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  1. Spark
  2. SPARK-41285 Test basework and improvement of test coverage in Spark Connect
  3. SPARK-41794

Reenable ANSI mode in pyspark.sql.tests.connect.test_connect_column

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Details

    • Sub-task
    • Status: Open
    • Major
    • Resolution: Unresolved
    • 3.4.0
    • None
    • Connect, Tests

    Description

      ======================================================================
      ERROR [0.901s]: test_column_accessor (pyspark.sql.tests.connect.test_connect_column.SparkConnectTests)
      ----------------------------------------------------------------------
      Traceback (most recent call last):
        File "/.../spark/python/pyspark/sql/tests/connect/test_connect_column.py", line 744, in test_column_accessor
          cdf.select(CF.col("z")[0], cdf.z[10], CF.col("z")[-10]).toPandas(),
        File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 949, in toPandas
          return self._session.client.to_pandas(query)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 413, in to_pandas
          return self._execute_and_fetch(req)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
          self._handle_error(rpc_error)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 623, in _handle_error
          raise SparkConnectException(status.message, info.reason) from None
      pyspark.sql.connect.client.SparkConnectException: (org.apache.spark.SparkArrayIndexOutOfBoundsException) [INVALID_ARRAY_INDEX] The index 10 is out of bounds. The array has 3 elements. Use the SQL function `get()` to tolerate accessing element at invalid index and return NULL instead. If necessary set "spark.sql.ansi.enabled" to "false" to bypass this error.
      
      ======================================================================
      ERROR [0.245s]: test_column_arithmetic_ops (pyspark.sql.tests.connect.test_connect_column.SparkConnectTests)
      ----------------------------------------------------------------------
      Traceback (most recent call last):
        File "/.../spark/python/pyspark/sql/tests/connect/test_connect_column.py", line 799, in test_column_arithmetic_ops
          cdf.select(cdf.a % cdf["b"], cdf["a"] % 2, 12 % cdf.c).toPandas(),
        File "/.../spark/python/pyspark/sql/connect/dataframe.py", line 949, in toPandas
          return self._session.client.to_pandas(query)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 413, in to_pandas
          return self._execute_and_fetch(req)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 573, in _execute_and_fetch
          self._handle_error(rpc_error)
        File "/.../spark/python/pyspark/sql/connect/client.py", line 623, in _handle_error
          raise SparkConnectException(status.message, info.reason) from None
      pyspark.sql.connect.client.SparkConnectException: (org.apache.spark.SparkArithmeticException) [DIVIDE_BY_ZERO] Division by zero. Use `try_divide` to tolerate divisor being 0 and return NULL instead. If necessary set "spark.sql.ansi.enabled" to "false" to bypass this error.
      
      

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              podongfeng Ruifeng Zheng
              gurwls223 Hyukjin Kwon
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                Created:
                Updated: