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  1. Spark
  2. SPARK-22216 Improving PySpark/Pandas interoperability
  3. SPARK-23446

Explicitly check supported types in toPandas

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Details

    • Sub-task
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • 2.3.0
    • 2.3.0
    • PySpark
    • None

    Description

      See:

      spark.conf.set("spark.sql.execution.arrow.enabled", "false")
df = spark.createDataFrame([[bytearray("a")]])
df.toPandas()
spark.conf.set("spark.sql.execution.arrow.enabled", "true")
df.toPandas()

           _1
0  [97]
  _1
0  a

      We didn't finish binary type in Arrow conversion at Python side. We should disallow it.
      Same thine applies to nested timestamps.

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          relates to

          Sub-task - The sub-task of the issue SPARK-23380 Adds a conf for Arrow fallback in toPandas/createDataFrame with Pandas DataFrame

          • Major - Major loss of function.
          • Resolved
          links to

          Pull request #20625 [Github] Pull Request #20625 (HyukjinKwon)

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              gurwls223 Hyukjin Kwon
              gurwls223 Hyukjin Kwon
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              Dates

                Created:
                Updated:
                Resolved: