[SPARK-40371][SQL] Migrate type check failures of NthValue and NTile onto error classes #38457
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MaxGekk
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Nov 1, 2022
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+1, LGTM. Merging to master. |
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Thanks @MaxGekk |
SandishKumarHN
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Dec 12, 2022
…onto error classes ### What changes were proposed in this pull request? This pr aims to replace TypeCheckFailure by DataTypeMismatch in type checks in window expressions, includes `NthValue` and `NTile` ### Why are the changes needed? Migration onto error classes unifies Spark SQL error messages. ### Does this PR introduce _any_ user-facing change? Yes. The PR changes user-facing error messages. ### How was this patch tested? Pass GitHub Actions Closes apache#38457 from LuciferYang/SPARK-40371. Authored-by: yangjie01 <[email protected]> Signed-off-by: Max Gekk <[email protected]>
dongjoon-hyun
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May 2, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR #38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
dongjoon-hyun
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May 2, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR #38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]> (cherry picked from commit b99a64b) Signed-off-by: Dongjoon Hyun <[email protected]>
dongjoon-hyun
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May 2, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR #38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]> (cherry picked from commit b99a64b) Signed-off-by: Dongjoon Hyun <[email protected]>
JoshRosen
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May 2, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR apache#38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
JoshRosen
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May 2, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR apache#38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
dongjoon-hyun
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May 2, 2024
…aTypes() when argument is non-foldable or of wrong type branch-3.5 pick of PR #46333 , fixing test issue due to difference in expected error message parameter formatting across branches; original description follows below: --- ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR #38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #46336 from JoshRosen/SPARK-48081-branch-3.5. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
dongjoon-hyun
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May 2, 2024
…aTypes() when argument is non-foldable or of wrong type branch-3.4 pick of PR #46333 , fixing test issue due to difference in expected error message parameter formatting across branches; original description follows below: --- ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR #38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes #46337 from JoshRosen/SPARK-48081-branch-3.4. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
JacobZheng0927
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May 11, 2024
…hen argument is non-foldable or of wrong type ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR apache#38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46333 from JoshRosen/SPARK-48081. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]>
szehon-ho
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Aug 7, 2024
…aTypes() when argument is non-foldable or of wrong type branch-3.4 pick of PR apache#46333 , fixing test issue due to difference in expected error message parameter formatting across branches; original description follows below: --- ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR apache#38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46337 from JoshRosen/SPARK-48081-branch-3.4. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]> (cherry picked from commit 681a1de)
turboFei
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Nov 6, 2025
…aTypes() when argument is non-foldable or of wrong type (apache#387) branch-3.5 pick of PR apache#46333 , fixing test issue due to difference in expected error message parameter formatting across branches; original description follows below: --- ### What changes were proposed in this pull request? While migrating the `NTile` expression's type check failures to the new error class framework, PR apache#38457 removed a pair of not-unnecessary `return` statements and thus caused certain branches' values to be discarded rather than returned. As a result, invalid usages like ``` select ntile(99.9) OVER (order by id) from range(10) ``` trigger internal errors like errors like ``` java.lang.ClassCastException: class org.apache.spark.sql.types.Decimal cannot be cast to class java.lang.Integer (org.apache.spark.sql.types.Decimal is in unnamed module of loader 'app'; java.lang.Integer is in module java.base of loader 'bootstrap') at scala.runtime.BoxesRunTime.unboxToInt(BoxesRunTime.java:99) at org.apache.spark.sql.catalyst.expressions.NTile.checkInputDataTypes(windowExpressions.scala:877) ``` instead of clear error framework errors like ``` org.apache.spark.sql.catalyst.ExtendedAnalysisException: [DATATYPE_MISMATCH.UNEXPECTED_INPUT_TYPE] Cannot resolve "ntile(99.9)" due to data type mismatch: The first parameter requires the "INT" type, however "99.9" has the type "DECIMAL(3,1)". SQLSTATE: 42K09; line 1 pos 7; 'Project [unresolvedalias(ntile(99.9) windowspecdefinition(id#0L ASC NULLS FIRST, specifiedwindowframe(RowFrame, unboundedpreceding$(), currentrow$())))] +- Range (0, 10, step=1, splits=None) at org.apache.spark.sql.catalyst.analysis.package$AnalysisErrorAt.dataTypeMismatch(package.scala:73) at org.apache.spark.sql.catalyst.analysis.CheckAnalysis.$anonfun$checkAnalysis0$7(CheckAnalysis.scala:315) ``` ### Why are the changes needed? Improve error messages. ### Does this PR introduce _any_ user-facing change? Yes, it improves an error message. ### How was this patch tested? Added a new test case to AnalysisErrorSuite. ### Was this patch authored or co-authored using generative AI tooling? No. Closes apache#46336 from JoshRosen/SPARK-48081-branch-3.5. Authored-by: Josh Rosen <[email protected]> Signed-off-by: Dongjoon Hyun <[email protected]> Co-authored-by: Josh Rosen <[email protected]>
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What changes were proposed in this pull request?
This pr aims to replace TypeCheckFailure by DataTypeMismatch in type checks in window expressions, includes
NthValueandNTileWhy are the changes needed?
Migration onto error classes unifies Spark SQL error messages.
Does this PR introduce any user-facing change?
Yes. The PR changes user-facing error messages.
How was this patch tested?
Pass GitHub Actions