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Posted to issues@spark.apache.org by "Cheng Lian (JIRA)" <ji...@apache.org> on 2017/02/25 06:06:44 UTC
[jira] [Created] (SPARK-19737) New analysis rule for reporting
unregistered functions without relying on relation resolution
Cheng Lian created SPARK-19737:
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Summary: New analysis rule for reporting unregistered functions without relying on relation resolution
Key: SPARK-19737
URL: https://issues.apache.org/jira/browse/SPARK-19737
Project: Spark
Issue Type: Bug
Components: SQL
Affects Versions: 2.2.0
Reporter: Cheng Lian
Fix For: 2.2.0
Let's consider the following simple SQL query that reference an invalid function {{foo}} that is never registered in the function registry:
{code:sql}
SELECT foo(a) FROM t
{code}
Assuming table {{t}} is a partitioned temporary view consisting of a large number of files stored on S3, then it may take the analyzer a long time before realizing that {{foo}} is not registered yet.
The reason is that the existing analysis rule {{ResolveFunctions}} requires all child expressions to be resolved first. Therefore, {{ResolveRelations}} has to be executed first to resolve all columns referenced by the unresolved function invocation. This further leads to partition discovery for {{t}}, which may take a long time.
To address this case, we propose a new lightweight analysis rule {{LookupFunctions}} that
# Matches all unresolved function invocation
# Look up the function name from the function registry
# Report analysis error for any unregistered functions
Since this rule doesn't try to actually resolve the unresolved functions, it doesn't rely on {{ResolveRelations}} and therefore doesn't trigger partition discovery.
We may put this analysis rule in a separate {{Once}} rule batch that sits between the "Substitution" batch and the "Resolution" batch to avoid running it repeatedly.
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