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Posted to dev@drill.apache.org by "Paul Rogers (JIRA)" <ji...@apache.org> on 2019/01/08 06:06:00 UTC

[jira] [Created] (DRILL-6953) Merge row set-based JSON reader

Paul Rogers created DRILL-6953:
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             Summary: Merge row set-based JSON reader
                 Key: DRILL-6953
                 URL: https://issues.apache.org/jira/browse/DRILL-6953
             Project: Apache Drill
          Issue Type: Improvement
    Affects Versions: 1.15.0
            Reporter: Paul Rogers
            Assignee: Paul Rogers
             Fix For: 1.16.0


The final step in the ongoing "result set loader" saga is to merge the revised JSON reader into master. This reader does two key things:

* Demonstrates the prototypical "late schema" style of data reading (discover schema while reading).
* Implements many tricks and hacks to handle schema changes while loading.
* Shows that, even with all these tricks, the only true solution is to actually have a schema.

The new JSON reader:

* Uses an expanded state machine when parsing rather than the complex set of if-statements in the current version.
* Handles reading a run of nulls before seeing the first data value (as long as the data value shows up in the first record batch).
* Uses the result-set loader to generate fixed-size batches regardless of the complexity, depth of structure, or width of variable-length fields.

While the JSON reader itself is helpful, the key contribution is that it shows how to use the entire kit of parts: result set loader, projection framework, and so on. Since the projection framework can handle an external schema, it is also a handy foundation for the ongoing schema project.

Key work to complete after this merger will be to reconcile actual data with the external schema. For example, if we know a column is supposed to be a VarChar, then read the column as a VarChar regardless of the type JSON itself picks. Or, if a column is supposed to be a Double, then convert Int and String JSON values into Doubles.

The Row Set framework was designed to allow inserting custom column writers. This would be a great opportunity to do the work needed to create them. Then, use the new JSON framework to allow parsing a JSON field as a specified Drill type.




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