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https://issues.apache.org/jira/browse/SPARK-36081?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Kousuke Saruta updated SPARK-36081:
-----------------------------------
Description:
sql-migration-guide.md mentions about the behavior of cast like as follows.
{code}
In Spark 3.0, when casting string value to integral types(tinyint, smallint,
int and bigint), datetime types(date, timestamp and interval) and boolean type,
the leading and trailing whitespaces (<= ASCII 32) will be trimmed before
converted to these type values, for example, `cast(' 1\t' as int)` results `1`,
`cast(' 1\t' as boolean)` results `true`, `cast('2019-10-10\t as date)` results
the date value `2019-10-10`. In Spark version 2.4 and below, when casting
string to integrals and booleans, it does not trim the whitespaces from both
ends; the foregoing results is `null`, while to datetimes, only the trailing
spaces (= ASCII 32) are removed.
{code}
In fact, select cast('2019-10-10\b' as date); returns 2019-10-10 with Spark
3.0.0.
But after 3.0.1, the query returns NULL and this behavior doesn't comply with
the specification.
The root cause seems to be
was:
sql-migration-guide.md mentions about the behavior of cast like as follows.
{code}
In Spark 3.0, when casting string value to integral types(tinyint, smallint,
int and bigint), datetime types(date, timestamp and interval) and boolean type,
the leading and trailing whitespaces (<= ASCII 32) will be trimmed before
converted to these type values, for example, `cast(' 1\t' as int)` results `1`,
`cast(' 1\t' as boolean)` results `true`, `cast('2019-10-10\t as date)` results
the date value `2019-10-10`. In Spark version 2.4 and below, when casting
string to integrals and booleans, it does not trim the whitespaces from both
ends; the foregoing results is `null`, while to datetimes, only the trailing
spaces (= ASCII 32) are removed.
{code}
In fact, select cast('2019-10-10\b' as date); returns 2019-10-10 with Spark
3.0.0.
But after 3.0.1, the query returns NULL and this behavior doesn't comply with
the specification.
> The implementation of cast doesn't comply with its specification
> ----------------------------------------------------------------
>
> Key: SPARK-36081
> URL: https://issues.apache.org/jira/browse/SPARK-36081
> Project: Spark
> Issue Type: Bug
> Components: Spark Core, SQL
> Affects Versions: 3.0.3, 3.1.2, 3.2.0, 3.3.0
> Reporter: Kousuke Saruta
> Assignee: Kousuke Saruta
> Priority: Major
>
> sql-migration-guide.md mentions about the behavior of cast like as follows.
> {code}
> In Spark 3.0, when casting string value to integral types(tinyint, smallint,
> int and bigint), datetime types(date, timestamp and interval) and boolean
> type, the leading and trailing whitespaces (<= ASCII 32) will be trimmed
> before converted to these type values, for example, `cast(' 1\t' as int)`
> results `1`, `cast(' 1\t' as boolean)` results `true`, `cast('2019-10-10\t as
> date)` results the date value `2019-10-10`. In Spark version 2.4 and below,
> when casting string to integrals and booleans, it does not trim the
> whitespaces from both ends; the foregoing results is `null`, while to
> datetimes, only the trailing spaces (= ASCII 32) are removed.
> {code}
> In fact, select cast('2019-10-10\b' as date); returns 2019-10-10 with Spark
> 3.0.0.
> But after 3.0.1, the query returns NULL and this behavior doesn't comply with
> the specification.
> The root cause seems to be
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