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https://issues.apache.org/jira/browse/SPARK-31937?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17163160#comment-17163160
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angerszhu commented on SPARK-31937:
-----------------------------------
raise a pr soon
{code:java}
-- SPARK-31937 transform with defined row format delimit
--SELECT TRANSFORM(a, b, c, d, e, null)
--ROW FORMAT DELIMITED
--FIELDS TERMINATED BY '|'
--COLLECTION ITEMS TERMINATED BY '&'
--MAP KEYS TERMINATED BY '*'
--LINES TERMINATED BY '\n'
--NULL DEFINED AS 'NULL'
--USING 'cat' AS (a, b, c, d, e, f)
--ROW FORMAT DELIMITED
--FIELDS TERMINATED BY '|'
--COLLECTION ITEMS TERMINATED BY '&'
--MAP KEYS TERMINATED BY '*'
--LINES TERMINATED BY '\n'
--NULL DEFINED AS 'NULL'
--FROM VALUEW (1, 1.23, array(1,, 2, 3), map(1, '1'), struct(1, '1')) t(a, b,
c, d, e);
--
--SELECT TRANSFORM(a, b, c, d, e, null)
--ROW FORMAT DELIMITED
--FIELDS TERMINATED BY '|'
--COLLECTION ITEMS TERMINATED BY '&'
--MAP KEYS TERMINATED BY '*'
--LINES TERMINATED BY '\n'
--NULL DEFINED AS 'NULL'
--USING 'cat' AS (a)
--ROW FORMAT DELIMITED
--FIELDS TERMINATED BY '||'
--LINES TERMINATED BY '\n'
--NULL DEFINED AS 'NULL'
--FROM VALUEW (1, 1.23, array(1,, 2, 3), map(1, '1'), struct(1, '1')) t(a, b,
c, d, e);
{code}
> Support processing array and map type using spark noserde mode
> --------------------------------------------------------------
>
> Key: SPARK-31937
> URL: https://issues.apache.org/jira/browse/SPARK-31937
> Project: Spark
> Issue Type: Sub-task
> Components: SQL
> Affects Versions: 3.0.0
> Reporter: angerszhu
> Priority: Major
>
> Currently, It is not supported to use script(e.g. python) to process array
> type or map type, it will complain with below message:
> {{org.apache.spark.sql.catalyst.expressions.UnsafeArrayData cannot be cast to
> [Ljava.lang.Object}}
> {{org.apache.spark.sql.catalyst.expressions.UnsafeMapData cannot be cast to
> java.util.Map}}
> To support it
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