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| author | Michael Armbrust <michael@databricks.com> | 2016-02-22 15:27:29 -0800 |
|---|---|---|
| committer | Michael Armbrust <michael@databricks.com> | 2016-02-22 15:27:29 -0800 |
| commit | 173aa949c309ff7a7a03e9d762b9108542219a95 (patch) | |
| tree | 8dc2978ccaa7c4011aeaeb5c358a49f055a44ef6 /sql | |
| parent | 4a91806a45a48432c3ea4c2aaa553177952673e9 (diff) | |
| download | spark-173aa949c309ff7a7a03e9d762b9108542219a95.tar.gz spark-173aa949c309ff7a7a03e9d762b9108542219a95.tar.bz2 spark-173aa949c309ff7a7a03e9d762b9108542219a95.zip | |
[SPARK-12546][SQL] Change default number of open parquet files
A common problem that users encounter with Spark 1.6.0 is that writing to a partitioned parquet table OOMs. The root cause is that parquet allocates a significant amount of memory that is not accounted for by our own mechanisms. As a workaround, we can ensure that only a single file is open per task unless the user explicitly asks for more.
Author: Michael Armbrust <michael@databricks.com>
Closes #11308 from marmbrus/parquetWriteOOM.
Diffstat (limited to 'sql')
| -rw-r--r-- | sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala b/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala index 61a7b9935a..a601c87fc9 100644 --- a/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala +++ b/sql/core/src/main/scala/org/apache/spark/sql/SQLConf.scala @@ -430,7 +430,7 @@ private[spark] object SQLConf { val PARTITION_MAX_FILES = intConf("spark.sql.sources.maxConcurrentWrites", - defaultValue = Some(5), + defaultValue = Some(1), doc = "The maximum number of concurrent files to open before falling back on sorting when " + "writing out files using dynamic partitioning.") |