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https://issues.apache.org/jira/browse/SPARK-39743?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17571995#comment-17571995
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shezm commented on SPARK-39743:
-------------------------------
[~yeachan153]
spark.io.compression.zstd.level is adapted to
{{{}spark.io.compression.codec{}}}. It only works on internal data.
If you want to set a different zstd level to write parquet files , you can set
`parquet.compression.codec.zstd.level` in sparkConf, like :
{code:java}
val spark = SparkSession
.builder()
.master("local")
.appName("spark example")
.config("spark.sql.parquet.compression.codec", "zstd")
.config("parquet.compression.codec.zstd.level", 10) // here
.getOrCreate();
val csvfile = spark.read.csv("file:///home/test_data/Reviews.csv")
csvfile.coalesce(1).write.parquet("file:///home/test_data/nn_parq_10"){code}
> Unable to set zstd compression level while writing parquet files
> ----------------------------------------------------------------
>
> Key: SPARK-39743
> URL: https://issues.apache.org/jira/browse/SPARK-39743
> Project: Spark
> Issue Type: Bug
> Components: Spark Core
> Affects Versions: 3.2.0
> Reporter: Yeachan Park
> Priority: Minor
>
> While writing zstd compressed parquet files, the following setting
> `spark.io.compression.zstd.level` does not have any affect with regards to
> the compression level of zstd.
> All files seem to be written with the default zstd compression level, and the
> config option seems to be ignored.
> Using the zstd cli tool, we confirmed that setting a higher compression level
> for the same file tested in spark resulted in a smaller file.
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