[jira] [Commented] (SPARK-26591) illegal hardware instruction
[
https://issues.apache.org/jira/browse/SPARK-26591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16741387#comment-16741387
]
Elchin commented on SPARK-26591:
[~bryanc] I installed it through pip. And I tested it on clean virtual
environment. And it also doesn't work
PyArrow version is 0.11.1. I also attached core dump, may be it can help you.
> illegal hardware instruction
>
>
> Key: SPARK-26591
> URL: https://issues.apache.org/jira/browse/SPARK-26591
> Project: Spark
> Issue Type: Bug
> Components: PySpark
>Affects Versions: 2.4.0
> Environment: Python 3.6.7
> Pyspark 2.4.0
> OS:
> {noformat}
> Linux 4.15.0-43-generic #46-Ubuntu SMP Thu Dec 6 14:45:28 UTC 2018 x86_64
> x86_64 x86_64 GNU/Linux{noformat}
> CPU:
>
> {code:java}
> Dual core AMD Athlon II P360 (-MCP-) cache: 1024 KB
> clock speeds: max: 2300 MHz 1: 1700 MHz 2: 1700 MHz
> {code}
>
>
>Reporter: Elchin
>Priority: Critical
> Attachments: core
>
>
> When I try to use pandas_udf from examples in
> [documentation|https://spark.apache.org/docs/2.4.0/api/python/pyspark.sql.html#pyspark.sql.functions.pandas_udf]:
> {code:java}
> from pyspark.sql.functions import pandas_udf, PandasUDFType
> from pyspark.sql.types import IntegerType, StringType
> slen = pandas_udf(lambda s: s.str.len(), IntegerType()) #here it is
> crashed{code}
> I get the error:
> {code:java}
> [1] 17969 illegal hardware instruction (core dumped) python3{code}
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[jira] [Commented] (SPARK-26591) illegal hardware instruction
[
https://issues.apache.org/jira/browse/SPARK-26591?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16740571#comment-16740571
]
Bryan Cutler commented on SPARK-26591:
--
Could you share some details of your pyarrow installation - version, did you
pip install, are you using a virtual env? If possible, I would make a clean
virtual environment and try installation again, it sounds like something went
bad.
> illegal hardware instruction
>
>
> Key: SPARK-26591
> URL: https://issues.apache.org/jira/browse/SPARK-26591
> Project: Spark
> Issue Type: Bug
> Components: PySpark
>Affects Versions: 2.4.0
> Environment: Python 3.6.7
> Pyspark 2.4.0
> OS:
> {noformat}
> Linux 4.15.0-43-generic #46-Ubuntu SMP Thu Dec 6 14:45:28 UTC 2018 x86_64
> x86_64 x86_64 GNU/Linux{noformat}
> CPU:
>
> {code:java}
> Dual core AMD Athlon II P360 (-MCP-) cache: 1024 KB
> clock speeds: max: 2300 MHz 1: 1700 MHz 2: 1700 MHz
> {code}
>
>
>Reporter: Elchin
>Priority: Critical
>
> When I try to use pandas_udf from examples in
> [documentation|https://spark.apache.org/docs/2.4.0/api/python/pyspark.sql.html#pyspark.sql.functions.pandas_udf]:
> {code:java}
> from pyspark.sql.functions import pandas_udf, PandasUDFType
> from pyspark.sql.types import IntegerType, StringType
> slen = pandas_udf(lambda s: s.str.len(), IntegerType()) #here it is
> crashed{code}
> I get the error:
> {code:java}
> [1] 17969 illegal hardware instruction (core dumped) python3{code}
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