cloud-fan opened a new pull request #35004:
URL: https://github.com/apache/spark/pull/35004
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### What changes were proposed in this pull request?
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Today, the function lookup code path is pretty hard to understand as it
spreads over many places:
1. lookup v1 function
2. lookup v2 function
3. lookup higher-order function
4. lookup table function
5. lookup functions in different levels: builtin, temp and persistent.
This PR is a major refactor of the function lookup code path and cleans it
up quite a bit. In general, it follows the idea of table lookup:
1. Analyzer looks up built-in or temp functions first.
2. Analyzer qualifies the function name with current catalog and namespace,
or with view catalog/namespace if we are resolving a view.
3. Analyzer calls v1 sessin catalog if the catalog is `spark_catalog`,
otherwise call the v2 catalog.
With this refactor, the analyzer is kind of the router and the v1 session
catalog can just have some small functions with very specific goals.
The function DDL commands also follow similar table/view commands and can
fail automatically if the command requires persistent functions but the
resolved function is built-in/temp. After this change, it should be simpler to
add v2 function DDL commands.
Note that, table function lookup is still in its own rule as it has a
dedicated function registry and doesn't share the namespace of the scalar
functions.
### Why are the changes needed?
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code cleanup to improve readability.
### Does this PR introduce _any_ user-facing change?
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No
### How was this patch tested?
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existing tests
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