db-scheduler | Persistent cluster-friendly scheduler for Java | Job Scheduling library
kandi X-RAY | db-scheduler Summary
kandi X-RAY | db-scheduler Summary
db-scheduler is a Java library typically used in Data Processing, Job Scheduling applications. db-scheduler has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub, Maven.
Persistent cluster-friendly scheduler for Java
Persistent cluster-friendly scheduler for Java
Support
Quality
Security
License
Reuse
Support
db-scheduler has a medium active ecosystem.
It has 860 star(s) with 150 fork(s). There are 13 watchers for this library.
It had no major release in the last 12 months.
There are 69 open issues and 156 have been closed. On average issues are closed in 86 days. There are 8 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of db-scheduler is 12.5.0
Quality
db-scheduler has no bugs reported.
Security
db-scheduler has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
db-scheduler is licensed under the Apache-2.0 License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
Reuse
db-scheduler releases are available to install and integrate.
Deployable package is available in Maven.
Build file is available. You can build the component from source.
Installation instructions, examples and code snippets are available.
Top functions reviewed by kandi - BETA
kandi has reviewed db-scheduler and discovered the below as its top functions. This is intended to give you an instant insight into db-scheduler implemented functionality, and help decide if they suit your requirements.
- Execute the task
- Add a runnable to the queue
- Runs the task
- Executes an execution
- Cancels the task
- Checks if a task instance is ready to be executed
- Pick a task
- Find the execution for a given task
- Loops through all executions and checks for executions in the scheduler
- Find the execution for the given task name
- Sets the scheduler
- Creates a DataSource proxy for the given DataSource
- Retrieves the executions that are scheduled
- Scheduler
- Run a tracking task
- Run the example task
- Cache supplier
- Update an execution
- Run a task
- Run the job
- Locks and returns the latest executions
- Runs the printer
- Updates heartbeats for all executions
- Run the scheduler
- Executes the task
- Create a task instance
Get all kandi verified functions for this library.
db-scheduler Key Features
No Key Features are available at this moment for db-scheduler.
db-scheduler Examples and Code Snippets
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import tensorflow.keras as keras
import tensorflow as tf
from tensorflow.keras.utils import Sequence
feature_format = {"a": tf.io.FixedLenFeature((1,), dtype=tf.int64),"b": tf.io.FixedLenFeature((1,), dtype=tf.int64)}
label_format = { "l
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WIN key → Apps & features → optional features → Install open SSH client
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// Query rendered features at point
mapView.mapboxMap.queryRenderedFeatures(at: point, options: nil, completion: { [weak self] result in
switch result {
case .success(let features):
// Do something with the features
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from sklearn import svm
from sklearn import datasets
iris = datasets.load_iris()
X = iris.data
y = iris.target
clf = svm.SVC(class_weight={0: 3, 1: 1, 2: 1})
clf.fit(X, y)
from sklearn.linear_model import LinearRe
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map.addSource('states', {
'type': 'geojson',
'data': 'https://hiven.github.io/map2/hexagons.geojson',
'generateId': true //This ensures that all features have unique IDs
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# modules/azure/subnet.main.tf
resource "azurerm_subnet" "subnet" {
name = var.subnet_name
resource_group_name = var.resource_group_name
virtual_network_name = var.virtual_network_name
address_prefixes = var.s
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$(document).ready(function () {
$('.toggle-menu').on('click', function () {
$('.exo-menu').toggleClass('display');
});
$(".mega-drop-down").on('click', function () {
if (window.innerWidth <= 768) {
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features = [1., 2., 5., 6.]
print("mean {}, std {}".format(np.mean(features), np.std(features)))
print("normalized features", (features - np.mean(features)) / np.std(features))
>>>mean 3.5, std 2.0615528128088303
>>>nor
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@CucumberOptions(
plugin = {"pretty", "html:target/surefire-reports/cucumber",
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excludePaths:
- ^_.*
- ^spark/_.*
rewritePaths:
'^spark/(.*[\/])(.*)': $1/export.parquet
uploadConfirmation: exportedFiles
incrementalType: snapshot
retriesPerFile: 0
bucketPolicy: BucketOwnerFullControl
directoryPath: features
setBu
Community Discussions
Trending Discussions on db-scheduler
QUESTION
When running mvn versions:display-dependency-updates only some dependencies are processed
Asked 2020-Mar-13 at 22:44
When I run
...ANSWER
Answered 2020-Mar-13 at 22:44Check if your project pom.xml or your maven settings.xml is not overriding the central repository, if central repo is customized, it may not contain the recent version of this dependency
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install db-scheduler
Create the scheduled_tasks table in your database-schema. See table definition for postgresql, oracle, mssql or mysql. Instantiate and start the scheduler, which then will start any defined recurring tasks. For more examples, continue reading. For details on the inner workings, see How it works. If you have a Spring Boot application, have a look at Spring Boot Usage.
Add maven dependency
Create the scheduled_tasks table in your database-schema. See table definition for postgresql, oracle, mssql or mysql.
Instantiate and start the scheduler, which then will start any defined recurring tasks.
Add the following Maven dependency <dependency> <groupId>com.github.kagkarlsson</groupId> <artifactId>db-scheduler-spring-boot-starter</artifactId> <version>11.0</version> </dependency> NOTE: This includes the db-scheduler dependency itself.
In your configuration, expose your Task's as Spring beans. If they are recurring, they will automatically be picked up and started.
If you want to expose Scheduler state into actuator health information you need to enable db-scheduler health indicator. Spring Health Information.
Run the app.
Add maven dependency
Create the scheduled_tasks table in your database-schema. See table definition for postgresql, oracle, mssql or mysql.
Instantiate and start the scheduler, which then will start any defined recurring tasks.
Add the following Maven dependency <dependency> <groupId>com.github.kagkarlsson</groupId> <artifactId>db-scheduler-spring-boot-starter</artifactId> <version>11.0</version> </dependency> NOTE: This includes the db-scheduler dependency itself.
In your configuration, expose your Task's as Spring beans. If they are recurring, they will automatically be picked up and started.
If you want to expose Scheduler state into actuator health information you need to enable db-scheduler health indicator. Spring Health Information.
Run the app.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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