HyukjinKwon commented on code in PR #37461:
URL: https://github.com/apache/spark/pull/37461#discussion_r943057744
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python/pyspark/sql/streaming/readwriter.py:
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@@ -1176,15 +1459,28 @@ def toTable(
Examples
--------
- >>>
sdf.writeStream.format('parquet').queryName('query').toTable('output_table')
- ... # doctest: +SKIP
-
- >>> sdf.writeStream.trigger(processingTime='5 seconds').toTable(
- ... 'output_table',
- ... queryName='that_query',
- ... outputMode="append",
- ... format='parquet',
- ... checkpointLocation='/tmp/checkpoint') # doctest: +SKIP
+ Save a data stream to a table.
+
+ >>> import tempfile
+ >>> import time
+ >>> _ = spark.sql("DROP TABLE IF EXISTS my_table2")
+ >>> with tempfile.TemporaryDirectory() as d:
+ ... # Create a table with Rate source.
+ ... q = spark.readStream.format("rate").option(
+ ... "rowsPerSecond", 10).load().writeStream.toTable(
+ ... "my_table2",
+ ... queryName='that_query',
+ ... outputMode="append",
+ ... format='parquet',
+ ... checkpointLocation=d)
+ ... time.sleep(3)
+ ... q.stop()
+ ... spark.read.table("my_table2").show()
+ ... _ = spark.sql("DROP TABLE my_table2")
+ +...---------+-----+
Review Comment:
Actually this is not. It leverages `ELLIPSIS` feature in the doctest. Since
it replies on timeout (3 secs), I didn't test the exact match of data. In this
way, the test passes regardless of how many batches are computed during 3 secs.
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