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Posted to dev@flink.apache.org by "Ramin Gharib (Jira)" <ji...@apache.org> on 2026/10/12 16:26:00 UTC
[jira] [Created] (FLINK-40978) Cast from VARIANT through FromVariantConverter
Ramin Gharib created FLINK-40978:
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Summary: Cast from VARIANT through FromVariantConverter
Key: FLINK-40978
URL: https://issues.apache.org/jira/browse/FLINK-40978
Project: Flink
Issue Type: Improvement
Components: Table SQL / Planner, Table SQL / Runtime
Affects Versions: 2.4.0
Reporter: Ramin Gharib
Assignee: Ramin Gharib
Every \{{CAST(v AS T)}} from \{{VARIANT}} generates its own code today. Six planner cast rules each emit the walk for their target: primitives, ARRAY, ROW, MAP and character strings, plus a shared base class. For \{{CAST(v AS ARRAY<INT>)}} the generated code is:
{code:java}
int arraySize$2 = VariantCastUtils.arraySize(variant$1, "ARRAY<INT>");
java.lang.Integer[] objArray$3 = new java.lang.Integer[arraySize$2];
for (int i$4 = 0; i$4 < arraySize$2; i$4++) {
Variant element$5 = variant$1.getElement(i$4);
if (!element$5.isNull()) {
result$6 = ((int) VariantCastUtils.toIntegral(element$5, -2147483648L, 2147483647L, "INTEGER"));
objArray$3[i$4] = result$6;
}
}
result$0 = new GenericArrayData(objArray$3);
{code}
The write side went the other way in FLINK-40826. \{{CAST(x AS VARIANT)}} calls a \{{ToVariantConverter}} in flink-table-common, built once per type. The read side has no such class. A format that reads a \{{VARIANT}} into SQL types cannot reuse the cast, and the null and shape rules are spread over several rules.
h3. Proposal
Add \{{FromVariantConverter}} to flink-table-common as the twin of \{{ToVariantConverter}}. It is built once per target type and returns internal data. The generated code shrinks to one call:
{code:java}
result$1 = ((ArrayData)(fromVariantConverter$2.convert(variant$0)));
{code}
* Merge the six read-side rules into one \{{FromVariantCastRule}}. Printing keeps its own path through \{{VariantCastUtils#toPrintString}}, because a printed value must never fail.
* Move \{{VariantCastUtils}} from flink-table-runtime to flink-table-common. The converter calls it, and common cannot depend on runtime. The class is \{{@Internal}}.
* Add \{{getSessionZoneId()}} to \{{CodeGeneratorCastRule.Context}}. The converter needs the zone when it is created. \{{CastRule.Context}} already exposes it.
h3. Behavior
No user-visible change. Every result, error message and null rule stays the same. Existing tests pass unchanged, apart from the rule names in \{{CastRuleProviderTest}}.
Internal differences:
* A \{{ROW}} result is a \{{GenericRowData}} instead of a \{{BinaryRowData}}, because \{{BinaryRowWriter}} is not in common. A \{{VARIANT}} below a \{{ROW}} is still copied out of its parent.
* An \{{ARRAY}} of a \{{NOT NULL}} primitive holds boxed values instead of a primitive array.
* A primitive target boxes its value through the converter. The write side accepted the same cost.
* A \{{DISTINCT}} target now casts like its source type. It used to fail during code generation. SQL cannot create such a type.
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