You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Apache Spark (Jira)" <ji...@apache.org> on 2020/10/17 00:11:00 UTC
[jira] [Assigned] (SPARK-33172) Spark SQL CodeGenerator does not
check for UserDefined type
[ https://issues.apache.org/jira/browse/SPARK-33172?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-33172:
------------------------------------
Assignee: Apache Spark
> Spark SQL CodeGenerator does not check for UserDefined type
> -----------------------------------------------------------
>
> Key: SPARK-33172
> URL: https://issues.apache.org/jira/browse/SPARK-33172
> Project: Spark
> Issue Type: New Feature
> Components: SQL
> Affects Versions: 2.4.7, 3.0.1
> Reporter: David Rabinowitz
> Assignee: Apache Spark
> Priority: Minor
>
> The CodeGenerator takes the DataType given to {{getValueFromVector()}} as is, and generates code based on its type. The generated code is not aware of the actual type, and therefore cannot be compiled. For example, using a DataFrame with a Spark ML Vector (VectorUDT) the generated code is:
> {{InternalRow datasourcev2scan_value_2 = datasourcev2scan_isNull_2 ? null : (datasourcev2scan_mutableStateArray_2[2].getStruct(datasourcev2scan_rowIdx_0, 4));}}
> {{ Which leads to a runtime error of}}
> {{20/10/14 13:20:51 ERROR CodeGenerator: failed to compile: org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 153, Column 126: No applicable constructor/method found for actual parameters "int, int"; candidates are: "public org.apache.spark.sql.vectorized.ColumnarRow org.apache.spark.sql.vectorized.ColumnVector.getStruct(int)"}}
> {{ org.codehaus.commons.compiler.CompileException: File 'generated.java', Line 153, Column 126: No applicable constructor/method found for actual parameters "int, int"; candidates are: "public org.apache.spark.sql.vectorized.ColumnarRow org.apache.spark.sql.vectorized.ColumnVector.getStruct(int)"}}
> {{ at org.codehaus.janino.UnitCompiler.compileError(UnitCompiler.java:12124)}}
> {{...}}
> {{ which then throws Spark to an infinite loop of this error.}}
> The solution is quite simple, {{getValueFromVector()}} should match nad handle UserDefinedType the same as {{CodeGenerator.javaType()}} is doing.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org