spark-instrumented-optimizer/docs/streaming-kafka-integration.md
Sean Owen 4fbf748bf8 [SPARK-21893][BUILD][STREAMING][WIP] Put Kafka 0.8 behind a profile
## What changes were proposed in this pull request?

Put Kafka 0.8 support behind a kafka-0-8 profile.

## How was this patch tested?

Existing tests, but, until PR builder and Jenkins configs are updated the effect here is to not build or test Kafka 0.8 support at all.

Author: Sean Owen <sowen@cloudera.com>

Closes #19134 from srowen/SPARK-21893.
2017-09-13 10:10:40 +01:00

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---
layout: global
title: Spark Streaming + Kafka Integration Guide
---
[Apache Kafka](https://kafka.apache.org/) is publish-subscribe messaging rethought as a distributed, partitioned, replicated commit log service. Please read the [Kafka documentation](https://kafka.apache.org/documentation.html) thoroughly before starting an integration using Spark.
The Kafka project introduced a new consumer API between versions 0.8 and 0.10, so there are 2 separate corresponding Spark Streaming packages available. Please choose the correct package for your brokers and desired features; note that the 0.8 integration is compatible with later 0.9 and 0.10 brokers, but the 0.10 integration is not compatible with earlier brokers.
**Note: Kafka 0.8 support is deprecated as of Spark 2.3.0.**
<table class="table">
<tr><th></th><th><a href="streaming-kafka-0-8-integration.html">spark-streaming-kafka-0-8</a></th><th><a href="streaming-kafka-0-10-integration.html">spark-streaming-kafka-0-10</a></th></tr>
<tr>
<td>Broker Version</td>
<td>0.8.2.1 or higher</td>
<td>0.10.0 or higher</td>
</tr>
<tr>
<td>API Maturity</td>
<td>Deprecated</td>
<td>Stable</td>
</tr>
<tr>
<td>Language Support</td>
<td>Scala, Java, Python</td>
<td>Scala, Java</td>
</tr>
<tr>
<td>Receiver DStream</td>
<td>Yes</td>
<td>No</td>
</tr>
<tr>
<td>Direct DStream</td>
<td>Yes</td>
<td>Yes</td>
</tr>
<tr>
<td>SSL / TLS Support</td>
<td>No</td>
<td>Yes</td>
</tr>
<tr>
<td>Offset Commit API</td>
<td>No</td>
<td>Yes</td>
</tr>
<tr>
<td>Dynamic Topic Subscription</td>
<td>No</td>
<td>Yes</td>
</tr>
</table>