Diagnostics
There are several options for diagnosing issues with Durable Functions. Some of these options are the same for regular functions and some of them are unique to Durable Functions. This article goes into detail about what options are available.
Logging
The Durable Functions host extension automatically emits semi-structured logs as it executes orchestrator and activity functions. These logs live alongside the application logs and can be used to monitor the behavior of your orchestrations. To give an example, consider the following orchestrator function:
[FunctionName("E1_HelloSequence")]
public static async Task<List<string>> Run(
[OrchestrationTrigger] DurableOrchestrationContext context)
{
var outputs = new List<string>();
outputs.Add(await context.CallFunctionAsync<string>("E1_SayHello", "Tokyo"));
outputs.Add(await context.CallFunctionAsync<string>("E1_SayHello", "Seattle"));
// returns ["Hello Tokyo!", "Hello Seattle!"]
return outputs;
}
Below are the log statements that a single execution emits into the host logs. It includes both logging from the host and from Durable Function triggers. Because of the replay behavior of the Durable Task Framework dispatcher, you will see several redundant log entries for replayed actions. One one hand this can be useful to understand the replay behavior of the core engine. On the other hand, this can be noisy and make it hard to understand the logical flow of the orchestration.
17:41:04.555 [DF] 4f48: Starting function 'E1_HelloSequence', version ''. IsReplay: False. Input: (4 bytes) 17:41:04.571 Executing 'Functions.E1_HelloSequence' (Reason='', Id=968286d0-d695-425f-af9e-8e5d6992340a) 17:41:04.571 Function started (Id=968286d0-d695-425f-af9e-8e5d6992340a) 17:41:04.711 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: False. 17:41:04.899 [DF] 4f48: Starting function 'E1_SayHello', version ''. IsReplay: False. Input: (9 bytes) 17:41:04.899 Executing 'Functions.E1_SayHello' (Reason='', Id=b35b27b9-a710-487e-abbc-34ebc60ca6e0) 17:41:04.915 Function started (Id=b35b27b9-a710-487e-abbc-34ebc60ca6e0) 17:41:04.915 Function completed (Success, Id=b35b27b9-a710-487e-abbc-34ebc60ca6e0, Duration=7ms) 17:41:04.915 Executed 'Functions.E1_SayHello' (Succeeded, Id=b35b27b9-a710-487e-abbc-34ebc60ca6e0) 17:41:04.915 [DF] 4f48: Function 'E1_SayHello', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (14 bytes) 17:41:05.008 [DF] 4f48: Starting function 'E1_HelloSequence', version ''. IsReplay: True. Input: (4 bytes) 17:41:05.008 Executing 'Functions.E1_HelloSequence' (Reason='', Id=dd5f2f4a-48f0-4f45-aad8-2416a9c44b12) 17:41:05.008 Function started (Id=dd5f2f4a-48f0-4f45-aad8-2416a9c44b12) 17:41:05.008 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: True. 17:41:05.008 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: False. 17:41:05.024 [DF] 4f48: Starting function 'E1_SayHello', version ''. IsReplay: False. Input: (11 bytes) 17:41:05.024 Executing 'Functions.E1_SayHello' (Reason='', Id=17b1dd65-07e7-46db-8133-6c93a05962ed) 17:41:05.024 Function started (Id=17b1dd65-07e7-46db-8133-6c93a05962ed) 17:41:05.024 Function completed (Success, Id=17b1dd65-07e7-46db-8133-6c93a05962ed, Duration=0ms) 17:41:05.024 Executed 'Functions.E1_SayHello' (Succeeded, Id=17b1dd65-07e7-46db-8133-6c93a05962ed) 17:41:05.024 [DF] 4f48: Function 'E1_SayHello', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (16 bytes) 17:41:05.055 [DF] 4f48: Starting function 'E1_HelloSequence', version ''. IsReplay: True. Input: (4 bytes) 17:41:05.055 Executing 'Functions.E1_HelloSequence' (Reason='', Id=4c5aa70a-e1e7-4ccc-9b35-4ea778aa1e61) 17:41:05.055 Function started (Id=4c5aa70a-e1e7-4ccc-9b35-4ea778aa1e61) 17:41:05.055 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: True. 17:41:05.055 [DF] 4f48: Function 'E1_SayHello', version '' completed. ContinuedAsNew: False. IsReplay: True. Output: (replayed) 17:41:05.055 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: True. 17:41:05.055 Function completed (Success, Id=4c5aa70a-e1e7-4ccc-9b35-4ea778aa1e61, Duration=1ms) 17:41:05.055 Executed 'Functions.E1_HelloSequence' (Succeeded, Id=4c5aa70a-e1e7-4ccc-9b35-4ea778aa1e61) 17:41:05.055 [DF] 4f48: Function 'E1_HelloSequence', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (33 bytes)
There is a lot here, but there are a few important things to notice:
- Per the host logs, E1_HelloSequence is started three times and completed once. This is an artifact of the replay behavior.
- Per the host logs, E1_SayHello is executed exactly two times. This is expected because it is called twice in the source code and activity functions are never replayed.
- Each of the Durable Functions trigger logs are prefixed with
[DF]
to distinguish it from host logs. - There is an
IsReplay
flag in each of the traces with a value ofTrue
orFalse
indicating whether a trace was generated as part of replay execution.
To filter out the replay actions to get the logical flow of execution, you can use a simple grep
or findstr
expression to filter out all the replay traces (e.g. findstr /C:"IsReplay: False"
):
17:41:04.555 [DF] 4f48: Starting function 'E1_HelloSequence', version ''. IsReplay: False. Input: (4 bytes) 17:41:04.711 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: False. 17:41:04.899 [DF] 4f48: Starting function 'E1_SayHello', version ''. IsReplay: False. Input: (9 bytes) 17:41:04.915 [DF] 4f48: Function 'E1_SayHello', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (14 bytes) 17:41:05.008 [DF] 4f48: Scheduling function 'E1_SayHello', version ''. reason: E1_HelloSequence. IsReplay: False. 17:41:05.024 [DF] 4f48: Starting function 'E1_SayHello', version ''. IsReplay: False. Input: (11 bytes) 17:41:05.024 [DF] 4f48: Function 'E1_SayHello', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (16 bytes) 17:41:05.055 [DF] 4f48: Function 'E1_HelloSequence', version '' completed. ContinuedAsNew: False. IsReplay: False. Output: (33 bytes)
This reduced view more closely resembles what you would expect when looking at the source code.
Note that for the best monitoring and diagnostics experience, it is recommended that you enable Application Insights integration. This will allow you to store execution logs for longer periods of time and do more efficient query and analysis.
Tip
When emitting log statements in the orchestrator function, if you want to only log on non-replay execution, you can write a conditional expression to log only if IsReplaying is equal to false
.
Note
The monitoring tab in the Functions portal and the WebJobs dashboard of the Kudu website show all durable function executions, including replays. Each replay is considered its own function invocation.
Debugging
Azure Functions supports debugging function code directly and that same support carries forward to Durable Functions, whether running in Azure or locally. However, there are a few behaviors to be aware of when debugging:
- Replay: Orchestrator functions regularly replay when new inputs are received. This means a single logical execution of an orchestrator function can result in hitting the same breakpoint multiple times, especially if it is set early in the function code.
- Await: Whenever an
await
is encountered, it yields control back to the Durable Task Framework dispatcher. If this is the first time a particularawait
has been encountered, the associated task is never resumed. Because the task never resumes, stepping over the await (e.g. F10 in Visual Studio) is not actually possible. Stepping over only works when a task is being replayed. - Messaging Timeouts: Durable Functions internally uses queue messages to drive execution of both orchestrator functions and activity functions. In a multi-VM environment, breaking into the debugging for extended periods of time could cause a another VM to pick up the message, resulting in duplicate execution. This behavior exists for regular queue-trigger functions as well, but is important to point out in this context since the queues are an implementation detail.
Tip
When setting breakpoints, if you want to only break on non-replay execution, you can set a conditional breakpoint which breaks only if IsReplaying is equal to false
.
Storage
By default Durable Functions stores state in Azure Storage. This means you can inspect the state of your orchestrations using tools such as Microsoft Azure Storage Explorer.
This is useful for debugging because you see exactly what state an orchestration may be in. Messages in the queues can also be examined to learn what work is pending (or stuck in some cases).
Warning
While it's easy and convenient to see orchestration state in Azure Storage, you should not take any dependency on the storage entities or schemas as the specifics of their usage may change as the Durable Functions extension evolves.


---
layout: post
title: Adding a tag cloud to blogger
categories:
- tags
- blogger
- tag cloud
- widget
---
I've been thinking about neat ways to make blogs approach research articles; about how to make some of the core features of a journal be more apparent in a blog, which has led me to think about blogger widgets.  Hopefully you can see that it works pretty well. Neat plugin.
Hopefully I'll be able to dissect this to put in place some of the ideas I have regarding journals.


|
CS Dungeon
1.0a
A simple game made by amateurs
|
AnimationController integrates physics and animation. More...
Public Attributes | |
| float | maxSpeed = 7 |
| Max horizontal speed. More... | |
| float | jumpTakeOffSpeed = 7 |
| Max jump velocity More... | |
| Vector2 | move |
| Used to indicated desired direction of travel. More... | |
| bool | jump |
| Set to true to initiate a jump. More... | |
| bool | stopJump |
| Set to true to set the current jump velocity to zero. More... | |
| Public Attributes inherited from Platformer.Mechanics.KinematicObject | |
| float | minGroundNormalY = .65f |
| The minimum normal (dot product) considered suitable for the entity sit on. More... | |
| float | gravityModifier = 1f |
| A custom gravity coefficient applied to this entity. More... | |
| Vector2 | velocity |
| The current velocity of the entity. More... | |
Protected Member Functions | |
| virtual void | Awake () |
| override void | ComputeVelocity () |
| Protected Member Functions inherited from Platformer.Mechanics.KinematicObject | |
| virtual void | OnEnable () |
| virtual void | OnDisable () |
| virtual void | Start () |
| virtual void | Update () |
| virtual void | FixedUpdate () |
Additional Inherited Members | |
| Public Member Functions inherited from Platformer.Mechanics.KinematicObject | |
| void | Bounce (float value) |
| Bounce the object's vertical velocity. More... | |
| void | Bounce (Vector2 dir) |
| Bounce the objects velocity in a direction. More... | |
| void | Teleport (Vector3 position) |
| Teleport to some position. More... | |
| Protected Attributes inherited from Platformer.Mechanics.KinematicObject | |
| Vector2 | targetVelocity |
| Vector2 | groundNormal |
| Rigidbody2D | body |
| ContactFilter2D | contactFilter |
| RaycastHit2D[] | hitBuffer = new RaycastHit2D[16] |
| Static Protected Attributes inherited from Platformer.Mechanics.KinematicObject | |
| const float | minMoveDistance = 0.001f |
| const float | shellRadius = 0.01f |
| Properties inherited from Platformer.Mechanics.KinematicObject | |
| bool | IsGrounded [get] |
| Is the entity currently sitting on a surface? More... | |
AnimationController integrates physics and animation.
It is generally used for simple enemy animation.
|
protectedvirtual |
|
protectedvirtual |
Reimplemented from Platformer.Mechanics.KinematicObject.
| bool Platformer.Mechanics.AnimationController.jump |
Set to true to initiate a jump.
| float Platformer.Mechanics.AnimationController.jumpTakeOffSpeed = 7 |
Max jump velocity
| float Platformer.Mechanics.AnimationController.maxSpeed = 7 |
Max horizontal speed.
| Vector2 Platformer.Mechanics.AnimationController.move |
Used to indicated desired direction of travel.
| bool Platformer.Mechanics.AnimationController.stopJump |
Set to true to set the current jump velocity to zero.


Nurikabe is a hobby project and is not complete yet. My goal is to add 100 puzzles each in the easy (5x5), medium (7x7) and difficult (9x9) category.
If you find any issues with the solutions or want to suggest any changes or updates to the code, please contact me at aditya.shevade[at]gmail.com.
© Aditya Shevade · 2015
Basic rules of Nurikabe are pretty simple and can be summed up in the following key points:
For more detailed explanation of how to play this game, please look here.
© Aditya Shevade · 2015


The image above is a quick introduction on how the application works.
Written in Python, and running from any machine with Python 2.7 and the necessary dependencies available, it controls remotely the robot, making it present the PowerPoint: Pepper will tell the story found in the presentation notes while gesturing and expressing emotions.
As extra functionalities, the robot is also gifted with extra behaviours, triggered by the user by adding in the presentation notes [bracketed] instructions or emoticons. Thanks to that, Pepper will also be able to show emotions during a sentence or point in a determined zone of the screen to attract the attention there.
To perform those extra functionalities, a PowerPoint add-in is included with the app, letting the designer export the presentation in a way the Presenter Application can understand.


public class Pair<T1,T2> extends java.lang.Object implements java.lang.Comparable<Pair<T1,T2>>, java.io.Serializable, PrettyLoggable
| Modifier and Type | Class and Description |
|---|---|
static class |
Pair.ByFirstPairComparator<T1,T2>
Compares a
Pair to another Pair according to the first object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
static class |
Pair.ByFirstReversePairComparator<T1,T2>
Compares a
Pair to another Pair according to the first object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
static class |
Pair.BySecondPairComparator<T1,T2>
Compares a
Pair to another Pair according to the second object of the pair only
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
static class |
Pair.BySecondReversePairComparator<T1,T2>
Compares a
Pair to another Pair according to the second object of the pair only in decreasing order
This function will work providing
the first element of the Pair is comparable, otherwise will throw a
ClassCastException |
| Modifier and Type | Field and Description |
|---|---|
T1 |
first
Direct access is deprecated.
|
T2 |
second
Direct access is deprecated.
|
| Modifier and Type | Method and Description |
|---|---|
java.util.List<java.lang.Object> |
asList() |
int |
compareTo(Pair<T1,T2> another)
Compares this
Pair to another object. |
boolean |
equals(java.lang.Object o) |
T1 |
first() |
int |
hashCode() |
static Pair<java.lang.String,java.lang.String> |
internedStringPair(java.lang.String first,
java.lang.String second)
Returns an MutableInternedPair where the Strings have been interned.
|
static <X,Y> Pair<X,Y> |
makePair(X x,
Y y)
Returns a Pair constructed from X and Y.
|
void |
prettyLog(Redwood.RedwoodChannels channels,
java.lang.String description)
Pretty logs the current object to specific Redwood channels.
|
static Pair<java.lang.String,java.lang.String> |
readStringPair(java.io.DataInputStream in)
Read a string representation of a Pair from a DataStream.
|
void |
save(java.io.DataOutputStream out)
Write a string representation of a Pair to a DataStream.
|
T2 |
second() |
void |
setFirst(T1 o) |
void |
setSecond(T2 o) |
static Pair<java.lang.String,java.lang.String> |
stringIntern(Pair<java.lang.String,java.lang.String> p)
If first and second are Strings, then this returns an MutableInternedPair
where the Strings have been interned, and if this Pair is serialized
and then deserialized, first and second are interned upon
deserialization.
|
java.lang.String |
toString() |
public T1 first
public T2 second
public T1 first()
public T2 second()
public void setFirst(T1 o)
public void setSecond(T2 o)
public java.lang.String toString()
toString
in class java.lang.Object
public boolean equals(java.lang.Object o)
equals
in class java.lang.Object
public int hashCode()
hashCode
in class java.lang.Object
public java.util.List<java.lang.Object> asList()
public static Pair<java.lang.String,java.lang.String> readStringPair(java.io.DataInputStream in)
String
.public static <X,Y> Pair<X,Y> makePair(X x, Y y)
public void save(java.io.DataOutputStream out)
toString()
method is called on each of the pair
of objects and a String
representation is written.
This might not allow one to recover the pair of objects unless they
are of type String
.public int compareTo(Pair<T1,T2> another)
Pair
to another object.
If the object is a Pair
, this function will work providing
the elements of the Pair
are themselves comparable.
It will then return a value based on the pair of objects, where
p > q iff p.first() > q.first() ||
(p.first().equals(q.first()) && p.second() > q.second())
.
If the other object is not a Pair
, it throws a
ClassCastException
.compareTo
in interface java.lang.Comparable<Pair<T1,T2>>
another
- the Object
to be compared.0
if the argument is a
Pair
equal to this Pair
; a value less than
0
if the argument is a Pair
greater than this Pair
; and a value
greater than 0
if the argument is a
Pair
less than this Pair
.java.lang.ClassCastException
- if the argument is not a
Pair
.Comparable
public static Pair<java.lang.String,java.lang.String> stringIntern(Pair<java.lang.String,java.lang.String> p)
p
- A pair of Stringspublic static Pair<java.lang.String,java.lang.String> internedStringPair(java.lang.String first, java.lang.String second)
Note: I put this in thinking that its use might be
faster than calling x = new Pair(a, b).stringIntern()
but it's not really clear whether this is true.
first
- The first objectsecond
- The second objectpublic void prettyLog(Redwood.RedwoodChannels channels, java.lang.String description)
prettyLog
in interface PrettyLoggable
channels
- the channels which should be logged to -- all logging calls should
use logging methods on the channels (e.g. channels.log(), etc.)description
- The description of the object. It will potentially identify the
object's functional role or (failing that) its class. This is
typically used as a track name surrounding the contents of this
object.


|
SideCar
|
Run-time configuration parameters that describe the radar. More...
#include </Users/howes/src/sidecar/Messages/RadarConfig.h>
Static Public Member Functions | |
| static Logger::Log & | Log () |
| Log device for RadarConfig messages. More... | |
| static bool | SetConfigurationFilePath (std::string path) |
| Use a new file path for radar configuration values. More... | |
| static bool | Load (const QDomElement &config) |
| Load in a new radar configuration from an XML DOM node. More... | |
| static void | Load (const std::string &name, uint32_t gateCountMax, uint32_t shaftEncodingMax, double rotationRate, double rangeMin, double rangeMax, double beamWidth) |
| Load in new radar configuration from raw values. More... | |
| static const std::string & | GetName () |
| Obtain the current radar configuration name. More... | |
| static uint32_t | GetGateCountMax () |
| Obtain the current max gate count value. More... | |
| static uint32_t | GetShaftEncodingMax () |
| Obtain the current max shaft encoding value. More... | |
| static double | GetRotationRate () |
| Obtain the current rotation rate value. More... | |
| static double | GetRangeMin_deprecated () |
| Obtain the current min range value, the range value associated with the first sample. More... | |
| static double | GetRangeMax () |
| Obtain the current max range value, the range value associated with the gateCountMax_ - 1 sample. More... | |
| static double | GetRangeFactor_deprecated () |
| Obtain the multiplier used to convert from gate sample index values to a range value in kilometers. More... | |
| static double | GetBeamWidth () |
| Obtain the current beam width value. More... | |
| static uint32_t | GetRadialCount () |
| Obtain the number radials in one revolution of the radar. More... | |
| static double | GetRangeAt_deprecated (uint32_t gateIndex) |
| Obtain the range value for a gate sample index. More... | |
| static double | GetAzimuth (uint32_t shaftEncoding) |
| Obtain an azimuth reading in radians from a shaft encoding value. More... | |
| static double | GetRotationDuration () |
| Obtain the duration in seconds of one rotation of the radar. More... | |
| static double | GetSiteLatitude () |
| Obtain the latitude (north/south) of the site location. More... | |
| static double | GetSiteLongitude () |
| Obtain the longitude (east/west) of the site location. More... | |
| static double | GetSiteHeight () |
| Obtain the height of the site location. More... | |
Run-time configuration parameters that describe the radar.
Since there is only one radar configuration in use at a time, this class supports no instances; all methods and attributes belong to the class.
The RadarConfig 'instance' relies on data found in an XML configuration file. The internal Initializer class looks in the following locations (where SIDECAR_CONFIG and SIDECAR are process environment variables):
The above locations are ordered by priority – a configuration file found via ${SIDECAR_CONFIG} will override one the could be found via ${SIDECAR}/data/configuration.xml.
NOTE: do not inline the accessor methods below. We need to execute code in RadarConfig.cc in order to make sure that the static attributes initialize properly; C++ does not guarantee initialization of class (static) attributes until code containing the attribubtes first executes.
NOTE: the rationale for having RadarConfig done this way versus a singleton is lost to history. Perhaps backwards capability with some other system?
Definition at line 37 of file RadarConfig.h.
|
inlinestatic |
Obtain an azimuth reading in radians from a shaft encoding value.
| shaftEncoding | value to convert |
Definition at line 151 of file RadarConfig.h.
Referenced by SideCar::Messages::PRIMessage::getAzimuthEnd(), and SideCar::Messages::PRIMessage::getAzimuthStart().
|
static |
Obtain the current beam width value.
Definition at line 108 of file RadarConfig.cc.
Referenced by PRIInfoInputTask::deliverDataMessage(), SideCar::Messages::PRIMessage::getAzimuthEnd(), and SideCar::GUI::PRIEmitter::MainWindow::openFile().
|
static |
Obtain the current max gate count value.
Definition at line 90 of file RadarConfig.cc.
|
static |
Obtain the current radar configuration name.
Definition at line 87 of file RadarConfig.cc.
|
inlinestatic |
Obtain the number radials in one revolution of the radar.
This is an upper bound.
Definition at line 134 of file RadarConfig.h.
|
inlinestatic |
Obtain the range value for a gate sample index.
| gateIndex | value to convert |
Definition at line 142 of file RadarConfig.h.
|
static |
Obtain the multiplier used to convert from gate sample index values to a range value in kilometers.
Definition at line 105 of file RadarConfig.cc.
Referenced by SideCar::Messages::PRIMessage::RIUInfo::load().
|
static |
Obtain the current max range value, the range value associated with the gateCountMax_ - 1 sample.
Definition at line 102 of file RadarConfig.cc.
Referenced by SideCar::GUI::PRIEmitter::MainWindow::openFile().
|
static |
Obtain the current min range value, the range value associated with the first sample.
Definition at line 99 of file RadarConfig.cc.
Referenced by SideCar::Messages::PRIMessage::RIUInfo::load(), and SideCar::GUI::PRIEmitter::MainWindow::openFile().
|
inlinestatic |
Obtain the duration in seconds of one rotation of the radar.
Definition at line 158 of file RadarConfig.h.
|
static |
Obtain the current rotation rate value.
Definition at line 96 of file RadarConfig.cc.
|
static |
Obtain the current max shaft encoding value.
Definition at line 93 of file RadarConfig.cc.
Referenced by SideCar::Messages::CircularBuffer::CircularBuffer(), SideCar::Messages::PRIMessage::getAzimuthEnd(), SideCar::GUI::PRIEmitter::MainWindow::openFile(), and SideCar::Algorithms::SectorMask::shutdown().
|
static |
Obtain the height of the site location.
Definition at line 129 of file RadarConfig.cc.
Referenced by SideCar::Messages::TSPI::GetMetaTypeInfo().
|
static |
Obtain the latitude (north/south) of the site location.
Definition at line 123 of file RadarConfig.cc.
Referenced by SideCar::Messages::TSPI::GetMetaTypeInfo(), and SideCar::GUI::RangeMap::RangeMap().
|
static |
Obtain the longitude (east/west) of the site location.
Definition at line 117 of file RadarConfig.cc.
Referenced by SideCar::Messages::TSPI::GetMetaTypeInfo(), and SideCar::GUI::RangeMap::RangeMap().
|
static |
Load in a new radar configuration from an XML DOM node.
| config | the DOM node containing the configuration |
Definition at line 177 of file RadarConfig.cc.
|
static |
Load in new radar configuration from raw values.
| name | name of the configuration |
| gateCountMax | max number of gate samples in a message |
| shaftEncodingMax | max shaft encoding value |
| rotationRate | expected rotation rate of the radar in RPMs |
| rangeMin | range value of first gate sample in kilometers |
| rangeMax | range value of last gate sample in kilometers |
| beamWidth | width of radar beam for one PRI |
Definition at line 141 of file RadarConfig.cc.
References Log(), LOGDEBUG, and LOGWARNING.
|
static |
Log device for RadarConfig messages.
Definition at line 80 of file RadarConfig.cc.
References Logger::Log::Find().
Referenced by Load().
|
static |
Use a new file path for radar configuration values.
| path | file path to use |
Definition at line 135 of file RadarConfig.cc.
Referenced by PRIInfoInputTask::deliverDataMessage(), PRIChunkerOutputTask::deliverDataMessage(), and SideCar::GUI::PRIEmitter::MainWindow::openFile().


UnicornBattle
New Pitch
Global Ranking (coming soon!)
UnicornBattle
works only in
Google Chrome
.
1
Insert the
YouTube URL
from your pitch in the box below
GO!

Your
unicornibility
score is shown over the rainbow.
....
(c)
Originally created at TechCrunch Berlin Hackathon 2017. Updates at
Github
.
Team


{% extends "base.html" %} {% block title %}Streams{% endblock %} {% block body %}
Here are all the available streams for you:


Have a perfect overview of all your conversations! Favourite, archive, filter and use search to manage your dialogues
Your Listing
Manage existing listing, create new ones, list and unlist them in one click! Instant access with flexible filtering and search!
Your Profile
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|
Pebble Foundation Classes
0.2.0
C++ for Pebble
|
Bi-directional communication between phone apps and Pebble watchapps. More...
Macros | |
| #define | APP_MESSAGE_INBOX_SIZE_MINIMUM 124 |
| #define | APP_MESSAGE_OUTBOX_SIZE_MINIMUM 636 |
Typedefs | |
| typedef void(* | AppMessageInboxReceived) (DictionaryIterator *iterator, void *context) |
| typedef void(* | AppMessageInboxDropped) (AppMessageResult reason, void *context) |
| typedef void(* | AppMessageOutboxSent) (DictionaryIterator *iterator, void *context) |
| typedef void(* | AppMessageOutboxFailed) (DictionaryIterator *iterator, AppMessageResult reason, void *context) |
Enumerations | |
| enum | AppMessageResult { APP_MSG_OK = 0, APP_MSG_SEND_TIMEOUT = 1 << 1, APP_MSG_SEND_REJECTED = 1 << 2, APP_MSG_NOT_CONNECTED = 1 << 3, APP_MSG_APP_NOT_RUNNING = 1 << 4, APP_MSG_INVALID_ARGS = 1 << 5, APP_MSG_BUSY = 1 << 6, APP_MSG_BUFFER_OVERFLOW = 1 << 7, APP_MSG_ALREADY_RELEASED = 1 << 9, APP_MSG_CALLBACK_ALREADY_REGISTERED = 1 << 10, APP_MSG_CALLBACK_NOT_REGISTERED = 1 << 11, APP_MSG_OUT_OF_MEMORY = 1 << 12, APP_MSG_CLOSED = 1 << 13, APP_MSG_INTERNAL_ERROR = 1 << 14, APP_MSG_INVALID_STATE = 1 << 15 } |
| AppMessage result codes. More... | |
Functions | |
| AppMessageResult | app_message_open (const uint32_t size_inbound, const uint32_t size_outbound) |
| void | app_message_deregister_callbacks (void) |
| void * | app_message_get_context (void) |
| void * | app_message_set_context (void *context) |
| AppMessageInboxReceived | app_message_register_inbox_received (AppMessageInboxReceived received_callback) |
| AppMessageInboxDropped | app_message_register_inbox_dropped (AppMessageInboxDropped dropped_callback) |
| AppMessageOutboxSent | app_message_register_outbox_sent (AppMessageOutboxSent sent_callback) |
| AppMessageOutboxFailed | app_message_register_outbox_failed (AppMessageOutboxFailed failed_callback) |
| uint32_t | app_message_inbox_size_maximum (void) |
| uint32_t | app_message_outbox_size_maximum (void) |
| AppMessageResult | app_message_outbox_begin (DictionaryIterator **iterator) |
| AppMessageResult | app_message_outbox_send (void) |
Bi-directional communication between phone apps and Pebble watchapps.
AppMessage is a bi-directional messaging subsystem that enables communication between phone apps and Pebble watchapps. This is accomplished by allowing phone and watchapps to exchange arbitrary sets of key/value pairs. The key/value pairs are stored in the form of a Dictionary, the layout of which is left for the application developer to define.
AppMessage implements a push-oriented messaging protocol, enabling your app to call functions and methods to push messages from Pebble to phone and vice versa. The protocol is symmetric: both Pebble and the phone can send messages. All messages are acknowledged. In this context, there is no client-server model, as such.
During the sending phase, one side initiates the communication by transferring a dictionary over the air. The other side then receives this message and is given an opportunity to perform actions on that data. As soon as possible, the other side is expected to reply to the message with a simple acknowledgment that the message was received successfully.
PebbleKit JavaScript provides you with a set of standard JavaScript APIs that let your app receive messages from the watch, make HTTP requests, and send new messages to the watch. AppMessage APIs are used to send and receive data. A Pebble watchapp can use the resources of the connected phone to fetch information from web services, send information to web APIs, or store login credentials. On the JavaScript side, you communicate with Pebble via a Pebble object exposed in the namespace.
Messages always need to get either ACKnowledged or "NACK'ed," that is, not acknowledged. If not, messages will result in a time-out failure. The AppMessage subsystem takes care of this implicitly. In the phone libraries, this step is a bit more explicit.
The Pebble watch interfaces make a distinction between the Inbox and the Outbox calls. The Inbox receives messages from the phone on the watch; the Outbox sends messages from the watch to the phone. These two buffers can be managed separately.
A critical constraint of AppMessage is that messages are limited in size. An ingoing (outgoing) message larger than the inbox (outbox) will not be transmitted and will generate an error. You can choose your inbox and outbox size when you call app_message_open().
Pebble SDK provides a static minimum guaranteed size (APP_MESSAGE_INBOX_SIZE_MINIMUM and APP_MESSAGE_OUTBOX_SIZE_MINIMUM). Requesting a buffer of the minimum guaranteed size (or smaller) is always guaranteed to succeed on all Pebbles in this SDK version or higher, and with every phone.
In some context, Pebble might be able to provide your application with larger inbox/outbox. You can call app_message_inbox_size_maximum() and app_message_outbox_size_maximum() in your code to get the largest possible value you can use.
To always get the largest buffer available, follow this best practice:
app_message_open(app_message_inbox_size_maximum(), app_message_outbox_size_maximum())
AppMessage uses your application heap space. That means that the sizes you pick for the AppMessage inbox and outbox buffers are important in optimizing your app’s performance. The more you use for AppMessage, the less space you’ll have for the rest of your app.
To register callbacks, you should call app_message_register_inbox_received(), app_message_register_inbox_dropped(), app_message_register_outbox_sent(), app_message_register_outbox_failed().
Pebble recommends that you call them before app_message_open() to ensure you do not miss a message arriving between starting AppMessage and registering the callback. You can set a context that will be passed to all the callbacks with app_message_set_context().
In circumstances that may not be ideal, when using AppMessage several types of errors may occur. For example:
Other errors are possible and described by AppMessageResult. A client of the AppMessage interface should use the result codes to be more robust in the face of communication problems either in the field or while debugging.
Refer to the for a conceptual overview and code usage.
For code examples, refer to the SDK Examples that directly use App Message. These include:
| #define APP_MESSAGE_INBOX_SIZE_MINIMUM 124 |
As long as the firmware maintains its current major version, inboxes of this size or smaller will be allowed.
| #define APP_MESSAGE_OUTBOX_SIZE_MINIMUM 636 |
As long as the firmware maintains its current major version, outboxes of this size or smaller will be allowed.
| typedef void(* AppMessageInboxDropped) (AppMessageResult reason, void *context) |
Called after an incoming message is dropped.
| [in] | result | The reason why the message was dropped. Some possibilities include APP_MSG_BUSY and APP_MSG_BUFFER_OVERFLOW. |
| [in] | context | Pointer to application data as specified when registering the callback. |
Note that you can call app_message_outbox_begin() from this handler to prepare a new message. This will invalidate the previous dictionary iterator; do not use it after calling app_message_outbox_begin().
| typedef void(* AppMessageInboxReceived) (DictionaryIterator *iterator, void *context) |
Called after an incoming message is received.
| [in] | iterator | The dictionary iterator to the received message. Never NULL. Note that the iterator cannot be modified or saved off. The library may need to re-use the buffered space where this message is supplied. Returning from the callback indicates to the library that the received message contents are no longer needed or have already been externalized outside its buffering space and iterator. |
| [in] | context | Pointer to application data as specified when registering the callback. |
| typedef void(* AppMessageOutboxFailed) (DictionaryIterator *iterator, AppMessageResult reason, void *context) |
Called after an outbound message has not been sent successfully.
| [in] | iterator | The dictionary iterator to the sent message. The iterator will be in the final state that was sent. Note that the iterator cannot be modified or saved off as the library will re-open the dictionary with dict_begin() after this callback returns. |
| [in] | result | The result of the operation. Some possibilities for the value include APP_MSG_SEND_TIMEOUT, APP_MSG_SEND_REJECTED, APP_MSG_NOT_CONNECTED, APP_MSG_APP_NOT_RUNNING, and the combination (APP_MSG_NOT_CONNECTED | APP_MSG_APP_NOT_RUNNING) . |
| context | Pointer to application data as specified when registering the callback. |
Note that you can call app_message_outbox_begin() from this handler to prepare a new message. This will invalidate the previous dictionary iterator; do not use it after calling app_message_outbox_begin().
| typedef void(* AppMessageOutboxSent) (DictionaryIterator *iterator, void *context) |
Called after an outbound message has been sent and the reply has been received.
| [in] | iterator | The dictionary iterator to the sent message. The iterator will be in the final state that was sent. Note that the iterator cannot be modified or saved off as the library will re-open the dictionary with dict_begin() after this callback returns. |
| [in] | context | Pointer to application data as specified when registering the callback. |
| enum AppMessageResult |
AppMessage result codes.
| void app_message_deregister_callbacks | ( | void | ) |
Deregisters all callbacks and their context.
| void* app_message_get_context | ( | void | ) |
Gets the context that will be passed to all AppMessage callbacks.
| uint32_t app_message_inbox_size_maximum | ( | void | ) |
Programatically determine the inbox size maximum in the current configuration.
| AppMessageResult app_message_open | ( | const uint32_t | size_inbound, |
| const uint32_t | size_outbound | ||
| ) |
Open AppMessage to transfers.
Use dict_calc_buffer_size_from_tuplets() or dict_calc_buffer_size() to estimate the size you need.
| [in] | size_inbound | The required size for the Inbox buffer |
| [in] | size_outbound | The required size for the Outbox buffer |
| AppMessageResult app_message_outbox_begin | ( | DictionaryIterator ** | iterator | ) |
Begin writing to the Outbox's Dictionary buffer.
| [out] | iterator | Location to write the DictionaryIterator pointer. This will be NULL on failure. |
| AppMessageResult app_message_outbox_send | ( | void | ) |
Sends the outbound dictionary.
| uint32_t app_message_outbox_size_maximum | ( | void | ) |
Programatically determine the outbox size maximum in the current configuration.
| AppMessageInboxDropped app_message_register_inbox_dropped | ( | AppMessageInboxDropped | dropped_callback | ) |
Registers a function that will be called after any Inbox message is received but dropped by the system.
Only one callback may be registered at a time. Each subsequent call to this function will replace the previous callback. The callback is optional; setting it to NULL will deregister the current callback and no function will be called anymore.
| [in] | dropped_callback | The callback that will be called going forward; NULL to not have a callback. |
| AppMessageInboxReceived app_message_register_inbox_received | ( | AppMessageInboxReceived | received_callback | ) |
Registers a function that will be called after any Inbox message is received successfully.
Only one callback may be registered at a time. Each subsequent call to this function will replace the previous callback. The callback is optional; setting it to NULL will deregister the current callback and no function will be called anymore.
| [in] | received_callback | The callback that will be called going forward; NULL to not have a callback. |
| AppMessageOutboxFailed app_message_register_outbox_failed | ( | AppMessageOutboxFailed | failed_callback | ) |
Registers a function that will be called after any Outbox message is not sent with a timely ACK reply. The call to app_message_outbox_send() must have succeeded.
Only one callback may be registered at a time. Each subsequent call to this function will replace the previous callback. The callback is optional; setting it to NULL will deregister the current callback and no function will be called anymore.
| [in] | failed_callback | The callback that will be called going forward; NULL to not have a callback. |
| AppMessageOutboxSent app_message_register_outbox_sent | ( | AppMessageOutboxSent | sent_callback | ) |
Registers a function that will be called after any Outbox message is sent and an ACK reply occurs in a timely fashion.
Only one callback may be registered at a time. Each subsequent call to this function will replace the previous callback. The callback is optional; setting it to NULL will deregister the current callback and no function will be called anymore.
| [in] | sent_callback | The callback that will be called going forward; NULL to not have a callback. |
| void* app_message_set_context | ( | void * | context | ) |
Sets the context that will be passed to all AppMessage callbacks.
| [in] | context | The context that will be passed to all AppMessage callbacks. |


Text Preprocessing
Tokenizer
keras.preprocessing.text.Tokenizer(num_words=None, filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n', lower=True, split=' ', char_level=False, oov_token=None, document_count=0)
Text tokenization utility class.
This class allows to vectorize a text corpus, by turning each text into either a sequence of integers (each integer being the index of a token in a dictionary) or into a vector where the coefficient for each token could be binary, based on word count, based on tf-idf...
Arguments
- num_words: the maximum number of words to keep, based
on word frequency. Only the most common
num_words-1
words will be kept. - filters: a string where each element is a character that will be
filtered from the texts. The default is all punctuation, plus
tabs and line breaks, minus the
'
character. - lower: boolean. Whether to convert the texts to lowercase.
- split: str. Separator for word splitting.
- char_level: if True, every character will be treated as a token.
- oov_token: if given, it will be added to word_index and used to replace out-of-vocabulary words during text_to_sequence calls
By default, all punctuation is removed, turning the texts into
space-separated sequences of words
(words maybe include the '
character). These sequences are then
split into lists of tokens. They will then be indexed or vectorized.
0
is a reserved index that won't be assigned to any word.
hashing_trick
keras.preprocessing.text.hashing_trick(text, n, hash_function=None, filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n', lower=True, split=' ')
Converts a text to a sequence of indexes in a fixed-size hashing space.
Arguments
- text: Input text (string).
- n: Dimension of the hashing space.
- hash_function: defaults to python
hash
function, can be 'md5' or any function that takes in input a string and returns a int. Note that 'hash' is not a stable hashing function, so it is not consistent across different runs, while 'md5' is a stable hashing function. - filters: list (or concatenation) of characters to filter out, such as
punctuation. Default:
!"#$%&()*+,-./:;<=>?@[\]^_`{|}~\t\n
, includes basic punctuation, tabs, and newlines. - lower: boolean. Whether to set the text to lowercase.
- split: str. Separator for word splitting.
Returns
A list of integer word indices (unicity non-guaranteed).
0
is a reserved index that won't be assigned to any word.
Two or more words may be assigned to the same index, due to possible collisions by the hashing function. The probability of a collision is in relation to the dimension of the hashing space and the number of distinct objects.
one_hot
keras.preprocessing.text.one_hot(text, n, filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n', lower=True, split=' ')
One-hot encodes a text into a list of word indexes of size n.
This is a wrapper to the hashing_trick
function using hash
as the
hashing function; unicity of word to index mapping non-guaranteed.
Arguments
- text: Input text (string).
- n: int. Size of vocabulary.
- filters: list (or concatenation) of characters to filter out, such as
punctuation. Default:
!"#$%&()*+,-./:;<=>?@[\]^_`{|}~\t\n
, includes basic punctuation, tabs, and newlines. - lower: boolean. Whether to set the text to lowercase.
- split: str. Separator for word splitting.
Returns
List of integers in [1, n]. Each integer encodes a word (unicity non-guaranteed).
text_to_word_sequence
keras.preprocessing.text.text_to_word_sequence(text, filters='!"#$%&()*+,-./:;<=>?@[\\]^_`{|}~\t\n', lower=True, split=' ')
Converts a text to a sequence of words (or tokens).
Arguments
- text: Input text (string).
- filters: list (or concatenation) of characters to filter out, such as
punctuation. Default:
!"#$%&()*+,-./:;<=>?@[\]^_`{|}~\t\n
, includes basic punctuation, tabs, and newlines. - lower: boolean. Whether to convert the input to lowercase.
- split: str. Separator for word splitting.
Returns
A list of words (or tokens).


PLANET SICK-BOY: http://www.sick-boy.com
The premise is simple: Man moves to small Midwestern town that shares his name, pretends to be a psychiatrist, and is actually able to offer better advice than the burg's other two shrinks. His patients are quirky and their characters are well-developed and well-played by capable actors. Yet, somehow, the film really struggles to be even mediocre.
Written and directed by Hollywood vet Lawrence Kasdan (French Kiss), who has a long resume of overly praised middling pictures, Mumford stars Loren Dean (Enemy of the State) as the fraudulent Dr. Mumford. He chose this particular town to set up shop simply because it happened to have the name of the identity he had recently created to avoid a shady past. In town for just a few months, Dr. Mumford has quickly become the mental health M.D. of choice among the Mayberry-esque community, and begins to take clients from the town's other two shrinks.
His patients are almost too quirky to believe. The pharmacist (Pruitt Taylor Vince, Murder One) has steamy sex fantasies straight out of a Russ Meyer flick; a young bulimic goth chick (Zooey Deschanel) says things just for shock value; the wife of a successful financier (Mary McDonnell, 12 Angry Men) is a mail-order shopaholic; and a young lady - and the doctor's obvious eventual love interest – suffers from a case of Chronic Fatigue Syndrome.
The good doctor is also sought by Mumford's richest individual – a young skateboarding techno wiz named Skip Skipperton (Jason Lee, Chasing Amy) who created PandaModem, the town's largest employer and international business that has nabbed 23% of the modem market's share. He's worth 3 billion big ones, but would have traded all of it to make the varsity baseball team. Skip feels he needs psychiatric help, but doesn't want to alarm either his stockholders or the townsfolk, who see PandaModem as a necessity since the timber industry has recently dried up. So he asks Dr. Mumford to pretend to be his friend and dispense therapeutic advice while tossing a football around. Why would such a happy-go-lucky guy need mental help? He's building a synthetic sexual surrogate/companion (read: sex doll) and is afraid that his latest venture could be wrong and dirty.
Things proceed as planned for Dr. Mumford until he tosses new patient and slimy local defense attorney Lionel Dillard (Martin Short) out of a session for being too irritating. Dillard turns to Mumford's other two legit shrinks - Dr. Ernest Delbanco (David Paymer, Payback) and Dr. Phyllis Sheeler (Jane Adams, Happiness) – and suggests that Dr. Mumford may be an uneducated impostor, which leads to an investigation and eventual outing.
Mumford offers precious little that you wouldn't already expect prior to walking into the theater. There is only one real stand-out scene – a great grainy flashback to his previous life and past jobs. Dean is merely adequate - his baked-bean teeth are disturbing and distracting. Lee is totally wasted in a role where he can't curse, able to only either mutter `far out' or repeat someone else's line in question form. The supporting players make the film. Barely. (1:51 - R for sex-related images, language and drug content)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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Definition 2.1.5.
The treatment variable or factor is another name for the explanatory variable in an experiment. The levels of the factor are often referred to as treatments. The response variable is the outcome measured on each experimental unit after the treatment has been applied. In experiments, the observational units are often referred to as experimental units.


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--- layout: post title: How To Clone Vagrant Virtual Machines date: '2014-08-04T15:54:08+02:00' tags: - vagrant - vm - virtual machine - virtualbox - clone - xml - liked - full - vbox - intercace - eth0 - ethernet - sysconfig tumblr_url: http://blog.alezzandro.com/post/93777189743/how-to-clone-vagrant-virtual-machines ---
Hi there,
I want to show to anyone who’ll need it, how I managed to clone a Vagrant virtual machine using VirtualBox and some XML editing.
First of all ensure that you can access to you Vagrant-vm also with user and password (not only by public/private key files). You should try using vagrant/vagrant that should be the default credentials.
By the way if you can’t find username and password you can always change the password for “vagrant” user.
After that when you’re ready to clone, open Virtualbox, right click on your Vagrant vm (you should recognize it by the name, if you can’t find it go at end of this article) and click on “Clone”.
Change the vm’s name according your destination folder for the cloned Vagrant virtual machine. Please ensure to check the “Reinitialize MAC address” option if you plan to let the two virtual machines communicating each other.
You can choose two types of cloning: “Full” and “Linked”. The Full clone will have its own disk, the Linked clone will have a disk based on the original and increased for differences (it reduces disk size!).
And now it comes the tricky part. Go to the new cloned vm’s path and look for a .VBOX file:
Open this file with a smart text editor, search for the Machine uuid and copy it:
After that go on your original Vagrant machine’s directory and copy the whole content (including the .vagrant directory) to the new destination (the directory for the cloned vm).
Now you have to edit these two file copying the machine uuid inside: “id” and “action_provision”. You will find this file placed somewhere under “.vagrant” directory. REMEMBER: you have to edit them on your cloned environment NOT in the original one.
PAY ATTENTION: in “action_provision” file you don’t have to remove the starting prefix: ‘1.5:’
Now it’s almost done, BUT if you planned to let the two vms to inter-operate each other and you re-initialized the network MAC addresses, so you have to follow this step more:
*) You have to manual login to your Vagrant vm by starting it through VirtualBox. After that you have to change (supposing you are on a RHEL-style linux distro):
/etc/sysconfig/network-scripts/ifcfg-ethX (where X is your iface number)
Changing all the occurrences of the MAC address and UUID respectively, but you can simply comment or remove them.
After that you have also to edit the file:
/etc/udev/rules.d/70-persistent-net.rules
And change the hwaddr for ethX with new one. You have also to remove the ethX+1 configuration (you will find new HWADDR on the ethX+1 config line)
*END*
NOTE: If for some reason you can’t find any Vagrant vm on your Virtualbox and you are using cygwin so take a look into cygwin home directory and look for a directory named “VirtualBox VMs”. After that you should search on Google how to change the home directory for current cygwin user (tip: look into /etc/passwd) and after that move the contents of this folder to the default one under Documents or whatever you defualt folder is (look into VirtualBox settings).


| rebuild {renv} | R Documentation |
Rebuild and reinstall packages in your library. This can be useful as a diagnostic tool – for example, if you find that one or more of your packages fail to load, and you want to ensure that you are starting from a clean slate.
rebuild( packages = NULL, recursive = TRUE, ..., prompt = interactive(), library = NULL, project = NULL )
packages |
The package(s) to be rebuilt. When |
recursive |
Boolean; should dependencies of packages be rebuilt
recursively? Defaults to |
... |
Unused arguments, reserved for future expansion. If any arguments
are matched to |
prompt |
Boolean; prompt the user before taking any action? Note that
|
library |
The R library to be used. When |
project |
The project directory. If |
Note that binaries will be used when appropriate and available for your
platform. If you'd like to force packages to be rebuilt from sources, you
can set options(pkgType = "source")
.
A named list of package records which were installed by renv
.
## Not run: # rebuild the 'dplyr' package + all of its dependencies renv::rebuild("dplyr", recursive = TRUE) # rebuild only 'dplyr' renv::rebuild("dplyr", recursive = FALSE) ## End(Not run)


Subtables
Supercolumn headers
Split compound values
Table 2. Percentage of heavy drinking and frequency of binge drinking at the 1- and 6-month follow-up by condition (WDYD intervention versus control): intention-to-treat (multiple imputation) and completers-only analyses
Intervention
Control
M
SD
M
SD
β
95% CI
P
95% CI :0
95% CI :1
1-month follow-up
Intention-to-treat
28.6
22.6
31.0
26.9
−0.06
[−6.11 to 0.45]
0.09
−6.11
0.45
Completers-only
28.4
22.9
31.7
27.5
−0.07
[−6.74 to 0.20]
0.07
−6.74
0.20
6-month follow-up
Intention-to-treat
21.5
20.6
22.4
20.5
−0.02
[−3.61 to 1.88]
0.54
−3.61
1.88
Completers-only
21.2
20.7
22.3
20.6
−0.03
[−3.94 to 1.72]
0.44
−3.94
1.72


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Computer Science


What are Application Containers?
An application container consists of an application root and all of the application PDBs associated with it.
The Application root is a special PDB, which contains the data model definition along with any metadata and common data for any application.
Application Containers enables you to create a common application data model that can be shared across multiple tenants participating in the federation.
You can also create and maintain a common data source that can be referenced by individual tenants.
An application root enables you to create application common objects that are shared only by the application root and the application PDBs that belong
to the application root. Application common objects are not visible to the CDB root, other application roots, or PDBs that do not belong to the application
root. An application root cannot belong to another application root, and a PDB can belong to either no application roots or to only one application root.
You can create an application seed for an application container. The application seed is optional, but, if it exists,
you can use it to create application PDBs quickly that match the requirements of the application container.
An application seed enables instant provisioning of application PDBs that are created from it.
We have two labs in this section.
Lab 1: Create an application that will be shared by multiple PDBs
The first one we will go through the creation of application root, installing an application followed by setting up two application PDBs (Robots and Dolls).
My Toy Inc. sells two toys Robots and Dolls. Revenue information for these two products are stored in two separate PDBs, however the table definition for this sales application is the same. So we will create an application container, define a metadata linked table which will allow us to share the table definition in both the PDBs. The definition is shared but data in each PDB will be isolated and is not accessible from another PDB.At the end we will execute a query that will aggregate data from the two applciation PDBs using a containers clause.
- Open a terminal window
- change directory to /u01/HOL/app_containers/
- source the environment. At command prompt execute $source cdb1.env
- sqlplus /nolog
- At the SQL prompt execute<EMAIL_ADDRESS>This is a self guided script that will walk you through the basics of Application containers.
Lab 2: Logical partitioning of data in pluggable database using container maps
Container maps enable the partitioning of data at the PDB level when the data is not physically partitioned at the table level.
In this exercise, we will use the well known EMP and DEPT table. Imagine in every department of our company there are hundreds of thousands of employees. We have a need to separate this data into few pluggable databases but we cannot make any changes to the application i.e. existing queries should continue to work as before. Since deptno column is used by most of our application queries we will use that as the container map column.
- Open a terminal window
- change directory to /u01/HOL/app_containers/
- source the environment. At command prompt execute $source cdb2.env
- sqlplus /nolog
- At the SQL prompt execute<EMAIL_ADDRESS>This is a self guided script that will walk you through the basics of Application containers.


👏 First-Time Contributors
New contributors land their first PR in the react, devtools, or reactjs.org repositories every week. A special round of applause for this week goes to:
This rounds up all the latest changes to React and React DOM. See you next week. 👋


|
JavaTM 2 Platform Standard Ed. 5.0 |
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| PREV CLASS NEXT CLASS | FRAMES NO FRAMES | |||||||||
| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
java.lang.Object javax.management.StandardMBean
public class StandardMBean
An MBean whose management interface is determined by reflection on a Java interface.
This class brings more flexibility to the notion of Management Interface in the use of Standard MBeans. Straightforward use of the patterns for Standard MBeans described in the JMX Specification means that there is a fixed relationship between the implementation class of an MBean and its management interface (i.e., if the implementation class is Thing, the management interface must be ThingMBean). This class makes it possible to keep the convenience of specifying the management interface with a Java interface, without requiring that there be any naming relationship between the implementation and interface classes.
By making a DynamicMBean out of an MBean, this class makes it possible to select any interface implemented by the MBean as its management interface, provided that it complies with JMX patterns (i.e., attributes defined by getter/setter etc...).
This class also provides hooks that make it possible to supply
custom descriptions and names for the MBeanInfo
returned by
the DynamicMBean interface.
Using this class, an MBean can be created with any implementation class name Impl and with a management interface defined (as for current Standard MBeans) by any interface Intf, in one of two general ways:
StandardMBean(impl,interface)
:
MBeanServer mbs; ... Impl impl = new Impl(...); StandardMBean mbean = new StandardMBean(impl, Intf.class); mbs.registerMBean(mbean, objectName);
public class Impl extends StandardMBean implements Intf { public Impl() { super(Intf.class); } // implement methods of Intf } [...] MBeanServer mbs; .... Impl impl = new Impl(); mbs.registerMBean(impl, objectName);
In either case, the class Impl must implement the interface Intf.
Standard MBeans based on the naming relationship between implementation and interface classes are of course still available.
| Constructor Summary | |
|---|---|
protected |
StandardMBean(Class mbeanInterface)
Make a DynamicMBean out of this, using the specified mbeanInterface class. |
|
StandardMBean(Object implementation,
Class mbeanInterface)
Make a DynamicMBean out of the object implementation, using the specified mbeanInterface class. |
| Method Summary | |
|---|---|
protected void |
cacheMBeanInfo(MBeanInfo info)
Customization hook: cache the MBeanInfo built for this object. |
Object |
getAttribute(String attribute)
Obtain the value of a specific attribute of the Dynamic MBean. |
AttributeList |
getAttributes(String[] attributes)
Get the values of several attributes of the Dynamic MBean. |
protected MBeanInfo |
getCachedMBeanInfo()
Customization hook: Return the MBeanInfo cached for this object. |
protected String |
getClassName(MBeanInfo info)
Customization hook: Get the className that will be used in the MBeanInfo returned by this MBean. |
protected MBeanConstructorInfo[] |
getConstructors(MBeanConstructorInfo[] ctors,
Object impl)
Customization hook: Get the MBeanConstructorInfo[] that will be used in the MBeanInfo returned by this MBean. |
protected String |
getDescription(MBeanAttributeInfo info)
Customization hook: Get the description that will be used in the MBeanAttributeInfo returned by this MBean. |
protected String |
getDescription(MBeanConstructorInfo info)
Customization hook: Get the description that will be used in the MBeanConstructorInfo returned by this MBean. |
protected String |
getDescription(MBeanConstructorInfo ctor,
MBeanParameterInfo param,
int sequence)
Customization hook: Get the description that will be used for the sequence MBeanParameterInfo of the MBeanConstructorInfo returned by this MBean. |
protected String |
getDescription(MBeanFeatureInfo info)
Customization hook: Get the description that will be used in the MBeanFeatureInfo returned by this MBean. |
protected String |
getDescription(MBeanInfo info)
Customization hook: Get the description that will be used in the MBeanInfo returned by this MBean. |
protected String |
getDescription(MBeanOperationInfo info)
Customization hook: Get the description that will be used in the MBeanOperationInfo returned by this MBean. |
protected String |
getDescription(MBeanOperationInfo op,
MBeanParameterInfo param,
int sequence)
Customization hook: Get the description that will be used for the sequence MBeanParameterInfo of the MBeanOperationInfo returned by this MBean. |
protected int |
getImpact(MBeanOperationInfo info)
Customization hook: Get the impact flag of the operation that will be used in the MBeanOperationInfo returned by this MBean. |
Object |
getImplementation()
Get the implementation of this MBean. |
Class |
getImplementationClass()
Get the class of the implementation of this MBean. |
MBeanInfo |
getMBeanInfo()
Get the MBeanInfo for this MBean. |
Class |
getMBeanInterface()
Get the Management Interface of this MBean. |
protected String |
getParameterName(MBeanConstructorInfo ctor,
MBeanParameterInfo param,
int sequence)
Customization hook: Get the name that will be used for the sequence MBeanParameterInfo of the MBeanConstructorInfo returned by this MBean. |
protected String |
getParameterName(MBeanOperationInfo op,
MBeanParameterInfo param,
int sequence)
Customization hook: Get the name that will be used for the sequence MBeanParameterInfo of the MBeanOperationInfo returned by this MBean. |
Object |
invoke(String actionName,
Object[] params,
String[] signature)
Allows an action to be invoked on the Dynamic MBean. |
void |
setAttribute(Attribute attribute)
Set the value of a specific attribute of the Dynamic MBean. |
AttributeList |
setAttributes(AttributeList attributes)
Sets the values of several attributes of the Dynamic MBean. |
void |
setImplementation(Object implementation)
Replace the implementation object wrapped in this object. |
| Methods inherited from class java.lang.Object |
|---|
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait |
| Constructor Detail |
|---|
public StandardMBean(Object implementation, Class mbeanInterface) throws NotCompliantMBeanException
Make a DynamicMBean out of the object implementation, using the specified mbeanInterface class.
implementation
- The implementation of this MBean.mbeanInterface
- The Management Interface exported by this
MBean's implementation. If null
, then this
object will use standard JMX design pattern to determine
the management interface associated with the given
implementation.
IllegalArgumentException
- if the given
implementation is null.
NotCompliantMBeanException
- if the mbeanInterface
does not follow JMX design patterns for Management Interfaces, or
if the given implementation does not implement the
specified interface.protected StandardMBean(Class mbeanInterface) throws NotCompliantMBeanException
Make a DynamicMBean out of this, using the specified mbeanInterface class.
Call this(this,mbeanInterface)
.
This constructor is reserved to subclasses.
mbeanInterface
- The Management Interface exported by this
MBean.
NotCompliantMBeanException
- if the mbeanInterface
does not follow JMX design patterns for Management Interfaces, or
if this does not implement the specified interface.| Method Detail |
|---|
public void setImplementation(Object implementation) throws NotCompliantMBeanException
Replace the implementation object wrapped in this object.
implementation
- The new implementation of this MBean.
The implementation
object must implement the MBean
interface that was supplied when this
StandardMBean
was constructed.
IllegalArgumentException
- if the given
implementation is null.
NotCompliantMBeanException
- if the given
implementation does not implement the MBean
interface that was supplied at construction.getImplementation()
public Object getImplementation()
setImplementation(java.lang.Object)
public final Class getMBeanInterface()
public Class getImplementationClass()
public Object getAttribute(String attribute) throws AttributeNotFoundException, MBeanException, ReflectionException
DynamicMBean
getAttribute
in interface DynamicMBean
attribute
- The name of the attribute to be retrieved
AttributeNotFoundException
MBeanException
- Wraps a java.lang.Exception
thrown by the MBean's getter.
ReflectionException
- Wraps a java.lang.Exception
thrown while trying to invoke the getter.DynamicMBean.setAttribute(javax.management.Attribute)
public void setAttribute(Attribute attribute) throws AttributeNotFoundException, InvalidAttributeValueException, MBeanException, ReflectionException
DynamicMBean
setAttribute
in interface DynamicMBean
attribute
- The identification of the attribute to
be set and the value it is to be set to.
AttributeNotFoundException
InvalidAttributeValueException
MBeanException
- Wraps a java.lang.Exception
thrown by the MBean's setter.
ReflectionException
- Wraps a java.lang.Exception
thrown while trying to invoke the MBean's setter.DynamicMBean.getAttribute(java.lang.String)
public AttributeList getAttributes(String[] attributes)
DynamicMBean
getAttributes
in interface DynamicMBean
attributes
- A list of the attributes to be retrieved.
DynamicMBean.setAttributes(javax.management.AttributeList)
public AttributeList setAttributes(AttributeList attributes)
DynamicMBean
setAttributes
in interface DynamicMBean
attributes
- A list of attributes: The identification of the
attributes to be set and the values they are to be set to.
DynamicMBean.getAttributes(java.lang.String[])
public Object invoke(String actionName, Object[] params, String[] signature) throws MBeanException, ReflectionException
DynamicMBean
invoke
in interface DynamicMBean
actionName
- The name of the action to be invoked.params
- An array containing the parameters to be set when the action is
invoked.signature
- An array containing the signature of the action. The class objects will
be loaded through the same class loader as the one used for loading the
MBean on which the action is invoked.
MBeanException
- Wraps a java.lang.Exception
thrown by the MBean's invoked method.
ReflectionException
- Wraps a java.lang.Exception
thrown while trying to invoke the methodpublic MBeanInfo getMBeanInfo()
MBeanInfo
for this MBean.
This method implements
DynamicMBean.getMBeanInfo()
.
This method first calls getCachedMBeanInfo()
in order to
retrieve the cached MBeanInfo for this MBean, if any. If the
MBeanInfo returned by getCachedMBeanInfo()
is not null,
then it is returned.
Otherwise, this method builds a default MBeanInfo for this MBean,
using the Management Interface specified for this MBean.
While building the MBeanInfo, this method calls the customization
hooks that make it possible for subclasses to supply their custom
descriptions, parameter names, etc...
Finally, it calls cacheMBeanInfo()
in order to cache the new MBeanInfo.
getMBeanInfo
in interface DynamicMBean
protected String getClassName(MBeanInfo info)
info.getClassName()
.
info
- The default MBeanInfo derived by reflection.
protected String getDescription(MBeanInfo info)
info.getDescription()
.
info
- The default MBeanInfo derived by reflection.
protected String getDescription(MBeanFeatureInfo info)
Customization hook: Get the description that will be used in the MBeanFeatureInfo returned by this MBean.
Subclasses may redefine this method in order to supply
their custom description. The default implementation returns
info.getDescription()
.
This method is called by
getDescription(MBeanAttributeInfo)
,
getDescription(MBeanOperationInfo)
,
getDescription(MBeanConstructorInfo)
.
info
- The default MBeanFeatureInfo derived by reflection.
protected String getDescription(MBeanAttributeInfo info)
Subclasses may redefine this method in order to supply their
custom description. The default implementation returns getDescription((MBeanFeatureInfo) info)
.
info
- The default MBeanAttributeInfo derived by reflection.
protected String getDescription(MBeanConstructorInfo info)
getDescription((MBeanFeatureInfo) info)
.
info
- The default MBeanConstructorInfo derived by reflection.
protected String getDescription(MBeanConstructorInfo ctor, MBeanParameterInfo param, int sequence)
param.getDescription()
.
ctor
- The default MBeanConstructorInfo derived by reflection.param
- The default MBeanParameterInfo derived by reflection.sequence
- The sequence number of the parameter considered
("0" for the first parameter, "1" for the second parameter,
etc...).
protected String getParameterName(MBeanConstructorInfo ctor, MBeanParameterInfo param, int sequence)
param.getName()
.
ctor
- The default MBeanConstructorInfo derived by reflection.param
- The default MBeanParameterInfo derived by reflection.sequence
- The sequence number of the parameter considered
("0" for the first parameter, "1" for the second parameter,
etc...).
protected String getDescription(MBeanOperationInfo info)
getDescription((MBeanFeatureInfo) info)
.
info
- The default MBeanOperationInfo derived by reflection.
protected int getImpact(MBeanOperationInfo info)
info.getImpact()
.
info
- The default MBeanOperationInfo derived by reflection.
protected String getParameterName(MBeanOperationInfo op, MBeanParameterInfo param, int sequence)
param.getName()
.
op
- The default MBeanOperationInfo derived by reflection.param
- The default MBeanParameterInfo derived by reflection.sequence
- The sequence number of the parameter considered
("0" for the first parameter, "1" for the second parameter,
etc...).
protected String getDescription(MBeanOperationInfo op, MBeanParameterInfo param, int sequence)
param.getDescription()
.
op
- The default MBeanOperationInfo derived by reflection.param
- The default MBeanParameterInfo derived by reflection.sequence
- The sequence number of the parameter considered
("0" for the first parameter, "1" for the second parameter,
etc...).
protected MBeanConstructorInfo[] getConstructors(MBeanConstructorInfo[] ctors, Object impl)
null
if the wrapped
implementation is not this. Indeed, if the wrapped
implementation is not this object itself, it will not be possible
to recreate a wrapped implementation by calling the implementation
constructors through MBeanServer.createMBean(...)
.
ctors
- The default MBeanConstructorInfo[] derived by reflection.impl
- The wrapped implementation. If null
is
passed, the wrapped implementation is ignored and
ctors is returned.
protected MBeanInfo getCachedMBeanInfo()
Subclasses may redefine this method in order to implement their
own caching policy. The default implementation stores one
MBeanInfo
object per instance.
cacheMBeanInfo(MBeanInfo)
protected void cacheMBeanInfo(MBeanInfo info)
Subclasses may redefine this method in order to implement
their own caching policy. The default implementation stores
info
in this instance. A subclass can define
other policies, such as not saving info
(so it is
reconstructed every time getMBeanInfo()
is called) or
sharing a unique MBeanInfo
object when several
StandardMBean
instances have equal MBeanInfo
values.
info
- the new MBeanInfo
to cache. Any
previously cached value is discarded. This parameter may be
null, in which case there is no new cached value.
|
JavaTM 2 Platform Standard Ed. 5.0 |
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| SUMMARY: NESTED | FIELD | CONSTR | METHOD | DETAIL: FIELD | CONSTR | METHOD |
Copyright © 2004, 2010 Oracle and/or its affiliates. All rights reserved. Use is subject to license terms. Also see the documentation redistribution policy.


Event Location:
Neumont University
10701 South River Front Parkway
Salt Lake City, Utah
Abstract:
We’ll be looking into the pros and cons of moving SQL Servers into a virtual server environment. Specifically we’ll be looking into when it’s a good idea and when it’s probably not a good idea. Like all problems in the database world there are no hard set answers as to if virtualization is a good idea, but there are some times when virtualizing a SQL Server is a good idea, and can save you some money. There are some other times when you will be shooting yourself in the foot and shouldn’t. We’ll be focusing on when how to make this decision, and how to gather the metrics that you need in order to come to this decision. How to determine it your SQL Server database is a good candidate for virtualization.
Speaker(s): Denny Cherry,
Abstract:
What happens if your hardware fails or your data center loses power? Do you have a Disaster Recovery (DR) plan in place that you can implement quickly? Log shipping allows you to keep copies of your databases closely synced and ready to come online in an emergency. Log shipping also offers options for read-only warm standby databases to reduce load from your production servers, adding additional value to your investment. In this session we'll Log Shipping, how it works, and how it differs from its cousin, Mirroring. We'll discuss practical uses for Log Shipping and work through a demonstration to show you how you can get it up and running in your environment.
Speaker(s): Nicholas Cain,
Abstract:
If you maintain a Hot/Warm/DR solution, you may need to switch between these, from time to time. Ensuring that your systems are in sync and ready to be failed over too, at a moment’s notice is imperative. Performing this task on your own time scale will assist with practicing the steps necessary inside the database, as well as outside the database. A lot of moving parts are involved in a DB Switch. Let’s discuss what you as a data professional can do to assist in this endeavor.
Speaker(s): TJay Belt,
Abstract:
In this session we will concentrate largely upon crafting simple MDX expressions and queries whose purposes, for the most part, are to return a set of data. We will overview the structure of a cube, using as a basis the sample Adventure Works cube that is available to anyone installing SQL Server Analysis Services 2008 R2. We will then outline the components of simple MDX syntax, and get started writing basic expressions and queries. We will expose basic member functions, introduce filters (or “slicers”), and begin exploring core MDX functionality, including calculated members, and named sets.
Speaker(s): William E Pearson III,
Abstract:
Managing DDL scripts has always been one of the biggest challenges facing Database Developers. How do you keep your Development, Test, Stage, and Production Environments in sync? Why aren't databases tightly integrated into source control systems like application code is? Visual Studio 2010 Database projects solve all these problems and more. In this session, we will learn how to use Visual Studio to treat database objects as the first-class citizens they have always been.
Speaker(s): Randy Knight,
Abstract:
Including the fiscal calendars of major customers within the date dimensions of their own cubes has great appeal to many organizations, including financial services firms and the like. After all, having customer calendars in their cubes' date dimension means sales and marketing managers can analyze - and report upon - data according to the fiscal calendar of the customer, as well as within the context of their own. In this session, we look at a way we can accomplish this by implementing a SQL Server Analysis Services many-to-many scenario.
Speaker(s): William E Pearson III,
Abstract:
In this session we will explore some practical scripts to help create database documentation. We will be looking at how to make some of those documentation tasks easier, while giving you greater insight into your database(s). Attendees will be able to leave with some additional tools for their toolbox and through the use of these scripts the attendee will be able to perform these tasks faster.
Speaker(s): Jason Brimhall,
Abstract:
Over the last 3 versions of SQL Server, Microsoft has included a variety of tools which make managing and monitoring SQL Server much easier. Policy Based Management, the Management Data Warehouse, Central Management Servers, and Utility Control Points all make a DBA's job much easier, particularly if you are responsbile for a large number of instances. In this session, we will review each of these tools and how they can be implemented in an integrated fashion to provide an enterprise view of your database ecosystem.
Speaker(s): Randy Knight,
Abstract:
In this session we will cover the basics and delve into the advanced techniques which can be used to cluster Windows servers using the Windows Cluster Service, what sort of protection this provides you, and how to properly set up your clusters for a rock solid environment which will last you for many years to come. We will start with planning our cluster configuration, selecting our software, and walk through the process of clustering two servers together into an active passive cluster. We will cover the differences between a standalone machine and clusters with regard to licensing and multiple instance configurations.
Speaker(s): Denny Cherry,
Abstract:
Breakfast of bagels and coffee will be served during registration.
Speaker(s): Pat Wright,
Abstract:
The key to being able to recover data in an emergency is to have a good backup and to know how to restore that backup to get up and running again as quickly as possible. In this session we'll talk about how to design a backup and restore strategy that's a good fit for you, including discussion around the types of backups that can be taken. We will also work through a couple of demos showing backup and restore in action. After all a backup is only good if you can restore it.
Speaker(s): Nicholas Cain,
Abstract:
We have all been on a vacation. Our thoughts sometimes are to get to the rides quickly so that we can hit each one and get through the park without missing anything. This talk will be on given a list of points (Attractions) and their pairwise distances, the task is to find a shortest possible tour that visits each point (Attractions) exactly once. We will be discussing Dkjkstra's routing algorithm to solve the problem using T-SQL.
Speaker(s): Scott Heffron,
Abstract:
Ever wondered how SQL Server can provide extra security for your database as it sits on the disk? This session will cover how to set it up, and some of the requirements to make it work. I will also discuss some of the gotchas that you must watch for when using TDE.
Speaker(s): Ben Miller,
Abstract:
In today's enterprise environments, it is becoming increasingly necessary to integrate data from a variety of sources. As SQL Server continues its march into the enterprise, the days of focusing 100% on one platform are over. At a bare minimum, we need to be able to communicate with DBA's for other platforms. Terminology as simple as Instance and Database mean very different things in Oracle than they do in SQL Server. In this session, we will compare and contrast the two platforms in terms of features and terminology. We will also discuss some of the best practices and pitfalls when integrating the two.
Speaker(s): Randy Knight,
Abstract:
We all hear that infamous statement “My query is running slow”. In this session we’ll review queries to show you what can be done to correct poorly running queries. We’ll review the execution plans and what you should look for. We’ll discuss Set based logic vs procedural based logic. We’ll discuss Functions and their effect on performance.
Speaker(s): Pat Wright,
Abstract:
We have all needed to know what is happening in our database systems. We have often been tasked with finding poor performing queries. Maybe we are being hit with Auditing and Compliance needs. All these and many more issues can be resolved with SQL Server Profiler. Maybe with SQL Server Trace. But which one, and when? Auditing databases can be tiresome, but a good trace and supporting reports can really help out. This presentation will show you some of my own ideas, along with others' ideas on best uses for Profiler and Trace. Once armed with this knowledge, you should be able to take it back to your shops and implement systems that assist you track down these issues more easily.
Speaker(s): TJay Belt,
Abstract:
Lunch will be provided by Tek systems.
Speaker(s): Pat Wright,
Abstract:
One of the biggest issues in database performance centers around storage. It’s also one of the hardest places to troubleshoot performance issues because storage engineers and database administrators often do not speak the same language. In this session, we’ll be looking at storage from both the database and storage perspectives. We’ll be digging into LUNs, HBAs, the fabric, as well as RAID Groups. In addition to theory, we’ll be looking at an actual EMC SAN so that we can translate what we see in the Storage Array with what we see on the actual server.
Speaker(s): Denny Cherry,
Abstract:
LightSwitch is a new member of the Visual Studio family that is targeted to the business developer. But as a DBA, you may find great functionality from it. This session will provide a high-level overview of LightSwitch and discuss how users will access data. You will also learn useful ways to use LightSwitch in your daily work.
Speaker(s): Craig Berntson,
This is a list of speakers from the XML Guidebook records. The details and URLs were valid at the time of the event.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
LinkedIn: http://www.linkedin.com/in/dbaduck/
Contact: https://dbaduck.com
Ben has been a member of the SQL Server Community since 2000. He loves a challenge and has fixed many SQL Servers and helped hundreds of people get more out of their DBA jobs. He is a Data Platform MVP a SQL Server Certified Master (MCM). He has worked at various companies throughout the USA, as well as at Microsoft for 7 years. He is passionate about SQL Server Infrastructure, High Availability, Automation and Integration using SMO and PowerShell. He teaches DBAs how to use PowerShell to do their job and teaches SQL Server Internals. He is @DBAduck all around the web (Twitter, LinkedIn, Facebook, Blog) so let's catch up.
LinkedIn: https://www.linkedin.com/e/fpf/252170891
Contact: https://mvp.support.microsoft.com/profile=02C5CD07-7511-4151-A678-3A4A3451F85E
Bill Pearson created Island Technologies Inc. in 1997, and has developed a large and diverse customer base since. Bill#39;s background as a CPA, Internal Auditor, Management Accountant, and SQL Server MVP (BI) enables him to provide value to clients as a liaison between Accounting / Finance and Information Services. Bill has implemented enterprise business intelligence systems over the years for many Fortune 500 companies and focuses his practice upon the integrated Microsoft Business Intelligence
Randy Knight (MCITP) is an IT Professional who has been working with Microsoft technology for over 20 years, focusing on SQL Server for the last 14. He has worked in a variety of settings, including six years as a Database Architect for one of the largest and most successful dot coms.
LinkedIn: http://www.linkedin.com/in/patwright
Contact: http://www.sqlasylum.com
Pat Wright has been working in the DBA space for 10+ years. Focusing on Performance tuning and ETL/DW projects. He helped found the local SQL Users group(www.slcsql.com) and founded the Not For profit Organization Utah Geek Events(www.utahgeekevents.com) which was founded to help the local community put on events.
Contact: http://www.craigberntson.com
Craig Berntson has been a Microsoft MVP since 1996, most recently for C# and has spoken at developer events across the US, Canada, and Europe. He is the co-author of the book “Continuous Integration in .NET” available from Manning. Craig lives Salt Lake City where he develops hospital database and analytical software for a Fortune 100 company. You can contact him at<EMAIL_ADDRESS>through his blog at www.craigberntson.com/blog, or on Twitter, www.twtter.com/craigber.
LinkedIn: https://www.linkedin.com/in/mrdenny
Contact: https://www.dcac.com
Denny Cherry is the owner and principal consultant for Denny Cherry Associates Consulting and has over a decade of experience working with platforms such as Microsoft Azure, Amazon AWS, Microsoft SQL Server, Hyper-V, vSphere, and Enterprise Storage solutions. Denny’s areas of technical expertise include system architecture, performance tuning, security, replication, and troubleshooting. Denny currently holds several Microsoft Certifications related to SQL Server 2000 through 2019, including being a Microsoft Certified Master, Microsoft MVP and VMware vExpert Award.
Contact: http://sirsql.net
Nicholas Cain is a Microsoft Certified Master with over 12 years of enterprise database administration experience. He has worked with all versions of SQL Server since 7.0 in critical highly available production environments. He has not hired dozens of DBAs over the last few years.
LinkedIn: http://www.linkedin.com/in/tjaybelt/
Contact: http://tjaybelt.blogspot.com
TJay Belt is an outdoorsman at heart who enjoys riding dirtbikes, waterskiing, boating, playing racquetball and spending time with his family. When he can't be out playing, TJay loves to tinker with databases. TJay has been an IT professional for over a decade and a half. Currently serving as a Senior Database Administrator with Imagine Learning. TJay has progressed through several roles in his database career including developer, data guy, database developer, database analyst and DBA.
Contact: http://www.CTR-SQL.com
Scott Heffron has been developing database integration processes for 20+ years. His initial project was a GIS project that transferred data between Oracle, SQL Server, and Sybase. He has been working in the integration area ever since. He is currently working on integration project that analyzes data across multiple carriers.
Contact: http://sirsql.net
Nicholas Cain is a Microsoft Certified Master with over 12 years of enterprise database administration experience. He has worked with all versions of SQL Server since 7.0 in critical highly available production environments. He has not hired dozens of DBAs over the last few years.
Randy Knight (MCITP) is an IT Professional who has been working with Microsoft technology for over 20 years, focusing on SQL Server for the last 14. He has worked in a variety of settings, including six years as a Database Architect for one of the largest and most successful dot coms.
LinkedIn: http://www.linkedin.com/in/patwright
Contact: http://www.sqlasylum.com
Pat Wright has been working in the DBA space for 10+ years. Focusing on Performance tuning and ETL/DW projects. He helped found the local SQL Users group(www.slcsql.com) and founded the Not For profit Organization Utah Geek Events(www.utahgeekevents.com) which was founded to help the local community put on events.
LinkedIn: https://www.linkedin.com/in/mrdenny
Contact: https://www.dcac.com
Denny Cherry is the owner and principal consultant for Denny Cherry Associates Consulting and has over a decade of experience working with platforms such as Microsoft Azure, Amazon AWS, Microsoft SQL Server, Hyper-V, vSphere, and Enterprise Storage solutions. Denny’s areas of technical expertise include system architecture, performance tuning, security, replication, and troubleshooting. Denny currently holds several Microsoft Certifications related to SQL Server 2000 through 2019, including being a Microsoft Certified Master, Microsoft MVP and VMware vExpert Award.
LinkedIn: https://www.linkedin.com/in/dbajbrimhall/
Contact: http://jasonbrimhall.info
Jason Brimhall has more than 20 years of experience and has worked with SQL Server 6.5 through SQL Server 2019. He has experience in performance tuning, high transaction environments, and large environments. He is currently a consultant specializing in performance tuning, server analysis, and problem resolution. Jason is a Microsoft Certified Master (MCM) and a Data Platform MVP.
Randy Knight (MCITP) is an IT Professional who has been working with Microsoft technology for over 20 years, focusing on SQL Server for the last 14. He has worked in a variety of settings, including six years as a Database Architect for one of the largest and most successful dot coms.
LinkedIn: http://www.linkedin.com/in/patwright
Contact: http://www.sqlasylum.com
Pat Wright has been working in the DBA space for 10+ years. Focusing on Performance tuning and ETL/DW projects. He helped found the local SQL Users group(www.slcsql.com) and founded the Not For profit Organization Utah Geek Events(www.utahgeekevents.com) which was founded to help the local community put on events.
LinkedIn: http://www.linkedin.com/in/tjaybelt/
Contact: http://tjaybelt.blogspot.com
TJay Belt is an outdoorsman at heart who enjoys riding dirtbikes, waterskiing, boating, playing racquetball and spending time with his family. When he can't be out playing, TJay loves to tinker with databases. TJay has been an IT professional for over a decade and a half. Currently serving as a Senior Database Administrator with Imagine Learning. TJay has progressed through several roles in his database career including developer, data guy, database developer, database analyst and DBA.
LinkedIn: https://www.linkedin.com/in/mrdenny
Contact: https://www.dcac.com
Denny Cherry is the owner and principal consultant for Denny Cherry Associates Consulting and has over a decade of experience working with platforms such as Microsoft Azure, Amazon AWS, Microsoft SQL Server, Hyper-V, vSphere, and Enterprise Storage solutions. Denny’s areas of technical expertise include system architecture, performance tuning, security, replication, and troubleshooting. Denny currently holds several Microsoft Certifications related to SQL Server 2000 through 2019, including being a Microsoft Certified Master, Microsoft MVP and VMware vExpert Award.
The following is a list of sponsors that helped fund the event.


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{% extends "_base.html" %} {% block content %}
I am a very simple card. I am good at containing small bits of information.
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|
LPDMvvmKit
|
Instance Methods | |
| (void) | - setReactState:withMessage: |
| 设置视图交互状态 | |
| (void) | - setSubmittingWithMessage: |
| 设置正在提交表单 | |
Properties | |
| RACSignal * | viewDidLoadSignal |
| RACSignal * | viewDidLayoutSubviewsSignal |
| RACSignal * | didBecomeActiveSignal |
| RACSignal * | didBecomeInactiveSignal |
| LPDViewNetworkState | networkState |
| 设置网络状态 | |
| LPDViewReactState | reactState |
| 视图交互状态 | |
| BOOL | submitting |
| 正在提交表单 | |
| RACSubject * | successSubject |
| 成功，完成 | |
| RACSubject * | errorSubject |
| 错误 | |


About Us
Master Steve Shover has over 45 years' experience in the martial arts. Throughout his career he has developed many Black Belts, including several instructors.
He has also helped develop many studios and clubs that are still active today, with few exceptions. He has worked in nightclub security, law enforcement, private security and
executive protection. He is a wealth of practical, real-world experience that few instructors can offer!
Credentials
The following are some of Master Shover's credentials and certifications for martial arts, self-defense, and executive/personal protection
- 10th Dan Black Belt - Kenpo Jiu Jitsu
- 10th Dan Black Belt - Kempo Jitsu
- 9th Dan Black Belt - Original Kenpo (Tracy's)
- 8th Degree Black Belt/Sash - Kung Fu San Soo
- 3rd Dan Black BeltYoshin Ryu Jujitsu
- Grand Master - United Fist Law Association
- Professor of Martial Arts - Nippon Martial Arts Renmei
- Graduate - Executive Protection Institute
- Certified Instructor - Police Self Defense
- Certified Instructor - Self Defense
- Certified Personal Protection Specialist
- 2007 Inductee - Kenpo International Hall of Fame
- Life Member - Nippon Martial Arts Renmei
- Member - National Teacher Association of Kung Fu San Soo
- Member - International Federation of Yoshin Ryu Jujitsu
- Member - Karazenpo Go Shinjutsu Black Belt Society


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Javascript Examples
Example - 1: Differences between local and global variables.
Example - 2: Display the Boolean value of True and true.
Example - 3: Description: Bitwise operators vs boolean operators.
Example - 4: Equal (==) vs Identical Equal (===).
Example - 5: Pre-defined argument array in a function.
Example - 6: Primitive vs Reference values.


divide()
or setScale()
without a rounding mode argument.
Such calls can lead to an ArithmeticException
when the exact value cannot be represented in the result
(for example, because it has a non-terminating decimal expansion).
Specifying a rounding mode prevents the ArithmeticException
.
Example:
BigDecimal.valueOf(1).divide(BigDecimal.valueOf(3));


1. Get list of devices based on lat,lon and radius parameters. Send command with "Submit" button. Will return only the latest sensor value for each device found.
2. Get all data from a specific device. Please form 1 to get IDs first and place that uuid to this form to get response, will return only last sensor event recorded"
3. POST command tester
3. POST command tester


{% extends "layouts/_block_content.html" %} {% from "components/breadcrumbs/_macro.njk" import onsBreadcrumbs %} {% from "components/button/_macro.njk" import onsButton %} {% from "components/list/_macro.njk" import onsList %} {% set page_title = "Help not received the password reset email" %} {% set breadcrumbsData = [ { "text": "Sign in", "url": "/sign-in" }, { "text": "Help", "url": "/help" }, { "text": "Help with my password", "url": "/help/help-with-my-password" } ] %} {% block breadcrumbs %} {{ onsBreadcrumbs({ "ariaLabel": "Breadcrumbs", "id": "breadcrumbs", "itemsList": breadcrumbsData }) }} {% endblock breadcrumbs %} {% block main %}
Please check:
{{ onsList({ "itemsList": [ { "text": 'that your inbox is not full' }, { "text": 'if our email has gone to your junk folder' }, { "text": 'that the email address you use to sign in is correct' }, { "text": 'that the email address<EMAIL_ADDRESS>is added to your list of approved senders' } ] }) }}If you need more help, please contact us.
{% endblock main %}


Card 1
cart 1 description, short and conscise
Jedi Disco Sabel
Slap together 4 parametric equations to animate two line segments with the trasparent trail
Card 3
cart 3 description, short and conscise
Card 4 with a long name
cart 4 description, short and conscise