文件列表:

.scalafmt.conf (388, 2023-01-25)
.travis.yml (87, 2023-01-25)
FAQ.md (6746, 2023-01-25)
LICENSE (11358, 2023-01-25)
SECURITY.md (2757, 2023-01-25)
core (0, 2023-01-25)
core\pom.xml (2026, 2023-01-25)
core\src (0, 2023-01-25)
core\src\main (0, 2023-01-25)
core\src\main\resources (0, 2023-01-25)
core\src\main\resources\META-INF (0, 2023-01-25)
core\src\main\resources\META-INF\services (0, 2023-01-25)
core\src\main\resources\META-INF\services\org.apache.spark.sql.sources.DataSourceRegister (54, 2023-01-25)
core\src\main\resources\eventhubs-source-offset-version-2.1.0.txt (47, 2023-01-25)
core\src\main\scala (0, 2023-01-25)
core\src\main\scala\org (0, 2023-01-25)
core\src\main\scala\org\apache (0, 2023-01-25)
core\src\main\scala\org\apache\spark (0, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs (0, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\ConnectionStringBuilder.scala (16259, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\EventHubsConf.scala (28171, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\EventHubsUtils.scala (8041, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\EventPosition.scala (4024, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\NameAndPartition.scala (1689, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\PartitionContext.scala (1328, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\PartitionPerformanceReceiver.scala (2854, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\PartitionsStatusTracker.scala (18955, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\TaskContextSlim.scala (1473, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\client (0, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\client\CachedEventHubsReceiver.scala (18770, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\client\Client.scala (3747, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\client\ClientConnectionPool.scala (7813, 2023-01-25)
core\src\main\scala\org\apache\spark\eventhubs\client\EventHubsClient.scala (13901, 2023-01-25)
... ...

Azure Event Hubs Connector for Apache Spark

This is the source code of the Azure Event Hubs Connector for Apache Spark. Azure Event Hubs is a highly scalable publish-subscribe service that can ingest millions of events per second and stream them into multiple applications. Spark Streaming and Structured Streaming are scalable and fault-tolerant stream processing engines that allow users to process huge amounts of data using complex algorithms expressed with high-level functions like `map`, `reduce`, `join`, and `window`. This data can then be pushed to filesystems, databases, or even back to Event Hubs. By making Event Hubs and Spark easier to use together, we hope this connector makes building scalable, fault-tolerant applications easier for our users. ## Latest Releases #### Spark |Spark Version|Package Name|Package Version| |-------------|------------|----------------| |Spark 3.0|azure-eventhubs-spark_2.12|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.12%7C2.3.22%7Cjar)| |Spark 2.4|azure-eventhubs-spark_2.11|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.11%7C2.3.22%7Cjar)| |Spark 2.4|azure-eventhubs-spark_2.12|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.12%7C2.3.22%7Cjar)| #### Databricks |Databricks Runtime Version|Artifact Id|Package Version| |-------------|------------|----------------| |Databricks Runtime 8.X|azure-eventhubs-spark_2.12|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.12%7C2.3.22%7Cjar)| |Databricks Runtime 7.X|azure-eventhubs-spark_2.12|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.12%7C2.3.22%7Cjar)| |Databricks Runtime 6.X|azure-eventhubs-spark_2.11|[](https://search.maven.org/#artifactdetails%7Ccom.microsoft.azure%7Cazure-eventhubs-spark_2.11%7C2.3.22%7Cjar)| #### Roadmap There is an open issue for each planned feature/enhancement. ## FAQ We maintain an [FAQ](FAQ.md) - reach out to us via [gitter](https://gitter.im/azure-event-hubs-spark/Lobby) if you think anything needs to be added or clarified! ## Usage ### Linking For Scala/Java applications using SBT/Maven project definitions, link your application with the artifact below. **Note:** See [Latest Releases](#latest-releases) to find the correct artifact for your version of Apache Spark (or Databricks)! groupId = com.microsoft.azure artifactId = azure-eventhubs-spark_2.11 version = 2.3.22 or groupId = com.microsoft.azure artifactId = azure-eventhubs-spark_2.12 version = 2.3.22 ### Documentation Documentation for our connector can be found [here](docs/). The integration guides there contain all the information you need to use this library. **If you're new to Apache Spark and/or Event Hubs, then we highly recommend reading their documentation first.** You can read Event Hubs documentation [here](https://docs.microsoft.com/en-us/azure/event-hubs/event-hubs-what-is-event-hubs), documentation for Spark Streaming [here](https://spark.apache.org/docs/latest/streaming-programming-guide.html), and, the last but not least, Structured Streaming [here](https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html). ### Further Assistance **If you need additional assistance, please don't hesitate to ask!** General questions and discussion should happen on our [gitter chat](https://gitter.im/azure-event-hubs-spark). Please open an issue for bug reports and feature requests! Feedback, feature requests, bug reports, etc are all welcomed! ## Contributing If you'd like to help contribute (we'd love to have your help!), then go to our [Contributor's Guide](/.github/CONTRIBUTING.md) for more information. ## Build Prerequisites In order to use the connector, you need to have: - Java 1.8 SDK installed - [Maven 3.x](https://maven.apache.org/download.cgi) installed (or [SBT version 1.x](https://www.scala-sbt.org/1.x/docs/index.html)) More details on building from source and running tests can be found in our [Contributor's Guide](/.github/CONTRIBUTING.md). ## Build Command // Builds jar and runs all tests mvn clean package // Builds jar, runs all tests, and installs jar to your local maven repository mvn clean install

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