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[SPARK-53438][CONNECT][SQL] Use CatalystConverter in LiteralExpressionProtoConverter
### What changes were proposed in this pull request? This PR refactors the `LiteralExpressionProtoConverter` to use `CatalystTypeConverters` for consistent type conversion, eliminating code duplication and improving maintainability. **Key changes:** 1. **Simplified `LiteralExpressionProtoConverter.toCatalystExpression()`**: Replaced the large switch statement (86 lines) with a clean 3-line implementation that leverages existing conversion utilities 2. **Added TIME type support**: Added missing TIME literal type conversion in `LiteralValueProtoConverter.toScalaValue()` ### Why are the changes needed? 1. **Type conversion issues**: Some complex nested data structures (e.g., arrays of case classes) failed to convert to Catalyst's internal representation when using `expressions.Literal.create(...)`. 2. **Inconsistent behaviors**: Differences in behavior between Spark Connect and classic Spark for the same data types (e.g., Decimal). ### Does this PR introduce _any_ user-facing change? **Yes** - Users can now successfully use `typedLit` with an array of case classes. Previously, attempting to use `typedlit(Array(CaseClass(1, "a")))` would fail (please see the code piece below for details), but now it works correctly and converts case classes to proper struct representations. ```scala import org.apache.spark.sql.functions.typedlit case class CaseClass(a: Int, b: String) spark.sql("select 1").select(typedlit(Array(CaseClass(1, "a")))).collect() // Below is the error message: """ org.apache.spark.SparkIllegalArgumentException: requirement failed: Literal must have a corresponding value to array<struct<a:int,b:string>>, but class GenericArrayData found. scala.Predef$.require(Predef.scala:337) org.apache.spark.sql.catalyst.expressions.Literal$.validateLiteralValue(literals.scala:306) org.apache.spark.sql.catalyst.expressions.Literal.<init>(literals.scala:456) org.apache.spark.sql.catalyst.expressions.Literal$.create(literals.scala:206) org.apache.spark.sql.connect.planner.LiteralExpressionProtoConverter$.toCatalystExpression(LiteralExpressionProtoConverter.scala:103) """ ``` Besides, some catalyst values (e.g., Decimal 89.97620 -> 89.976200000000000000) have changed. Please see the changes in `explain-results/` for details. ```scala import org.apache.spark.sql.functions.typedlit spark.sql("select 1").select(typedlit(BigDecimal(8997620, 5)),typedlit(Array(BigDecimal(8997620, 5), BigDecimal(8997621, 5)))).explain() // Current explain() output: """ Project [89.97620 AS 89.97620#819, [89.97620,89.97621] AS ARRAY(89.97620BD, 89.97621BD)#820] """ // Expected explain() output (i.e., same as the classic mode): """ Project [89.976200000000000000 AS 89.976200000000000000#132, [89.976200000000000000,89.976210000000000000] AS ARRAY(89.976200000000000000BD, 89.976210000000000000BD)#133] """ ``` ### How was this patch tested? `build/sbt "connect-client-jvm/testOnly org.apache.spark.sql.PlanGenerationTestSuite"` `build/sbt "connect/testOnly org.apache.spark.sql.connect.ProtoToParsedPlanTestSuite"` ### Was this patch authored or co-authored using generative AI tooling? Generated-by: Cursor 1.4.5 Closes apache#52188 from heyihong/SPARK-53438. Authored-by: Yihong He <heyihong.cn@gmail.com> Signed-off-by: Wenchen Fan <wenchen@databricks.com>
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‎sql/connect/client/jvm/src/test/scala/org/apache/spark/sql/PlanGenerationTestSuite.scala‎

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@@ -307,6 +307,8 @@ class PlanGenerationTestSuite
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private def temporals = createLocalRelation(temporalsSchemaString)
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private def boolean = createLocalRelation(booleanSchemaString)
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private case class CaseClass(a: Int, b: String)
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/* Spark Session API */
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test("range") {
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session.range(1, 10, 1, 2)
@@ -3433,6 +3435,8 @@ class PlanGenerationTestSuite
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fn.typedlit[collection.immutable.Map[Int, Option[Int]]](
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collection.immutable.Map(1 -> None)),
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fn.typedLit(Seq(Seq(1, 2, 3), Seq(4, 5, 6), Seq(7, 8, 9))),
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fn.typedLit(Seq((1, "2", Seq("3", "4")), (5, "6", Seq.empty[String]))),
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fn.typedLit(Seq(CaseClass(1, "2"), CaseClass(3, "4"), CaseClass(5, "6"))),
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fn.typedLit(
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Seq(
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mutable.LinkedHashMap("a" -> 1, "b" -> 2),

‎sql/connect/common/src/main/scala/org/apache/spark/sql/connect/common/LiteralValueProtoConverter.scala‎

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@@ -476,6 +476,9 @@ object LiteralValueProtoConverter {
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case proto.Expression.Literal.LiteralTypeCase.DAY_TIME_INTERVAL =>
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SparkIntervalUtils.microsToDuration(literal.getDayTimeInterval)
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case proto.Expression.Literal.LiteralTypeCase.TIME =>
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SparkDateTimeUtils.nanosToLocalTime(literal.getTime.getNano)
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case proto.Expression.Literal.LiteralTypeCase.ARRAY =>
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toScalaArray(literal.getArray)
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‎sql/connect/common/src/test/resources/query-tests/explain-results/function_lit_array.explain‎

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Project [[] AS ARRAY()#0, [[1],[2],[3]] AS ARRAY(ARRAY(1), ARRAY(2), ARRAY(3))#0, [[[1]],[[2]],[[3]]] AS ARRAY(ARRAY(ARRAY(1)), ARRAY(ARRAY(2)), ARRAY(ARRAY(3)))#0, [true,false] AS ARRAY(true, false)#0, 0x434445 AS X'434445'#0, [9872,9873,9874] AS ARRAY(9872S, 9873S, 9874S)#0, [-8726532,8726532,-8726533] AS ARRAY(-8726532, 8726532, -8726533)#0, [7834609328726531,7834609328726532,7834609328726533] AS ARRAY(7834609328726531L, 7834609328726532L, 7834609328726533L)#0, [2.718281828459045,1.0,2.0] AS ARRAY(2.718281828459045D, 1.0D, 2.0D)#0, [-0.8,-0.7,-0.9] AS ARRAY(CAST('-0.8' AS FLOAT), CAST('-0.7' AS FLOAT), CAST('-0.9' AS FLOAT))#0, [89.97620,89.97621] AS ARRAY(89.97620BD, 89.97621BD)#0, [89889.7667231,89889.7667231] AS ARRAY(89889.7667231BD, 89889.7667231BD)#0, [connect!,disconnect!] AS ARRAY('connect!', 'disconnect!')#0, TF AS TF#0, [ABCDEFGHIJ,BCDEFGHIJK] AS ARRAY('ABCDEFGHIJ', 'BCDEFGHIJK')#0, [18545,18546] AS ARRAY(DATE '2020-10-10', DATE '2020-10-11')#0, [1677155519808000,1677155519809000] AS ARRAY(TIMESTAMP '2023-02-23 04:31:59.808', TIMESTAMP '2023-02-23 04:31:59.809')#0, [12345000,23456000] AS ARRAY(TIMESTAMP '1969-12-31 16:00:12.345', TIMESTAMP '1969-12-31 16:00:23.456')#0, [1677184560000000,1677188160000000] AS ARRAY(TIMESTAMP_NTZ '2023-02-23 20:36:00', TIMESTAMP_NTZ '2023-02-23 21:36:00')#0, [19411,19417] AS ARRAY(DATE '2023-02-23', DATE '2023-03-01')#0, [100000000,200000000] AS ARRAY(INTERVAL '0 00:01:40' DAY TO SECOND, INTERVAL '0 00:03:20' DAY TO SECOND)#0, [0,0] AS ARRAY(INTERVAL '0-0' YEAR TO MONTH, INTERVAL '0-0' YEAR TO MONTH)#0, [2 months 20 days 0.0001 seconds,2 months 21 days 0.0002 seconds] AS ARRAY(INTERVAL '2 months 20 days 0.0001 seconds', INTERVAL '2 months 21 days 0.0002 seconds')#0]
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Project [[] AS ARRAY()#0, [[1],[2],[3]] AS ARRAY(ARRAY(1), ARRAY(2), ARRAY(3))#0, [[[1]],[[2]],[[3]]] AS ARRAY(ARRAY(ARRAY(1)), ARRAY(ARRAY(2)), ARRAY(ARRAY(3)))#0, [true,false] AS ARRAY(true, false)#0, 0x434445 AS X'434445'#0, [9872,9873,9874] AS ARRAY(9872S, 9873S, 9874S)#0, [-8726532,8726532,-8726533] AS ARRAY(-8726532, 8726532, -8726533)#0, [7834609328726531,7834609328726532,7834609328726533] AS ARRAY(7834609328726531L, 7834609328726532L, 7834609328726533L)#0, [2.718281828459045,1.0,2.0] AS ARRAY(2.718281828459045D, 1.0D, 2.0D)#0, [-0.8,-0.7,-0.9] AS ARRAY(CAST('-0.8' AS FLOAT), CAST('-0.7' AS FLOAT), CAST('-0.9' AS FLOAT))#0, [89.976200000000000000,89.976210000000000000] AS ARRAY(89.976200000000000000BD, 89.976210000000000000BD)#0, [89889.766723100000000000,89889.766723100000000000] AS ARRAY(89889.766723100000000000BD, 89889.766723100000000000BD)#0, [connect!,disconnect!] AS ARRAY('connect!', 'disconnect!')#0, TF AS TF#0, [ABCDEFGHIJ,BCDEFGHIJK] AS ARRAY('ABCDEFGHIJ', 'BCDEFGHIJK')#0, [18545,18546] AS ARRAY(DATE '2020-10-10', DATE '2020-10-11')#0, [1677155519808000,1677155519809000] AS ARRAY(TIMESTAMP '2023-02-23 04:31:59.808', TIMESTAMP '2023-02-23 04:31:59.809')#0, [12345000,23456000] AS ARRAY(TIMESTAMP '1969-12-31 16:00:12.345', TIMESTAMP '1969-12-31 16:00:23.456')#0, [1677184560000000,1677188160000000] AS ARRAY(TIMESTAMP_NTZ '2023-02-23 20:36:00', TIMESTAMP_NTZ '2023-02-23 21:36:00')#0, [19411,19417] AS ARRAY(DATE '2023-02-23', DATE '2023-03-01')#0, [100000000,200000000] AS ARRAY(INTERVAL '0 00:01:40' DAY TO SECOND, INTERVAL '0 00:03:20' DAY TO SECOND)#0, [0,0] AS ARRAY(INTERVAL '0-0' YEAR TO MONTH, INTERVAL '0-0' YEAR TO MONTH)#0, [2 months 20 days 0.0001 seconds,2 months 21 days 0.0002 seconds] AS ARRAY(INTERVAL '2 months 20 days 0.0001 seconds', INTERVAL '2 months 21 days 0.0002 seconds')#0]
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+- LocalRelation <empty>, [id#0L, a#0, b#0]

‎sql/connect/common/src/test/resources/query-tests/explain-results/function_typedLit.explain‎

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Project [id#0L, id#0L, 1 AS 1#0, null AS NULL#0, true AS true#0, 68 AS 68#0, 9872 AS 9872#0, -8726532 AS -8726532#0, 7834609328726532 AS 7834609328726532#0L, 2.718281828459045 AS 2.718281828459045#0, -0.8 AS -0.8#0, 89.97620 AS 89.97620#0, 89889.7667231 AS 89889.7667231#0, connect! AS connect!#0, T AS T#0, ABCDEFGHIJ AS ABCDEFGHIJ#0, 0x78797A7B7C7D7E7F808182838485868788898A8B8C8D8E AS X'78797A7B7C7D7E7F808182838485868788898A8B8C8D8E'#0, 0x0806 AS X'0806'#0, [8,6] AS ARRAY(8, 6)#0, null AS NULL#0, 2020-10-10 AS DATE '2020-10-10'#0, 8.997620 AS 8.997620#0, 2023-02-23 04:31:59.808 AS TIMESTAMP '2023-02-23 04:31:59.808'#0, 1969-12-31 16:00:12.345 AS TIMESTAMP '1969-12-31 16:00:12.345'#0, 2023-02-23 20:36:00 AS TIMESTAMP_NTZ '2023-02-23 20:36:00'#0, 2023-02-23 AS DATE '2023-02-23'#0, INTERVAL '0 00:03:20' DAY TO SECOND AS INTERVAL '0 00:03:20' DAY TO SECOND#0, INTERVAL '0-0' YEAR TO MONTH AS INTERVAL '0-0' YEAR TO MONTH#0, 23:59:59.999999999 AS TIME '23:59:59.999999999'#0, 2 months 20 days 0.0001 seconds AS INTERVAL '2 months 20 days 0.0001 seconds'#0, [18545,1677155519808000,12345000,1677184560000000,19411,200000000,0,86399999999999,2 months 20 days 0.0001 seconds] AS NAMED_STRUCT('_1', DATE '2020-10-10', '_2', TIMESTAMP '2023-02-23 04:31:59.808', '_3', TIMESTAMP '1969-12-31 16:00:12.345', '_4', TIMESTAMP_NTZ '2023-02-23 20:36:00', '_5', DATE '2023-02-23', '_6', INTERVAL '0 00:03:20' DAY TO SECOND, '_7', INTERVAL '0-0' YEAR TO MONTH, '_8', TIME '23:59:59.999999999', '_9', INTERVAL '2 months 20 days 0.0001 seconds')#0, 1 AS 1#0, [1,2,3] AS ARRAY(1, 2, 3)#0, [null,null] AS ARRAY(CAST(NULL AS INT), CAST(NULL AS INT))#0, [null,null,[1,a],[2,null]] AS ARRAY(NULL, NULL, NAMED_STRUCT('_1', 1, '_2', 'a'), NAMED_STRUCT('_1', 2, '_2', CAST(NULL AS STRING)))#0, [null,null,[1,a]] AS ARRAY(NULL, NULL, NAMED_STRUCT('_1', 1, '_2', 'a'))#0, [1,2,3] AS ARRAY(1, 2, 3)#0, map(keys: [a,b], values: [1,2]) AS MAP('a', 1, 'b', 2)#0, map(keys: [a,b], values: [null,null]) AS MAP('a', CAST(NULL AS INT), 'b', CAST(NULL AS INT))#0, [a,2,1.0] AS NAMED_STRUCT('_1', 'a', '_2', 2, '_3', 1.0D)#0, null AS NULL#0, [1] AS ARRAY(1)#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, [[1,2,3],[4,5,6],[7,8,9]] AS ARRAY(ARRAY(1, 2, 3), ARRAY(4, 5, 6), ARRAY(7, 8, 9))#0, [keys: [a,b], values: [1,2],keys: [a,b], values: [3,4],keys: [a,b], values: [5,6]] AS ARRAY(MAP('a', 1, 'b', 2), MAP('a', 3, 'b', 4), MAP('a', 5, 'b', 6))#0, [keys: [a,b], values: [[1,2],[3,4]],keys: [a,b], values: [[5,6],[7,8]],keys: [a,b], values: [[],[]]] AS ARRAY(MAP('a', ARRAY('1', '2'), 'b', ARRAY('3', '4')), MAP('a', ARRAY('5', '6'), 'b', ARRAY('7', '8')), MAP('a', ARRAY(), 'b', ARRAY()))#0, map(keys: [1,2], values: [keys: [a,b], values: [1,2],keys: [a,b], values: [3,4]]) AS MAP(1, MAP('a', 1, 'b', 2), 2, MAP('a', 3, 'b', 4))#0, [[1,2,3],keys: [a,b], values: [1,2],[a,keys: [1,2], values: [a,b]]] AS NAMED_STRUCT('_1', ARRAY(1, 2, 3), '_2', MAP('a', 1, 'b', 2), '_3', NAMED_STRUCT('_1', 'a', '_2', MAP(1, 'a', 2, 'b')))#0]
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Project [id#0L, id#0L, 1 AS 1#0, null AS NULL#0, true AS true#0, 68 AS 68#0, 9872 AS 9872#0, -8726532 AS -8726532#0, 7834609328726532 AS 7834609328726532#0L, 2.718281828459045 AS 2.718281828459045#0, -0.8 AS -0.8#0, 89.97620 AS 89.97620#0, 89889.7667231 AS 89889.7667231#0, connect! AS connect!#0, T AS T#0, ABCDEFGHIJ AS ABCDEFGHIJ#0, 0x78797A7B7C7D7E7F808182838485868788898A8B8C8D8E AS X'78797A7B7C7D7E7F808182838485868788898A8B8C8D8E'#0, 0x0806 AS X'0806'#0, [8,6] AS ARRAY(8, 6)#0, null AS NULL#0, 2020-10-10 AS DATE '2020-10-10'#0, 8.997620 AS 8.997620#0, 2023-02-23 04:31:59.808 AS TIMESTAMP '2023-02-23 04:31:59.808'#0, 1969-12-31 16:00:12.345 AS TIMESTAMP '1969-12-31 16:00:12.345'#0, 2023-02-23 20:36:00 AS TIMESTAMP_NTZ '2023-02-23 20:36:00'#0, 2023-02-23 AS DATE '2023-02-23'#0, INTERVAL '0 00:03:20' DAY TO SECOND AS INTERVAL '0 00:03:20' DAY TO SECOND#0, INTERVAL '0-0' YEAR TO MONTH AS INTERVAL '0-0' YEAR TO MONTH#0, 23:59:59.999999999 AS TIME '23:59:59.999999999'#0, 2 months 20 days 0.0001 seconds AS INTERVAL '2 months 20 days 0.0001 seconds'#0, [18545,1677155519808000,12345000,1677184560000000,19411,200000000,0,86399999999999,2 months 20 days 0.0001 seconds] AS NAMED_STRUCT('_1', DATE '2020-10-10', '_2', TIMESTAMP '2023-02-23 04:31:59.808', '_3', TIMESTAMP '1969-12-31 16:00:12.345', '_4', TIMESTAMP_NTZ '2023-02-23 20:36:00', '_5', DATE '2023-02-23', '_6', INTERVAL '0 00:03:20' DAY TO SECOND, '_7', INTERVAL '0-0' YEAR TO MONTH, '_8', TIME '23:59:59.999999999', '_9', INTERVAL '2 months 20 days 0.0001 seconds')#0, 1 AS 1#0, [1,2,3] AS ARRAY(1, 2, 3)#0, [null,null] AS ARRAY(CAST(NULL AS INT), CAST(NULL AS INT))#0, [null,null,[1,a],[2,null]] AS ARRAY(NULL, NULL, NAMED_STRUCT('_1', 1, '_2', 'a'), NAMED_STRUCT('_1', 2, '_2', CAST(NULL AS STRING)))#0, [null,null,[1,a]] AS ARRAY(NULL, NULL, NAMED_STRUCT('_1', 1, '_2', 'a'))#0, [1,2,3] AS ARRAY(1, 2, 3)#0, map(keys: [a,b], values: [1,2]) AS MAP('a', 1, 'b', 2)#0, map(keys: [a,b], values: [null,null]) AS MAP('a', CAST(NULL AS INT), 'b', CAST(NULL AS INT))#0, [a,2,1.0] AS NAMED_STRUCT('_1', 'a', '_2', 2, '_3', 1.0D)#0, null AS NULL#0, [1] AS ARRAY(1)#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, map(keys: [1], values: [null]) AS MAP(1, CAST(NULL AS INT))#0, [[1,2,3],[4,5,6],[7,8,9]] AS ARRAY(ARRAY(1, 2, 3), ARRAY(4, 5, 6), ARRAY(7, 8, 9))#0, [[1,2,[3,4]],[5,6,[]]] AS ARRAY(NAMED_STRUCT('_1', 1, '_2', '2', '_3', ARRAY('3', '4')), NAMED_STRUCT('_1', 5, '_2', '6', '_3', ARRAY()))#0, [[1,2],[3,4],[5,6]] AS ARRAY(NAMED_STRUCT('a', 1, 'b', '2'), NAMED_STRUCT('a', 3, 'b', '4'), NAMED_STRUCT('a', 5, 'b', '6'))#0, [keys: [a,b], values: [1,2],keys: [a,b], values: [3,4],keys: [a,b], values: [5,6]] AS ARRAY(MAP('a', 1, 'b', 2), MAP('a', 3, 'b', 4), MAP('a', 5, 'b', 6))#0, [keys: [a,b], values: [[1,2],[3,4]],keys: [a,b], values: [[5,6],[7,8]],keys: [a,b], values: [[],[]]] AS ARRAY(MAP('a', ARRAY('1', '2'), 'b', ARRAY('3', '4')), MAP('a', ARRAY('5', '6'), 'b', ARRAY('7', '8')), MAP('a', ARRAY(), 'b', ARRAY()))#0, map(keys: [1,2], values: [keys: [a,b], values: [1,2],keys: [a,b], values: [3,4]]) AS MAP(1, MAP('a', 1, 'b', 2), 2, MAP('a', 3, 'b', 4))#0, [[1,2,3],keys: [a,b], values: [1,2],[a,keys: [1,2], values: [a,b]]] AS NAMED_STRUCT('_1', ARRAY(1, 2, 3), '_2', MAP('a', 1, 'b', 2), '_3', NAMED_STRUCT('_1', 'a', '_2', MAP(1, 'a', 2, 'b')))#0]
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+- LocalRelation <empty>, [id#0L, a#0, b#0]

‎sql/connect/common/src/test/resources/query-tests/queries/function_typedLit.json‎

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}
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}
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}
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}, {
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"literal": {
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"array": {
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"elements": [{
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"struct": {
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"elements": [{
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"integer": 1
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}, {
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"string": "2"
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}, {
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"array": {
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"elements": [{
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"string": "3"
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}, {
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"string": "4"
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}],
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"dataType": {
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"elementType": {
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"string": {
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"collation": "UTF8_BINARY"
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}
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},
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"containsNull": true
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}
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}
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}],
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"dataTypeStruct": {
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"fields": [{
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"name": "_1"
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}, {
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"name": "_2",
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"dataType": {
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"string": {
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"collation": "UTF8_BINARY"
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}
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},
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"nullable": true
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}, {
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"name": "_3",
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"nullable": true
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}]
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}
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}
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}, {
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"struct": {
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"elements": [{
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"integer": 5
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}, {
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"string": "6"
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}, {
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"array": {
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"elementType": {
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"string": {
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"collation": "UTF8_BINARY"
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}
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},
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"containsNull": true
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}
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}
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}],
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"dataTypeStruct": {
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"fields": [{
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"name": "_1"
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}, {
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"name": "_2",
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"dataType": {
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"string": {
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"collation": "UTF8_BINARY"
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}
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},
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"nullable": true
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}, {
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"name": "_3",
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"nullable": true
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}]
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}
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}
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}],
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"dataType": {
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"containsNull": true
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}
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}
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},
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"common": {
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"origin": {
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"jvmOrigin": {
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"stackTrace": [{
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"classLoaderName": "app",
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"declaringClass": "org.apache.spark.sql.functions$",
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"methodName": "typedLit",
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"fileName": "functions.scala"
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}, {
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"classLoaderName": "app",
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"declaringClass": "org.apache.spark.sql.PlanGenerationTestSuite",
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"methodName": "~~trimmed~anonfun~~",
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"fileName": "PlanGenerationTestSuite.scala"
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}]
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}
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}
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}
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}, {
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"literal": {
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"array": {
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"elements": [{
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"struct": {
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"elements": [{
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"integer": 1
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}, {
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"string": "2"
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}],
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"dataTypeStruct": {
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"fields": [{
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"name": "a"
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‎sql/connect/common/src/test/resources/query-tests/queries/function_typedLit.proto.bin‎

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