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The index <indexValue> is out of bounds. The array has <arraySize> elements. Use try_element_at to tolerate accessing element at invalid index and return NULL instead. If necessary set <ansiConfig> to “false” to bypass this error.
Parameters
- indexValue: The requested index into the array.
- arraySize: The cardinality of the array.
- ansiConfig: The configuration setting to alter ANSI mode.
Explanation
indexValue is beyond the boundary of defined array elements for an element_at(arrayExpr, indexValue), or elt(arrayExpr, indexValue) expression.
The value must be between -arraySize and arraySize, excluding 0.
Mitigation
The mitigation for this error depends on the cause:
Is the cardinality of the array smaller than expected?
Fix the input array and re-run the query.
Has
indexValuebeen computed incorrectly?Adjust
indexValueand re-run the query.Do you expect to get a
NULLvalue to be returned for elements outside the cardinality of the index?If you can change the expression, use try_element_at(arrayExpr, indexValue) to tolerate references out of bound.
If you cannot change the expression, as a last resort, temporarily set the
ansiConfigtofalseto tolerate references out of bound.
Examples
-- An INVALID_ARRAY_INDEX_IN_ELEMENT_AT error because of mismatched indexing
> SELECT element_at(array('a', 'b', 'c'), index) FROM VALUES(1), (4) AS T(index);
[INVALID_ARRAY_INDEX_IN_ELEMENT_AT] The index 4 is out of bounds. The array has 3 elements. If necessary set "ANSI_MODE" to false to bypass this error.
-- Increase the aray size to cover the index
> SELECT element_at(array('a', 'b', 'c', 'd'), index) FROM VALUES(1), (4) AS T(index);
a
d
-- Adjusting the index to match the array
> SELECT element_at(array('a', 'b', 'c'), index) FROM VALUES(1), (3) AS T(index);
a
c
-- Tolerating out of bound array index with adjustment to 1-based indexing
> SELECT try_element_at(array('a', 'b', 'c'), index) FROM VALUES(1), (4) AS T(index);
a
NULL
-- Tolerating out of bound by setting ansiConfig in Databricks SQL
> SET ANSI_MODE = false;
> SELECT element_at(array('a', 'b', 'c'), index) FROM VALUES(1), (4) AS T(index);
a
NULL
> SET ANSI_MODE = true;
-- Tolerating out of bound by setting ansiConfig in Databricks Runtime
> SET spark.sql.ansi.enabled = false;
> SELECT element_at(array('a', 'b', 'c'), index) FROM VALUES(1), (4) AS T(index);
a
NULL
> SET spark.sql.ansi.enabled = true;