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https://issues.apache.org/jira/browse/SPARK-34651?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17304676#comment-17304676
]
Stanislav Savulchik edited comment on SPARK-34651 at 3/19/21, 7:18 AM:
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[~dongjoon] I noticed that "zstd" is not supported as a short compression codec
name for text files in spark 3.1.1 though I can use it via its full class name
{{org.apache.hadoop.io.compress.ZStandardCodec}} in
{code:java}
scala>
spark.read.textFile("hdfs://path/to/file.txt").write.option("compression",
"zstd").text("hdfs://path/to/file.txt.zst")
java.lang.IllegalArgumentException: Codec [zstd] is not available. Known codecs
are bzip2, deflate, uncompressed, lz4, gzip, snappy, none.
at
org.apache.spark.sql.catalyst.util.CompressionCodecs$.getCodecClassName(CompressionCodecs.scala:53)
at
org.apache.spark.sql.execution.datasources.text.TextOptions.$anonfun$compressionCodec$1(TextOptions.scala:37)
at scala.Option.map(Option.scala:230)
at
org.apache.spark.sql.execution.datasources.text.TextOptions.<init>(TextOptions.scala:37)
at
org.apache.spark.sql.execution.datasources.text.TextOptions.<init>(TextOptions.scala:32)
at
org.apache.spark.sql.execution.datasources.text.TextFileFormat.prepareWrite(TextFileFormat.scala:72)
at
org.apache.spark.sql.execution.datasources.FileFormatWriter$.write(FileFormatWriter.scala:133)
...
scala>
spark.read.textFile("hdfs://pato/to/file.txt").write.option("compression",
"org.apache.hadoop.io.compress.ZStandardCodec").text("hdfs://path/to/file.txt.zst")
// no exceptions{code}
Source code for the stack frame above
[https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CompressionCodecs.scala#L29]
Should I create a Jira issue to add a short codec name for zstd to the list?
was (Author: savulchik):
[~dongjoon] I noticed that "zstd" is not supported as a short compression codec
name for text files in spark 3.1.1 though I can use it via its full class name
{{org.apache.hadoop.io.compress.ZStandardCodec}} in
{code:java}
scala>
spark.read.textFile("hdfs://path/to/file.txt").write.option("compression",
"zstd").text("hdfs://path/to/file.txt.zst")
java.lang.IllegalArgumentException: Codec [zstd] is not available. Known codecs
are bzip2, deflate, uncompressed, lz4, gzip, snappy, none.
at
org.apache.spark.sql.catalyst.util.CompressionCodecs$.getCodecClassName(CompressionCodecs.scala:53)
...
scala>
spark.read.textFile("hdfs://pato/to/file.txt").write.option("compression",
"org.apache.hadoop.io.compress.ZStandardCodec").text("hdfs://path/to/file.txt.zst")
// no exceptions{code}
Source code for the stack frame above
[https://github.com/apache/spark/blob/master/sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/util/CompressionCodecs.scala#L29]
Should I create a Jira issue to add a short codec name for zstd to the list?
> Improve ZSTD support
> --------------------
>
> Key: SPARK-34651
> URL: https://issues.apache.org/jira/browse/SPARK-34651
> Project: Spark
> Issue Type: Umbrella
> Components: Spark Core, SQL
> Affects Versions: 3.2.0
> Reporter: Dongjoon Hyun
> Priority: Major
>
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