Member since
04-08-2014
16
Posts
3
Kudos Received
1
Solution
My Accepted Solutions
Title | Views | Posted |
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2461 | 11-07-2014 01:06 AM |
01-02-2019
10:57 AM
UDFs can do a lot of things because they run with the same privileges as the Impala process. However, doing things other than the usual computations in the UDF, like accessing filesystems or external services, can compromise the performance and stability of your system. So you do this at your own risk. In the future we may lock down UDFs more and prevent them from doing things like accessing HDFS.
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04-05-2017
10:45 AM
yes you have to
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02-17-2017
08:05 PM
1 Kudo
I guess your code is the old one. The latest code does not has this issue. Currently, SHC has the default table coder "Phoenix", but it has incompatibility issue. We are working on the PR#95 to fix it. In SHC we have release tags for each branch (e.g. Tag v1.0.1-2.0 for Spark v2.0 and v1.0.1-1.6 for Spark v1.6) that show the snapshots that should be used, as opposed to branch heads that might be unstable.
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12-18-2014
02:21 AM
Hello masfworld, I've found my solution here, hope this'll help you too: http://community.cloudera.com/t5/Cloudera-Search-Apache-SolrCloud/Solr-Server-not-starting/m-p/4839#M97
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12-02-2014
10:25 PM
From the latest 2.x documentation: http://www.cloudera.com/content/cloudera/en/documentation/cloudera-impala/latest/topics/impala_udf.html#udfs_hive_unique_2 "Hive UDAFs and UDTFs are not supported." John
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05-29-2014
02:58 AM
Impala can do the conversion via SQL statements. I'd recommend asking the Impala guys for advice there as my information is a bit dated on this front, now that views and improved meta store features have been added. Mike
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