MaxGekk commented on code in PR #37452:
URL: https://github.com/apache/spark/pull/37452#discussion_r942598311
##########
sql/core/src/test/resources/sql-tests/results/ansi/array.sql.out:
##########
@@ -165,10 +165,7 @@ select element_at(array(1, 2, 3), 5)
struct<>
-- !query output
org.apache.spark.SparkArrayIndexOutOfBoundsException
-[INVALID_ARRAY_INDEX_IN_ELEMENT_AT] The index 5 is out of bounds. The array
has 3 elements. Use `try_element_at` to tolerate accessing element at invalid
index and return NULL instead. If necessary set "spark.sql.ansi.enabled" to
"false" to bypass this error.
-== SQL(line 1, position 8) ==
-select element_at(array(1, 2, 3), 5)
- ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
+{"errorClass":"INVALID_ARRAY_INDEX_IN_ELEMENT_AT","messageParameters":["5","3","\"spark.sql.ansi.enabled\""],"queryContext":[{"objectType":"","objectName":"","startIndex":7,"stopIndex":35,"fragment":"element_at(array(1,
2, 3), 5"}]}
Review Comment:
I just have the concern about this: variable schema (JSON object) makes
machinery parsing harder. How would you parse such JSON by Spark SQL?
--
This is an automated message from the Apache Git Service.
To respond to the message, please log on to GitHub and use the
URL above to go to the specific comment.
To unsubscribe, e-mail: [email protected]
For queries about this service, please contact Infrastructure at:
[email protected]
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
