0>)
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static Vec4 | NegE1 () |
| | The negative form of the second elementary vector (takes the form <0 -1 0 0>)
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static Vec4 | NegE2 () |
| | The negative form of the third elementary vector (takes the form < 0 0 -1 0>)
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static Vec4 | NegE3 () |
| | The negative form of the fourth elementary vector (takes the form <0 0 0 -1>)
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static Vec4 | NegE (int i) |
| | The array of negated elementary 4-component vectors.
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static Vec4 | One () |
| | The 4-component vector containing the values <1 1 1 1>
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static Vec4 | NegOne () |
| | The 4-component vector containing the values <-1 -1 -1 -1>
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static Vec4 | Zero () |
| | The 4-component zero vector (takes the form <0 0 0 0>
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(Note that these are not member functions.)
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| Quaternion | QuaternionNormalize (const Quaternion &quat) |
| | Normalize the given quaternion. More...
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| Quaternion | QuaternionMultiply (const Quaternion &q0, const Quaternion &q1) |
| | Multiply the two given Quaternions. More...
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| Quaternion | QuaternionLerp (const Quaternion &qStart, const Quaternion &qEnd, float t) |
| | Linearly interpolate the given quaternions for time t. More...
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| Quaternion | QuaternionFromAxisAngle (const Vec3 &axisVec, float angle) |
| | Produces a quaternion representation of the given axis-angle rotation. More...
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| Quaternion | QuaternionFromEuler (const Vec3 &angles) |
| | Converts the given euler angles to a quaternion. More...
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| Quaternion | QuaternionFromEuler (float pitch, float yaw, float roll) |
| | Converts the given euler angles to a quaternion. More...
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| Vec4 | Vec4Add (const Vec4 &first, const Vec4 &second) |
| | Add the two given Vec4s. More...
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| Vec4 | Vec4Sub (const Vec4 &first, const Vec4 &second) |
| | Subtract the two given Vec4s. More...
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| float | Vec4Dot (const Vec4 &first, const Vec4 &second) |
| | Vec4 dot product. More...
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| Vec4 | Vec4MulScalar (const Vec4 &vec, float factor) |
| | Multiply the components of the given Vec4 by the given scalar. More...
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| Vec4 | Vec4DivScalar (const Vec4 &vec, float divisor) |
| | Divide the components of the given Vec4 by the given scalar. More...
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| Vec4 | Vec4Normalize (const Vec4 &vec) |
| | Normalize the given Vec4. More...
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| Vec4 | Vec4Negate (const Vec4 &vec) |
| | Negate the given Vec4 components. More...
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| template<FloatPrecision precision = FloatPrecision::HIGH> |
| bool | Vec4ApproxEqual (const Vec4 &first, const Vec4 &second) |
| | Determines whether the two Vec4s are approximately equal, based on the given Precision template argument (defaults to HIGH precision). More...
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| bool | Vec4HasNaN (const Vec4 &vec) |
| | Vector 2 has a NaN component value. More...
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| bool | Vec4HasInfinite (const Vec4 &vec) |
| | Determines whether or not the given Vec4 has an infinite value component. More...
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Jurgen Klopp gives Mo Salah injury update ahead of Liverpool clash with Napoli
Salah sat out Liverpool's win over Crystal Palace on Saturday following ankle issues as the Reds stayed eight points clear at the top of the Premier League
by Irishmirror.ieJurgen Klopp says Mo Salah will be fit for Liverpool's Champions League clash with Napoli at Anfield on Wednesday.
Salah was left on the bench as Liverpool won 2-1 away to Crystal Palace on Saturday to maintain their eight-point lead at the top of the Premier League.
The Egyptian forward has been hampered by an ankle injury recently after he was caught by Leicester City's Hamza Choudhury six weeks ago.
He was not needed against Palace as Roberto Firmino's late winner earned Liverpool the three points after Wilfried Zaha had cancelled out Sadio Mane's opener.
But Liverpool boss Klopp said Salah was fit for the Selhurst Park clash, and will be back in the starting line-up as the Reds face Napoli looking for the win that would secure top spot in Group E.
“Mo is all good,” said Klopp. “He couldn't train for nine days.
“He was with Egypt, went home, trained 60-70% the day before yesterday, and was first time 100% yesterday.
“We had to make the decision whether to start him or not. We didn't start him, we were about to bring him on when we scored the winner (with five minutes remaining).
“So we could rest him today. That's really good. Wednesday he will be back.”
Fabinho will miss Saturday's Premier League meeting with Brighton and Hove Albion through suspension having picked up his fifth top-flight booking of the campaign at Selhurst Park.


Gitting Good (zing)
This week I dove into the awesome world of git and version control. Version control is the ability to track, review, and make changes to a file without overriding any previous versions. Git is the software that enables version control. GitHub, an online home for your various coding repositories, makes it possible for you or other authors to work on various versions of the same file.
Version control is beneficial for many reasons. If you have many contributors to a project, version control allows each of them to work on separate copies (clones) of the file or files without affecting any other contributors' work, or the master file. Version control also allows you to review any previously made changes, updates, or improvements made by yourself or any other contributors. Debugging, or hunting for any faults within the code would be fairly difficult without version control, especially in large applications.
Git is helpful in version control due to its ability to track changes on the local level. You may be starting with a clone of someone else's code, or some sort of master source living remotely on GitHub. Git will allow you to work on the code locally, on other branches, which will later allow you to make comparisons to previous versions (other branches) of code living remotely on GitHub.
GitHub is ideal for managing all of these different versions of files and branches. While you are working on files on the local level, the master, or most updated version of the code (which is hopefully working) lives on GitHub, untouched. GitHub allows multiple users to clone repositories to their computer, or fork a repository over to their own account, allowing them to work on someone else's master repository, but without making any contributions to the original. Jim and Steve may be working on the same code, but if Jim is done and wants no more changes, Steve may fork Jim's repository, and make all the changes he wants, as Steve will essentially have his own copy of Jim's master. Once the master code is ready to be updated, any changes made on the local level can be pushed to GitHub, reviewed via a Pull Request, and merged after review.
Git and GitHub are fairly straightforward, although I know I'll need a lot of practice with both before it's second nature. I'm getting the sense that this is the route through which all code is updated. I'll keep forging ahead to see...


EBD - Easton Bible DIctionary
Bar-jona
BAR-JONA
"BAR-JONA "son of Jonah, the patronymic of Peter (
Matthew 16:17
;
John 1:42
), because his father’s name was Jonas. (See PETER.)
"BAR-JONA "son of Jonah, the patronymic of Peter (Matthew 16:17; John 1:42), because his father’s name was Jonas. (See PETER.)


Each discipline comes with its own certified professionals.
Devops is the Solution
The industry’s most secure and comprehensive enterprise-grade container platform based on industry standards, Docker and Kubernetes.
Let your developers do what they do best – code
Offering a choice of programming languages and frameworks, databases and development tools allows your developers to get the job done, using the languages and tools they already know and trust.
Openshift automates the provisioning, management and scaling of applications so that you can focus on writing the code for your business, startup, or next big idea.
Self service On-demand application stack
Develop your application with the language and tools you want.

Streamline the Delivery Process
OpenShift enables more than just deployment - it also gives you the tools you need to manage your entire development lifecycle
Flexible Capacity
With your application running in the cloud you can monitor, debug, and tune on the fly
Heavy duty tools
Powerful command line client tools and a web management console to launch and manage your applications.
Support and Services
Everything you need to become an expert with OpenShift
Product Help
24 x7 support
Training
Professional Service
Frameworks Available in Openshift
Java, Node.js, Python, Ruby, PHP, Perl,
MySQL, Postgres, MongoDB
BPM,FUSE,JENKINS, etc
Messaging, ESB,Push,MBAAS etc
Apps
OpenShift and native .Net
OpenShift will be providing a .NET runtime distributed and supported by Red Hat and Microsoft
Will start with version 5 of the core framework
Version parity goal of 60 days.
Openshift features
Value
Architecture
.
Benefits
Benefits
Customers
RBS
KEYBANK
CISCO
FICO
AMADEUS
CA
BOEING
T-SYSTEMS
Competetion
Ashish
Ashish
Why Kubernetes?
#1 Project on github for container orchestration community wise.
Google has invented it and using it from 15 years
Redhat is #2 contributor to Kubernetes
Powers the infrastructure behind Gmail, YouTube, Google Search, Google Compute Engine
Kubernetes enjoyed more than 15 years of active development and heavy production use
Docker Swarm
It's easy to use
Works well with docker.
Not proven in big environments
Have issues with networking and persistent storage.
Community is small, docker controls most of thecontribution/community
Market favours less concentration of power at the orchestration layer of containers
Working with Microsoft Team Foundation Server(TFS)
TFS is working with Jenkins for building the application
Openshift also uses Jenkins for building the application


Human
In the reckonings of most worlds, humans are the youngest of the common races, late to arrive on the world scene and short-lived in comparison to dwarves, elves, and dragons. Perhaps it is because of their shorter lives that they strive to achieve as much as they can in the years they are given. Or maybe they feel they have something to prove to the elder races, and that's why they build their mighty empires on the foundation of conquest and trade. Whatever drives them, humans are the innovators, the achievers, and the pioneers of the worlds.
Elf
Elves are a magical people of otherworldly grace, living in the world but not entirely part of it. they live in places of etheral beauty, in the midst of ancient forests or in silvery spires glittering with faerie light, where soft music drifts through the air and gentle fragrances waft on the breeze. Elves love nature and magic, art and artistry, music and poetry, and the good things of the world.
Dwarf
Kingdoms rich in ancient grandeur, halls carved into the roots of mountains, the echoing of picks and hammers in deep mines and blazing forges, a commitment to clan and tradition, and a burning hatred of goblins and orcs--these common threads unite all dwarves.
Halfling
The comforts of home are the goals of most halflings' lives: a place to settle in peace and quiet, far from marauding monsters and clashing armies; a blazing fire and a generous meal; fine drink and fine conversation. Though some halflings live out their days in remote agricultural communities, others form nomadic bands that travel constantly, lured by the open road and the wide horizon to discover the wonders of new lands and people. But even these wanderers love peace, food, hearth, and home, though home might be a wagon jostling along an dirt road or a raft floating downriver.
Rogue
Rogues rely on skill, stealth, and their foes' vulnerabilities to get the upper hand in any situation. They have a knack for finding the solution to just about any problem, demonstrating a resourcefulness and versatility that is the cornerstone of any successful adventuring party.
Fighter
Perhaps the most diverse class of characters in the worlds of Dungeons & Dragons. Questing knights, conquering overlords, royal champions, elite foot soldiers, hardened mercenaries, and bandit kings--as fighters, they all share an unparalleled mastery with weapons and armor, and a thorough knowledge of the skills of combat. And they are well aquainted with death, both meting it out and staring it defiantly in the face.
Wizard
Wizards are supreme magic-users, defined and united as a class by the spells they cast. Drawing on the subtle weave of magic that permeates the cosmos, wizards cast spells of explosive fire, arcing lightning, subtle deception, and brute-force mind control. Their magic conjures monsters from other planes, glimpses the future, or turns slain foes into zombies. Their mightiest spells change one substance into another, call meteors down from the sky, or open portals to other worlds.
Ranger
Far from the bustle of cities and towns, past the hedges that shelter the most distant farms from the terrors of the wild, amid the dense-packed trees of trackless forests and across wide and empty plains, rangers keep their unending watch.


Are doublets detected via similarity to artificial doublets valid?
In this post I’m going to briefly explore the validity of a specific type of doublet detection method, by assessing the validity of putative doublets by a mode not explored in the method’s paper. The method of doublet detection I am curious about are doublets detected based on similarity to artificially generated doublets. Multiple variants of this method have been published. For now, I am going to focus on one method called Scrublet. (Scrublet, DoubletFinder)
Detecting doublets by doublet simulation:
This method is quite simple. Select random pairs of cell barcodes from an experiment. Then generate an artificial profile from those cell barcodes by combining the counts from one cell barcode and the count from the other. (Scrublet allows for subsampling of the UMIs from the artificially generated doublets, but by default there is no UMI subsampling. UMI subsampling may be useful since creating artificial doublets without subsampling could introduce bias towards high UMI cell barcodes.) This new profile represents a single simulated doublet. This process is repeated enough times to span the possible combinations of cell doublets. For example, if there are 5 clusters representing 5 unique cell types, it would be important to generate artificial doublets arising from each possible cluster pairing. That way, the artificial doublets will iterate all possible combinations of doublets arising from droplets with different cell types. Once artificial doublets are generated the next step is to identify the cell barcodes which are most similar to the artificial profiles. When viewing these doublets in a low-dimensional projection, they usually appear as an intermediate cluster between two clusters.
Detecting doublets by TCR and BCR sequence presence:
This method assumes that the presence of a TCR and BCR sequence for a given barcode is not biologically reasonable. Thus, if a TCR and BCR library identify sequences each with the same barcode, then it indicates something went wrong and such barcodes should be removed. These barcodes are the barcodes which are found in the BCR filtered contigs and the TCR filtered contigs.
Dataset and results
Using this 10x Genomics melanoma public dataset I ran Scrublet using standard parameters and a short script to detect doublets using the validation method described above. The scrublet method detected 160 doublets while the validation method detected 168 doublets. The intersection of these sets of barcodes was 117. I found this to be much higher than I had expected, and I suppose that’s a good thing.
The image below reiterates the overlap between the two methods of doublet detection. There seems to be one main region in the top left (cloud of red) which both methods classify as full of doublets. Around UMAP 1 coordinate 7 and UMAP 2 coordinate 2 there are a couple small clusters with a few cell barcodes sprinkled in between. Scrublet labels some of them as doublets but the validation method does not. I think this brings up an important limitation in the validation method. Because doublets are detected based on the presence of a TCR and BCR contig, only T cell and B cell can be detected. This also raises important questions about what the expected upper limit for overlap between the two methods putative doublets is, since it must be below one. According to Biolegend, the expected cell frequencies for PBMCs are 60-80% T cells and 5-15% B cells with natural killer cells, monocytes, and dendritic cells making up the remaining population. Given melanoma datasets are less common than PBMCs and possibly more variable, I’d like to redo this analysis on a more common sample such as PBMCs. This would allow further confidence in validation because when the underlying cell frequencies are known, the hypothetical upper bound on putative doublet across methods can be better compared.


--- layout: default nav: attributes > ic-include ---
ic-global-include
- The Global Include AttributeThe ic-global-include
attribute tells Intercooler to include additional parameters in
all requests that it makes to the server, allowing you to pass up additional UI information to the server.
The value of the ic-global-include
attribute can either be a CSS/JQuery element selector of elements
to include in the request or a JSON object of name/value pairs to include. If it is a JSON object, it must
satisfy the jQuery parseJSON() requirements.
This attribute may be placed on any element in the document and will be included with all intercooler requests.
ic-global-include
has no effect on dependencies.
In this example, the input specifies it should be included on all requests to the server.

Please Enter A Name...
 <input id="name" name="name" ic-global-include="#name"/> <button ic-post-to="/update">Upload Name</button>
Note that the response to the button click is the content to swap in for the div, not the button.


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Replaces
seq(seq.size - 1)
or
seq.apply(seq.size - 1)
to
seq.last
if
seq
is not an instance of IndexedSeq