HyukjinKwon commented on a change in pull request #32161:
URL: https://github.com/apache/spark/pull/32161#discussion_r635977077
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File path: sql/core/src/main/scala/org/apache/spark/sql/DataFrameWriter.scala
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@@ -860,13 +860,14 @@ final class DataFrameWriter[T] private[sql](ds:
Dataset[T]) {
* format("parquet").save(path)
* }}}
*
- * You can set the following Parquet-specific option(s) for writing Parquet
files:
- * <ul>
- * <li>`compression` (default is the value specified in
`spark.sql.parquet.compression.codec`):
- * compression codec to use when saving to file. This can be one of the
known case-insensitive
- * shorten names(`none`, `uncompressed`, `snappy`, `gzip`, `lzo`, `brotli`,
`lz4`, and `zstd`).
- * This will override `spark.sql.parquet.compression.codec`.</li>
- * </ul>
+ * Parquet-specific option(s) for reading Parquet files can be found in
+ * <a href=
+ *
"https://spark.apache.org/docs/latest/sql-data-sources-parquet.html#data-source-option";>
+ * Data Source Option</a> in the version you use.
+ * More general options can be found in
Review comment:
ditto, I think we can remove this sense you mentioned generic options in
parquet specific options page
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