[arrow] branch master updated: MINOR: [Docs] Update parquet.rst to note support for zstd and lz4 (#12951)

[ks...@apache.org]

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The following commit(s) were added to refs/heads/master by this push:
     new a363812f07 MINOR: [Docs] Update parquet.rst to note support for zstd and lz4 (#12951)
a363812f07 is described below

commit a363812f07fa60d4df49049934dd6cd813ec8f25
Author: Kyle Barron <ky...@gmail.com>
AuthorDate: Fri Apr 22 14:52:39 2022 -0600

    MINOR: [Docs] Update parquet.rst to note support for zstd and lz4 (#12951)
---
 docs/source/python/parquet.rst | 5 ++++-
 1 file changed, 4 insertions(+), 1 deletion(-)

diff --git a/docs/source/python/parquet.rst b/docs/source/python/parquet.rst
index ce4d72bb83..baffc55544 100644
--- a/docs/source/python/parquet.rst
+++ b/docs/source/python/parquet.rst
@@ -328,13 +328,16 @@ plain encoding. Whether dictionary encoding is used can be toggled using the
 
 The data pages within a column in a row group can be compressed after the
 encoding passes (dictionary, RLE encoding). In PyArrow we use Snappy
-compression by default, but Brotli, Gzip, and uncompressed are also supported:
+compression by default, but Brotli, Gzip, ZSTD, LZ4, and uncompressed are
+also supported:
 
 .. code-block:: python
 
    pq.write_table(table, where, compression='snappy')
    pq.write_table(table, where, compression='gzip')
    pq.write_table(table, where, compression='brotli')
+   pq.write_table(table, where, compression='zstd')
+   pq.write_table(table, where, compression='lz4')
    pq.write_table(table, where, compression='none')
 
 Snappy generally results in better performance, while Gzip may yield smaller