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Posted to reviews@spark.apache.org by GitBox <gi...@apache.org> on 2022/05/16 07:04:15 UTC

[GitHub] [spark] AnywalkerGiser opened a new pull request, #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows

AnywalkerGiser opened a new pull request, #36559:
URL: https://github.com/apache/spark/pull/36559

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   ### What changes were proposed in this pull request?
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   Fix problems with pyspark in Windows:
   1. Fixed datetime conversion to timestamp before 1970;
   2. Fixed datetime conversion when timestamp is negative;
   3. Adding a test script.
   
   ### Why are the changes needed?
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   Please clarify why the changes are needed. For instance,
     1. If you propose a new API, clarify the use case for a new API.
     2. If you fix a bug, you can clarify why it is a bug.
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   Pyspark has problems serializing pre-1970 times in Windows.
   
   An exception occurs when executing the following code under Windows:
   ```python
   rdd = sc.parallelize([('a', datetime(1957, 1, 9, 0, 0)),
                         ('b', datetime(2014, 1, 27, 0, 0))])
   df = spark.createDataFrame(rdd, ["id", "date"])
   
   df.show()
   df.printSchema()
   
   print(df.collect())
   ```
   
   ```bash
     File "...\spark\python\lib\pyspark.zip\pyspark\sql\types.py", line 195, in toInternal
       else time.mktime(dt.timetuple()))
   OverflowError: mktime argument out of range
   
   at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.handlePythonException(PythonRunner.scala:503)
   	at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:638)
   	at org.apache.spark.api.python.PythonRunner$$anon$3.read(PythonRunner.scala:621)
   	at org.apache.spark.api.python.BasePythonRunner$ReaderIterator.hasNext(PythonRunner.scala:456)
   	at org.apache.spark.InterruptibleIterator.hasNext(InterruptibleIterator.scala:37)
   	at scala.collection.Iterator$$anon$11.hasNext(Iterator.scala:489)
   	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
   	at scala.collection.Iterator$$anon$10.hasNext(Iterator.scala:458)
   	at org.apache.spark.sql.catalyst.expressions.GeneratedClass$GeneratedIteratorForCodegenStage1.processNext(Unknown Source)
   	at org.apache.spark.sql.execution.BufferedRowIterator.hasNext(BufferedRowIterator.java:43)
   	at org.apache.spark.sql.execution.WholeStageCodegenExec$$anon$1.hasNext(WholeStageCodegenExec.scala:729)
   	at org.apache.spark.sql.execution.SparkPlan.$anonfun$getByteArrayRdd$1(SparkPlan.scala:340)
   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2(RDD.scala:872)
   	at org.apache.spark.rdd.RDD.$anonfun$mapPartitionsInternal$2$adapted(RDD.scala:872)
   	at org.apache.spark.rdd.MapPartitionsRDD.compute(MapPartitionsRDD.scala:52)
   	at org.apache.spark.rdd.RDD.computeOrReadCheckpoint(RDD.scala:349)
   	at org.apache.spark.rdd.RDD.iterator(RDD.scala:313)
   	at org.apache.spark.scheduler.ResultTask.runTask(ResultTask.scala:90)
   	at org.apache.spark.scheduler.Task.run(Task.scala:127)
   	at org.apache.spark.executor.Executor$TaskRunner.$anonfun$run$3(Executor.scala:446)
   	at org.apache.spark.util.Utils$.tryWithSafeFinally(Utils.scala:1377)
   	at org.apache.spark.executor.Executor$TaskRunner.run(Executor.scala:449)
   	at java.base/java.util.concurrent.ThreadPoolExecutor.runWorker(Unknown Source)
   	at java.base/java.util.concurrent.ThreadPoolExecutor$Worker.run(Unknown Source)
   	... 1 more
   ```
   and
   ```bash
   File ...\spark\python\lib\pyspark.zip\pyspark\sql\types.py, in fromInternal:
   Line 207:   return datetime.datetime.fromtimestamp(ts // 1000000).replace(microsecond=ts % 1000000)
   
   OSError: [Errno 22] Invalid argument
   ```
    After updating the code, the above code was run successfully!
   ```bash
   +---+-------------------+
   | id|               date|
   +---+-------------------+
   |  a|1957-01-08 16:00:00|
   |  b|2014-01-26 16:00:00|
   +---+-------------------+
   
   root
    |-- id: string (nullable = true)
    |-- date: timestamp (nullable = true)
   
   [Row(id='a', date=datetime.datetime(1957, 1, 9, 0, 0)), Row(id='b', date=datetime.datetime(2014, 1, 27, 0, 0))] 
   ```
   ### Does this PR introduce _any_ user-facing change?
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   No
   
   ### How was this patch tested?
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   New and existing test suites


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[GitHub] [spark] AnywalkerGiser closed pull request #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows

Posted by GitBox <gi...@apache.org>.
AnywalkerGiser closed pull request #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows
URL: https://github.com/apache/spark/pull/36559


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[GitHub] [spark] AnywalkerGiser closed pull request #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows

Posted by GitBox <gi...@apache.org>.
AnywalkerGiser closed pull request #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows
URL: https://github.com/apache/spark/pull/36559


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[GitHub] [spark] AmplabJenkins commented on pull request #36559: [SPARK-39176][PYSPARK] Fixed a problem with pyspark serializing pre-1970 datetime in windows

Posted by GitBox <gi...@apache.org>.
AmplabJenkins commented on PR #36559:
URL: https://github.com/apache/spark/pull/36559#issuecomment-1127364481

   Can one of the admins verify this patch?


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