[
https://issues.apache.org/jira/browse/SPARK-23457?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
Dongjoon Hyun updated SPARK-23457:
----------------------------------
Description:
ParquetFileFormat leaks open files in some cases. This issue aims to register
task completion listener first.
{code}
test("SPARK-23390 Register task completion listeners first in
ParquetFileFormat") {
withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_BATCH_SIZE.key ->
s"${Int.MaxValue}") {
withTempDir { dir =>
val basePath = dir.getCanonicalPath
Seq(0).toDF("a").write.format("parquet").save(new Path(basePath,
"first").toString)
Seq(1).toDF("a").write.format("parquet").save(new Path(basePath,
"second").toString)
val df = spark.read.parquet(
new Path(basePath, "first").toString,
new Path(basePath, "second").toString)
val e = intercept[SparkException] {
df.collect()
}
assert(e.getCause.isInstanceOf[OutOfMemoryError])
}
}
}
{code}
was:
ParquetFileFormat leaks open files in some cases.
{code}
test("SPARK-23390 Register task completion listeners first in
ParquetFileFormat") {
withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_BATCH_SIZE.key ->
s"${Int.MaxValue}") {
withTempDir { dir =>
val basePath = dir.getCanonicalPath
Seq(0).toDF("a").write.format("parquet").save(new Path(basePath,
"first").toString)
Seq(1).toDF("a").write.format("parquet").save(new Path(basePath,
"second").toString)
val df = spark.read.parquet(
new Path(basePath, "first").toString,
new Path(basePath, "second").toString)
val e = intercept[SparkException] {
df.collect()
}
assert(e.getCause.isInstanceOf[OutOfMemoryError])
}
}
}
{code}
> Register task completion listeners first for Parquet
> ----------------------------------------------------
>
> Key: SPARK-23457
> URL: https://issues.apache.org/jira/browse/SPARK-23457
> Project: Spark
> Issue Type: Bug
> Components: SQL
> Affects Versions: 2.3.0
> Reporter: Dongjoon Hyun
> Priority: Major
>
> ParquetFileFormat leaks open files in some cases. This issue aims to register
> task completion listener first.
> {code}
> test("SPARK-23390 Register task completion listeners first in
> ParquetFileFormat") {
> withSQLConf(SQLConf.PARQUET_VECTORIZED_READER_BATCH_SIZE.key ->
> s"${Int.MaxValue}") {
> withTempDir { dir =>
> val basePath = dir.getCanonicalPath
> Seq(0).toDF("a").write.format("parquet").save(new Path(basePath,
> "first").toString)
> Seq(1).toDF("a").write.format("parquet").save(new Path(basePath,
> "second").toString)
> val df = spark.read.parquet(
> new Path(basePath, "first").toString,
> new Path(basePath, "second").toString)
> val e = intercept[SparkException] {
> df.collect()
> }
> assert(e.getCause.isInstanceOf[OutOfMemoryError])
> }
> }
> }
> {code}
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