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authorFavioVazquez <favio.vazquezp@gmail.com>2015-05-14 15:22:58 +0100
committerSean Owen <sowen@cloudera.com>2015-05-14 15:22:58 +0100
commit7fb715de6d90c3eb756935440f75b1de674f8ece (patch)
tree3ab15d2cb807da9de933716d293ab7653f6808fb /docs
parentc1080b6fddb22d84694da2453e46a03fbc041576 (diff)
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[SPARK-7249] Updated Hadoop dependencies due to inconsistency in the versions
Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons. Changes proposed by vanzin resulting from previous pull-request https://github.com/apache/spark/pull/5783 that did not fixed the problem correctly. Please let me know if this is the correct way of doing this, the comments of vanzin are in the pull-request mentioned. Author: FavioVazquez <favio.vazquezp@gmail.com> Closes #5786 from FavioVazquez/update-hadoop-dependencies and squashes the following commits: 11670e5 [FavioVazquez] - Added missing instance of -Phadoop-2.2 in create-release.sh 379f50d [FavioVazquez] - Added instances of -Phadoop-2.2 in create-release.sh, run-tests, scalastyle and building-spark.md - Reconstructed docs to not ask users to rely on default behavior 3f9249d [FavioVazquez] Merge branch 'master' of https://github.com/apache/spark into update-hadoop-dependencies 31bdafa [FavioVazquez] - Added missing instances in -Phadoop-1 in create-release.sh, run-tests and in the building-spark documentation cbb93e8 [FavioVazquez] - Added comment related to SPARK-3710 about hadoop-yarn-server-tests in Hadoop 2.2 that fails to pull some needed dependencies 83dc332 [FavioVazquez] - Cleaned up the main POM concerning the yarn profile - Erased hadoop-2.2 profile from yarn/pom.xml and its content was integrated into yarn/pom.xml 93f7624 [FavioVazquez] - Deleted unnecessary comments and <activation> tag on the YARN profile in the main POM 668d126 [FavioVazquez] - Moved <dependencies> <activation> and <properties> sections of the hadoop-2.2 profile in the YARN POM to the YARN profile in the root POM - Erased unnecessary hadoop-2.2 profile from the YARN POM fda6a51 [FavioVazquez] - Updated hadoop1 releases in create-release.sh due to changes in the default hadoop version set - Erased unnecessary instance of -Dyarn.version=2.2.0 in create-release.sh - Prettify comment in yarn/pom.xml 0470587 [FavioVazquez] - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in create-release.sh - Updated how the releases are made in the create-release.sh no that the default hadoop version is the 2.2.0 - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in scalastyle - Erased unnecessary instance of -Phadoop-2.2 -Dhadoop.version=2.2.0 in run-tests - Better example given in the hadoop-third-party-distributions.md now that the default hadoop version is 2.2.0 a650779 [FavioVazquez] - Default value of avro.mapred.classifier has been set to hadoop2 in pom.xml - Cleaned up hadoop-2.3 and 2.4 profiles due to change in the default set in avro.mapred.classifier in pom.xml 199f40b [FavioVazquez] - Erased unnecessary CDH5-specific note in docs/building-spark.md - Remove example of instance -Phadoop-2.2 -Dhadoop.version=2.2.0 in docs/building-spark.md - Enabled hadoop-2.2 profile when the Hadoop version is 2.2.0, which is now the default .Added comment in the yarn/pom.xml to specify that. 88a8b88 [FavioVazquez] - Simplified Hadoop profiles due to new setting of global properties in the pom.xml file - Added comment to specify that the hadoop-2.2 profile is now the default hadoop profile in the pom.xml file - Erased hadoop-2.2 from related hadoop profiles now that is a no-op in the make-distribution.sh file 70b8344 [FavioVazquez] - Fixed typo in the make-distribution.sh file and added hadoop-1 in the Related profiles 287fa2f [FavioVazquez] - Updated documentation about specifying the hadoop version in building-spark. Now is clear that Spark will build against Hadoop 2.2.0 by default. - Added Cloudera CDH 5.3.3 without MapReduce example in the building-spark doc. 1354292 [FavioVazquez] - Fixed hadoop-1 version to match jenkins build profile in hadoop1.0 tests and documentation 6b4bfaf [FavioVazquez] - Cleanup in hadoop-2.x profiles since they contained mostly redundant stuff. 7e9955d [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons 660decc [FavioVazquez] - Updated Hadoop dependencies due to inconsistency in the versions. Now the global properties are the ones used by the hadoop-2.2 profile, and the profile was set to empty but kept for backwards compatibility reasons ec91ce3 [FavioVazquez] - Updated protobuf-java version of com.google.protobuf dependancy to fix blocking error when connecting to HDFS via the Hadoop Cloudera HDFS CDH5 (fix for 2.5.0-cdh5.3.3 version)
Diffstat (limited to 'docs')
-rw-r--r--docs/building-spark.md11
-rw-r--r--docs/hadoop-third-party-distributions.md2
2 files changed, 7 insertions, 6 deletions
diff --git a/docs/building-spark.md b/docs/building-spark.md
index 287fcd3c40..6e310ff424 100644
--- a/docs/building-spark.md
+++ b/docs/building-spark.md
@@ -59,14 +59,14 @@ You can fix this by setting the `MAVEN_OPTS` variable as discussed before.
# Specifying the Hadoop Version
-Because HDFS is not protocol-compatible across versions, if you want to read from HDFS, you'll need to build Spark against the specific HDFS version in your environment. You can do this through the "hadoop.version" property. If unset, Spark will build against Hadoop 1.0.4 by default. Note that certain build profiles are required for particular Hadoop versions:
+Because HDFS is not protocol-compatible across versions, if you want to read from HDFS, you'll need to build Spark against the specific HDFS version in your environment. You can do this through the "hadoop.version" property. If unset, Spark will build against Hadoop 2.2.0 by default. Note that certain build profiles are required for particular Hadoop versions:
<table class="table">
<thead>
<tr><th>Hadoop version</th><th>Profile required</th></tr>
</thead>
<tbody>
- <tr><td>1.x to 2.1.x</td><td>(none)</td></tr>
+ <tr><td>1.x to 2.1.x</td><td>hadoop-1</td></tr>
<tr><td>2.2.x</td><td>hadoop-2.2</td></tr>
<tr><td>2.3.x</td><td>hadoop-2.3</td></tr>
<tr><td>2.4.x</td><td>hadoop-2.4</td></tr>
@@ -77,10 +77,10 @@ For Apache Hadoop versions 1.x, Cloudera CDH "mr1" distributions, and other Hado
{% highlight bash %}
# Apache Hadoop 1.2.1
-mvn -Dhadoop.version=1.2.1 -DskipTests clean package
+mvn -Dhadoop.version=1.2.1 -Phadoop-1 -DskipTests clean package
# Cloudera CDH 4.2.0 with MapReduce v1
-mvn -Dhadoop.version=2.0.0-mr1-cdh4.2.0 -DskipTests clean package
+mvn -Dhadoop.version=2.0.0-mr1-cdh4.2.0 -Phadoop-1 -DskipTests clean package
{% endhighlight %}
You can enable the "yarn" profile and optionally set the "yarn.version" property if it is different from "hadoop.version". Spark only supports YARN versions 2.2.0 and later.
@@ -88,8 +88,9 @@ You can enable the "yarn" profile and optionally set the "yarn.version" property
Examples:
{% highlight bash %}
+
# Apache Hadoop 2.2.X
-mvn -Pyarn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package
+mvn -Pyarn -Phadoop-2.2 -DskipTests clean package
# Apache Hadoop 2.3.X
mvn -Pyarn -Phadoop-2.3 -Dhadoop.version=2.3.0 -DskipTests clean package
diff --git a/docs/hadoop-third-party-distributions.md b/docs/hadoop-third-party-distributions.md
index 96bd69ca3b..795dd82a6b 100644
--- a/docs/hadoop-third-party-distributions.md
+++ b/docs/hadoop-third-party-distributions.md
@@ -14,7 +14,7 @@ property. For certain versions, you will need to specify additional profiles. Fo
see the guide on [building with maven](building-spark.html#specifying-the-hadoop-version):
mvn -Dhadoop.version=1.0.4 -DskipTests clean package
- mvn -Phadoop-2.2 -Dhadoop.version=2.2.0 -DskipTests clean package
+ mvn -Phadoop-2.3 -Dhadoop.version=2.3.0 -DskipTests clean package
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