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https://issues.apache.org/jira/browse/SPARK-30791?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Weichen Xu updated SPARK-30791:
-------------------------------
Description:
Sometimes, we want to check whether two dataframes are the same.
There is already an internal API like:
{code:java}
df1.queryExecution.analyzed.sameResult(...)
df1.queryExecution.analyzed.semanticHash(){code}
We can make a public API for this:
Like:
{code:java}
df1.sameSemantic(df2) // return true if dataframe has the same semantic
df1.semanticHash() // return a semantic hashcode
CC
{code}
[~cloud_fan]
{code:java}
{code}
[~mengxr]
{code:java}
{code}
[~liangz]
was:
Sometimes, we want to check whether two dataframes are the same.
There is already an internal API like:
{code:java}
df1.queryExecution.logical.sameResult(...) {code}
We can make a public API for this:
Like:
{code:java}
df1.sameResult(df2) // return true if dataframe will return the same result
df1.semanticHash // return a semantic hashcode, if the two dataframes will
return the same results, their semantic hashcodes should be the same.{code}
CC [~cloud_fan] [~mengxr] [~liangz]
> Dataframe add sameResult and sementicHash method
> ------------------------------------------------
>
> Key: SPARK-30791
> URL: https://issues.apache.org/jira/browse/SPARK-30791
> Project: Spark
> Issue Type: New Feature
> Components: ML, SQL
> Affects Versions: 3.0.0
> Reporter: Weichen Xu
> Assignee: Liang Zhang
> Priority: Major
>
> Sometimes, we want to check whether two dataframes are the same.
> There is already an internal API like:
> {code:java}
> df1.queryExecution.analyzed.sameResult(...)
> df1.queryExecution.analyzed.semanticHash(){code}
> We can make a public API for this:
> Like:
> {code:java}
> df1.sameSemantic(df2) // return true if dataframe has the same semantic
> df1.semanticHash() // return a semantic hashcode
> CC
> {code}
> [~cloud_fan]
> {code:java}
>
> {code}
> [~mengxr]
> {code:java}
>
> {code}
> [~liangz]
>
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