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authorCheng Lian <lian@databricks.com>2015-08-17 17:25:14 -0700
committerReynold Xin <rxin@databricks.com>2015-08-17 17:25:14 -0700
commit52ae952574f5d641a398dd185e09e5a79318c8a9 (patch)
tree2299828146fae1ab7641cea6e73045e50ed51bf2 /pom.xml
parent088b11ec5949e135cb3db2a1ce136837e046c288 (diff)
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[SPARK-9974] [BUILD] [SQL] Makes sure com.twitter:parquet-hadoop-bundle:1.6.0 is in SBT assembly jar
PR #7967 enables Spark SQL to persist Parquet tables in Hive compatible format when possible. One of the consequence is that, we have to set input/output classes to `MapredParquetInputFormat`/`MapredParquetOutputFormat`, which rely on com.twitter:parquet-hadoop:1.6.0 bundled with Hive 1.2.1. When loading such a table in Spark SQL, `o.a.h.h.ql.metadata.Table` first loads these input/output format classes, and thus classes in com.twitter:parquet-hadoop:1.6.0. However, the scope of this dependency is defined as "runtime", and is not packaged into Spark assembly jar. This results in a `ClassNotFoundException`. This issue can be worked around by asking users to add parquet-hadoop 1.6.0 via the `--driver-class-path` option. However, considering Maven build is immune to this problem, I feel it can be confusing and inconvenient for users. So this PR fixes this issue by changing scope of parquet-hadoop 1.6.0 to "compile". Author: Cheng Lian <lian@databricks.com> Closes #8198 from liancheng/spark-9974/bundle-parquet-1.6.0.
Diffstat (limited to 'pom.xml')
-rw-r--r--pom.xml2
1 files changed, 1 insertions, 1 deletions
diff --git a/pom.xml b/pom.xml
index cfd7d32563..9bfca1c417 100644
--- a/pom.xml
+++ b/pom.xml
@@ -1598,7 +1598,7 @@
<groupId>com.twitter</groupId>
<artifactId>parquet-hadoop-bundle</artifactId>
<version>${hive.parquet.version}</version>
- <scope>runtime</scope>
+ <scope>compile</scope>
</dependency>
<dependency>
<groupId>org.apache.flume</groupId>