[GitHub] spark issue #20171: [SPARK-22978] [PySpark] Register Vectorized UDFs for SQL...

2018-01-16 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20171 Merged to master and branch-2.3. --- - To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands,

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2018-01-16 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20171 Will try to handle with doc and minor stuff soon within few days. Seems it might be a bit more tricky then I thought. --- -

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2018-01-10 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/20171 Let me close this PR and open a new PR to introduce a new function `registerUDF` --- - To unsubscribe, e-mail: reviews-unsubs

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2018-01-07 Thread HyukjinKwon
Github user HyukjinKwon commented on the issue: https://github.com/apache/spark/pull/20171 I think that's because we expect Pandas's `Series` in the arguments. Correct usage will be something like `x.str.len() + y`. --- --

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2018-01-06 Thread gatorsmile
Github user gatorsmile commented on the issue: https://github.com/apache/spark/pull/20171 ``` from pyspark.sql.functions import pandas_udf from pyspark.sql.functions import col, lit from pyspark.sql.types import LongType df = spark.range(3) f = pandas_udf(lambda x, y

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