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https://issues.apache.org/jira/browse/HUDI-481?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17009320#comment-17009320
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cdmikechen commented on HUDI-481:
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[~vinoth]
I checked the spark project. It seems that the spark SQL syntax tree only
supports *DELETE* keyword at present. *UPDATE* and *MERGE* are not supported
yet. I think this may be because the design idea of spark is to deal with the
relationship between dataset and dataset. Using existing operators can solve
similar problems, but it is not sql-like.
My current idea is to build a layer of SQL syntax on the *hudi-core*, and
properly enable antlr4 to process semantics. For example, the update statement
can be parsed into first filtering data according to where conditions, and then
upsert the data into hudi.
> Support SQL-like method
> -----------------------
>
> Key: HUDI-481
> URL: https://issues.apache.org/jira/browse/HUDI-481
> Project: Apache Hudi (incubating)
> Issue Type: Improvement
> Components: CLI
> Reporter: cdmikechen
> Priority: Minor
>
> As we know, Hudi use spark datasource api to upsert data. For example, if we
> want to update a data, we need to get the old row's data first, and use
> upsert method to update this row.
> But there's another situation where someone just wants to update one column
> of data. If we use a sql to describe, it is {{update table set col1 = X where
> col2 = Y}}. This is something hudi cannot deal with directly at present, we
> can only get all the data involved as a dataset first and then merge it.
> So I think maybe we can create a new subproject to process the batch data in
> an sql-like method. For example.
> {code}
> val hudiTable = new HudiTable(path)
> hudiTable.update.set("col1 = X").where("col2 = Y")
> hudiTable.delete.where("col3 = Z")
> hudiTable.commit
> {code}
> It may also extend the functionality and support jdbc-like RFC schemes:
> [https://cwiki.apache.org/confluence/display/HUDI/RFC+-+14+%3A+JDBC+incremental+puller]
> Hope every one can provide some suggestions to see if this plan is feasible.
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