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Posted to issues@spark.apache.org by "Feynman Liang (JIRA)" <ji...@apache.org> on 2016/01/13 16:06:39 UTC
[jira] [Updated] (SPARK-12806) Support SQL expressions extracting
values from VectorUDT
[ https://issues.apache.org/jira/browse/SPARK-12806?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Feynman Liang updated SPARK-12806:
----------------------------------
Description:
Use cases exist where a specific index within a {{VectorUDT} column of a {{DataFrame}} is required. For example, we may be interested in extracting a specific class probability from the {{probabilityCol}} of a {{LogisticRegression}} to compute losses. However, if {{probability}} is a column of {{df}} with type {{VectorUDT}}, the following code fails:
{code}
df.select("probability.0")
AnalysisException: u"Can't extract value from probability"
{code}
thrown from {{sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala}}.
{{VectorUDT}} essentially wraps a {{StructType}}, hence one would expect it to support value extraction Expressions in an analogous way.
was:
Use cases exist where a specific index within a {VectorUDT} column of a {DataFrame} is required. For example, we may be interested in extracting a specific class probability from the {probabilityCol} of a {LogisticRegression} to compute losses. However, if {probability} is a column of {df} with type {VectorUDT}, the following code fails:
{code}
df.select("probability.0")
AnalysisException: u"Can't extract value from probability"
{code}
thrown from {sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala}.
{VectorUDT} essentially wraps a {StructType}, hence one would expect it to support value extraction Expressions in an analogous way.
> Support SQL expressions extracting values from VectorUDT
> --------------------------------------------------------
>
> Key: SPARK-12806
> URL: https://issues.apache.org/jira/browse/SPARK-12806
> Project: Spark
> Issue Type: Improvement
> Components: MLlib, SQL
> Affects Versions: 1.6.0
> Reporter: Feynman Liang
>
> Use cases exist where a specific index within a {{VectorUDT} column of a {{DataFrame}} is required. For example, we may be interested in extracting a specific class probability from the {{probabilityCol}} of a {{LogisticRegression}} to compute losses. However, if {{probability}} is a column of {{df}} with type {{VectorUDT}}, the following code fails:
> {code}
> df.select("probability.0")
> AnalysisException: u"Can't extract value from probability"
> {code}
> thrown from {{sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/complexTypeExtractors.scala}}.
> {{VectorUDT}} essentially wraps a {{StructType}}, hence one would expect it to support value extraction Expressions in an analogous way.
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