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Diffstat (limited to 'docs/hadoop-third-party-distributions.md')
| -rw-r--r-- | docs/hadoop-third-party-distributions.md | 14 |
1 files changed, 10 insertions, 4 deletions
diff --git a/docs/hadoop-third-party-distributions.md b/docs/hadoop-third-party-distributions.md index 454877a7fa..a0aeab5727 100644 --- a/docs/hadoop-third-party-distributions.md +++ b/docs/hadoop-third-party-distributions.md @@ -9,12 +9,14 @@ with these distributions: # Compile-time Hadoop Version -When compiling Spark, you'll need to -[set the SPARK_HADOOP_VERSION flag](index.html#a-note-about-hadoop-versions): +When compiling Spark, you'll need to specify the Hadoop version by defining the `hadoop.version` +property. For certain versions, you will need to specify additional profiles. For more detail, +see the guide on [building with maven](building-with-maven.html#specifying-the-hadoop-version): - SPARK_HADOOP_VERSION=1.0.4 sbt/sbt assembly + mvn -Dhadoop.version=1.0.4 -DskipTests clean package + mvn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package -The table below lists the corresponding `SPARK_HADOOP_VERSION` code for each CDH/HDP release. Note that +The table below lists the corresponding `hadoop.version` code for each CDH/HDP release. Note that some Hadoop releases are binary compatible across client versions. This means the pre-built Spark distribution may "just work" without you needing to compile. That said, we recommend compiling with the _exact_ Hadoop version you are running to avoid any compatibility errors. @@ -46,6 +48,10 @@ the _exact_ Hadoop version you are running to avoid any compatibility errors. </tr> </table> +In SBT, the equivalent can be achieved by setting the SPARK_HADOOP_VERSION flag: + + SPARK_HADOOP_VERSION=1.0.4 sbt/sbt assembly + # Linking Applications to the Hadoop Version In addition to compiling Spark itself against the right version, you need to add a Maven dependency on that |