ryux1 commented on code in PR #19850:
URL: https://github.com/apache/hudi/pull/19850#discussion_r3943935156
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/procedure/TestHoodieProcedureFilterUtils.scala:
##########
@@ -120,21 +120,26 @@ class TestHoodieProcedureFilterUtils extends
HoodieSparkProcedureTestBase {
assertResult(Seq.empty)(keep(scalarRows, "price > 15.0", scalarSchema))
}
- test("evaluateFilter silently drops rows for functions outside the
resolution table") {
- // Known limitation: a function missing from the resolution table falls
through as an
- // UnresolvedFunction. validateFilterExpression only checks column
references, so nothing
- // rejects it; instead evaluation fails per row and the row is dropped,
which looks like an
- // empty result rather than an error. Pinned here so a fix flips these;
see #19638.
+ test("validateFilterExpression rejects functions outside the resolution
table") {
+ // Direct evaluation still treats an unresolved function as a non-match,
but procedure callers
+ // validate first so unsupported functions are reported instead of
silently dropping every row.
assertResult(Seq.empty)(keep(scalarRows, "concat(name, 'x') = 'a1x'",
scalarSchema))
assertResult(Seq.empty)(keep(scalarRows, "instr(name, 'a') = 1",
scalarSchema))
- assertResult(Right(()))(
- HoodieProcedureFilterUtils.validateFilterExpression("concat(name, 'x') =
'a1x'", scalarSchema, spark))
+ val unsupported = HoodieProcedureFilterUtils.validateFilterExpression(
+ "concat(name, 'x') = 'a1x' OR instr(name, 'a') = 1", scalarSchema, spark)
+ assert(unsupported.isLeft)
+ val unsupportedMsg = unsupported.fold(identity, _ => "")
+ assert(unsupportedMsg.contains("Unsupported functions: concat, instr"))
+ assert(unsupportedMsg.contains("Supported functions:"))
+ assert(unsupportedMsg.contains("upper"))
// if() is parsed as a function call and hits the same gap, while the
equivalent CASE WHEN is
Review Comment:
Addressed in 1dd694b. `if(...)` now has an explicit validation rejection
assertion, and the direct-evaluation comment no longer describes the validation
behavior.
##########
hudi-spark-datasource/hudi-spark/src/test/scala/org/apache/spark/sql/hudi/procedure/TestHoodieProcedureFilterUtils.scala:
##########
@@ -120,21 +120,26 @@ class TestHoodieProcedureFilterUtils extends
HoodieSparkProcedureTestBase {
assertResult(Seq.empty)(keep(scalarRows, "price > 15.0", scalarSchema))
}
- test("evaluateFilter silently drops rows for functions outside the
resolution table") {
- // Known limitation: a function missing from the resolution table falls
through as an
- // UnresolvedFunction. validateFilterExpression only checks column
references, so nothing
- // rejects it; instead evaluation fails per row and the row is dropped,
which looks like an
- // empty result rather than an error. Pinned here so a fix flips these;
see #19638.
+ test("validateFilterExpression rejects functions outside the resolution
table") {
+ // Direct evaluation still treats an unresolved function as a non-match,
but procedure callers
+ // validate first so unsupported functions are reported instead of
silently dropping every row.
assertResult(Seq.empty)(keep(scalarRows, "concat(name, 'x') = 'a1x'",
scalarSchema))
assertResult(Seq.empty)(keep(scalarRows, "instr(name, 'a') = 1",
scalarSchema))
- assertResult(Right(()))(
- HoodieProcedureFilterUtils.validateFilterExpression("concat(name, 'x') =
'a1x'", scalarSchema, spark))
+ val unsupported = HoodieProcedureFilterUtils.validateFilterExpression(
+ "concat(name, 'x') = 'a1x' OR instr(name, 'a') = 1", scalarSchema, spark)
+ assert(unsupported.isLeft)
+ val unsupportedMsg = unsupported.fold(identity, _ => "")
+ assert(unsupportedMsg.contains("Unsupported functions: concat, instr"))
+ assert(unsupportedMsg.contains("Supported functions:"))
+ assert(unsupportedMsg.contains("upper"))
// if() is parsed as a function call and hits the same gap, while the
equivalent CASE WHEN is
// lowered by the parser without an UnresolvedFunction and evaluates fine.
assertResult(Seq.empty)(keep(scalarRows, "if(name = 'a1', true, false)",
scalarSchema))
assertResult(Seq(scalarRows.head))(
keep(scalarRows, "case when name = 'a1' then true else false end",
scalarSchema))
// Control: a function that is in the resolution table resolves and
matches.
+ assertResult(Right(()))(
+ HoodieProcedureFilterUtils.validateFilterExpression("upper(name) =
'A1'", scalarSchema, spark))
assertResult(Seq(scalarRows.head))(keep(scalarRows, "upper(name) = 'A1'",
scalarSchema))
Review Comment:
Removed the duplicate assertion while reorganizing the validation coverage
in 1dd694b.
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