HyukjinKwon commented on code in PR #37263:
URL: https://github.com/apache/spark/pull/37263#discussion_r930637736
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sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/parquet/ParquetFileFormat.scala:
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@@ -126,6 +127,15 @@ class ParquetFileFormat
// Sets compression scheme
conf.set(ParquetOutputFormat.COMPRESSION,
parquetOptions.compressionCodecClassName)
+ // Sets Zstd level and Zstd workers, only effect when compression codec is
`zstd`
+ conf.set(
Review Comment:
You can use `setIfUnset` I believe. The main problem is that I am not sure
if it's worthwhile. For example, we don't expose a configuration for Parquet
writer v2 (e.g., `parquet.writer.version`).
Just for clarification, you are already able to set this via, e.g.:
```
val spark = SparkSession.
builder()
.master("local[*]")
.appName("AppName")
.config("spark.sql.parquet.compression.codec", "zstd")
.getOrCreate()
spark.sessionState.newHadoopConfWithOptions(
"parquet.compression.codec.zstd.level" -> "10",
"parquet.compression.codec.zstd.workers" -> "0"
)
val csvfile = spark.read.csv("file:///home/test_data/Reviews.csv")
csvfile.coalesce(1).write.parquet("file:///home/test_data/nn_parq_10")
```
I believe?
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