Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18134
Yeah, you always can implement such a UDF.
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Github user sergiobilello-eb commented on the issue:
https://github.com/apache/spark/pull/18134
thanks @gatorsmile! Do you suggest any workaround until then? I mean not
rebuilding spark with that patch Can I register my UDF that contains that
logic?
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18134
https://issues.apache.org/jira/browse/SPARK-20909
This is not part of 2.2. Based on JIRA, it will be included in 2.3
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Github user sergiobilello-eb commented on the issue:
https://github.com/apache/spark/pull/18134
```spark-sql> select dayofweek('2007-02-03'), dayofweek('2009-07-30'),
dayofweek('2017-05-27'), dayofweek(null), dayofweek('1582-10-15 13:10:15');
17/11/10 16:08:23 INFO SparkSqlParser:
Github user sergiobilello-eb commented on the issue:
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thanks @gatorsmile :)
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Github user gatorsmile commented on the issue:
https://github.com/apache/spark/pull/18134
@sergiobilello-eb This is just a SQL function. You can call it in SQL
interface or using the `df.select(expr("dayofweek('2009-07-30')"))`. It is not
part of the DataFrame functions. You can submi
Github user sergiobilello-eb commented on the issue:
https://github.com/apache/spark/pull/18134
This function is not reported in the API documentation:
https://spark.apache.org/docs/2.2.0/api/java/index.html?org/apache/spark/sql/functions.html
or
https://spark.apache.org/docs/2.1.0/a
Github user ueshin commented on the issue:
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Thanks! Merging to master.
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Github user viirya commented on the issue:
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LGTM except for one comment about the function description.
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