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[SPARK-25208][SQL] Loosen Cast.forceNullable for DecimalType. #22200

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[SPARK-25208][SQL] Loosen Cast.forceNullable for DecimalType. #22200

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11 changes: 10 additions & 1 deletion sql/catalyst/src/main/scala/org/apache/spark/sql/catalyst/expressions/Cast.scala
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Expand Up @@ -154,6 +154,15 @@ object Cast {
fromPrecedence >= 0 && fromPrecedence < toPrecedence
}

def canNullSafeCastToDecimal(from: DataType, to: DecimalType): Boolean = from match {
case from: BooleanType if to.isWiderThan(DecimalType.BooleanDecimal) => true
case from: NumericType if to.isWiderThan(from) => true
case from: DecimalType =>
// truncating or precision lose
(to.precision - to.scale) > (from.precision - from.scale)
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@cloud-fan cloud-fan Nov 12, 2018

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why it's not >= but >?

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@ueshin ueshin Nov 12, 2018

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In this case, we need rounding, then we need an extra precision to avoid overflow.
E.g., cast 99.95 of Decimal(4, 2) to Decimal(3, 1) will be 100.0, but it’s an overflow and ends up to null. We need Decimal(4, 1) to be null-safe.

case _ => false // overflow
}

def forceNullable(from: DataType, to: DataType): Boolean = (from, to) match {
case (NullType, _) => true
case (_, _) if from == to => false
Expand All @@ -169,7 +178,7 @@ object Cast {
case (DateType, _) => true
case (_, CalendarIntervalType) => true

case (_, _: DecimalType) => true // overflow
case (_, to: DecimalType) if !canNullSafeCastToDecimal(from, to) => true
case (_: FractionalType, _: IntegralType) => true // NaN, infinity
case _ => false
}
Expand Down
1 change: 1 addition & 0 deletions sql/catalyst/src/main/scala/org/apache/spark/sql/types/DecimalType.scala
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Expand Up @@ -121,6 +121,7 @@ object DecimalType extends AbstractDataType {
val MINIMUM_ADJUSTED_SCALE = 6

// The decimal types compatible with other numeric types
private[sql] val BooleanDecimal = DecimalType(1, 0)
private[sql] val ByteDecimal = DecimalType(3, 0)
private[sql] val ShortDecimal = DecimalType(5, 0)
private[sql] val IntDecimal = DecimalType(10, 0)
Expand Down
22 changes: 19 additions & 3 deletions sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/analysis/TypeCoercionSuite.scala
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Expand Up @@ -502,7 +502,11 @@ class TypeCoercionSuite extends AnalysisTest {
widenTestWithStringPromotion(
ArrayType(IntegerType, containsNull = false),
ArrayType(DecimalType.IntDecimal, containsNull = false),
Some(ArrayType(DecimalType.IntDecimal, containsNull = true)))
Some(ArrayType(DecimalType.IntDecimal, containsNull = false)))
widenTestWithStringPromotion(
ArrayType(DecimalType(36, 0), containsNull = false),
ArrayType(DecimalType(36, 35), containsNull = false),
Some(ArrayType(DecimalType(38, 35), containsNull = true)))

// MapType
widenTestWithStringPromotion(
Expand All @@ -524,10 +528,18 @@ class TypeCoercionSuite extends AnalysisTest {
widenTestWithStringPromotion(
MapType(StringType, IntegerType, valueContainsNull = false),
MapType(StringType, DecimalType.IntDecimal, valueContainsNull = false),
Some(MapType(StringType, DecimalType.IntDecimal, valueContainsNull = true)))
Some(MapType(StringType, DecimalType.IntDecimal, valueContainsNull = false)))
widenTestWithStringPromotion(
MapType(StringType, DecimalType(36, 0), valueContainsNull = false),
MapType(StringType, DecimalType(36, 35), valueContainsNull = false),
Some(MapType(StringType, DecimalType(38, 35), valueContainsNull = true)))
widenTestWithStringPromotion(
MapType(IntegerType, StringType, valueContainsNull = false),
MapType(DecimalType.IntDecimal, StringType, valueContainsNull = false),
Some(MapType(DecimalType.IntDecimal, StringType, valueContainsNull = false)))
widenTestWithStringPromotion(
MapType(DecimalType(36, 0), StringType, valueContainsNull = false),
MapType(DecimalType(36, 35), StringType, valueContainsNull = false),
None)

// StructType
Expand Down Expand Up @@ -555,7 +567,11 @@ class TypeCoercionSuite extends AnalysisTest {
widenTestWithStringPromotion(
new StructType().add("num", IntegerType, nullable = false),
new StructType().add("num", DecimalType.IntDecimal, nullable = false),
Some(new StructType().add("num", DecimalType.IntDecimal, nullable = true)))
Some(new StructType().add("num", DecimalType.IntDecimal, nullable = false)))
widenTestWithStringPromotion(
new StructType().add("num", DecimalType(36, 0), nullable = false),
new StructType().add("num", DecimalType(36, 35), nullable = false),
Some(new StructType().add("num", DecimalType(38, 35), nullable = true)))

widenTestWithStringPromotion(
new StructType().add("num", IntegerType),
Expand Down
45 changes: 38 additions & 7 deletions sql/catalyst/src/test/scala/org/apache/spark/sql/catalyst/expressions/CastSuite.scala
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Expand Up @@ -399,21 +399,35 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {
}

test("casting to fixed-precision decimals") {
// Overflow and rounding for casting to fixed-precision decimals:
// - Values should round with HALF_UP mode by default when you lower scale
// - Values that would overflow the target precision should turn into null
// - Because of this, casts to fixed-precision decimals should be nullable

assert(cast(123, DecimalType.USER_DEFAULT).nullable === true)
assert(cast(123, DecimalType.USER_DEFAULT).nullable === false)
assert(cast(10.03f, DecimalType.SYSTEM_DEFAULT).nullable === true)
assert(cast(10.03, DecimalType.SYSTEM_DEFAULT).nullable === true)
assert(cast(Decimal(10.03), DecimalType.SYSTEM_DEFAULT).nullable === true)
assert(cast(Decimal(10.03), DecimalType.SYSTEM_DEFAULT).nullable === false)

assert(cast(123, DecimalType(2, 1)).nullable === true)
assert(cast(10.03f, DecimalType(2, 1)).nullable === true)
assert(cast(10.03, DecimalType(2, 1)).nullable === true)
assert(cast(Decimal(10.03), DecimalType(2, 1)).nullable === true)

assert(cast(123, DecimalType.IntDecimal).nullable === false)
assert(cast(10.03f, DecimalType.FloatDecimal).nullable === true)
assert(cast(10.03, DecimalType.DoubleDecimal).nullable === true)
assert(cast(Decimal(10.03), DecimalType(4, 2)).nullable === false)
assert(cast(Decimal(10.03), DecimalType(5, 3)).nullable === false)

assert(cast(Decimal(10.03), DecimalType(3, 1)).nullable === true)
assert(cast(Decimal(10.03), DecimalType(4, 1)).nullable === false)
assert(cast(Decimal(9.95), DecimalType(2, 1)).nullable === true)
assert(cast(Decimal(9.95), DecimalType(3, 1)).nullable === false)

assert(cast(Decimal("1003"), DecimalType(3, -1)).nullable === true)
assert(cast(Decimal("1003"), DecimalType(4, -1)).nullable === false)
assert(cast(Decimal("995"), DecimalType(2, -1)).nullable === true)
assert(cast(Decimal("995"), DecimalType(3, -1)).nullable === false)

assert(cast(true, DecimalType.SYSTEM_DEFAULT).nullable === false)
assert(cast(true, DecimalType(1, 1)).nullable === true)


checkEvaluation(cast(10.03, DecimalType.SYSTEM_DEFAULT), Decimal(10.03))
checkEvaluation(cast(10.03, DecimalType(4, 2)), Decimal(10.03))
Expand Down Expand Up @@ -451,6 +465,20 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {
checkEvaluation(cast(Decimal(-9.95), DecimalType(3, 1)), Decimal(-10.0))
checkEvaluation(cast(Decimal(-9.95), DecimalType(1, 0)), null)

checkEvaluation(cast(Decimal("1003"), DecimalType.SYSTEM_DEFAULT), Decimal(1003))
checkEvaluation(cast(Decimal("1003"), DecimalType(4, 0)), Decimal(1003))
checkEvaluation(cast(Decimal("1003"), DecimalType(3, -1)), Decimal(1000))
checkEvaluation(cast(Decimal("1003"), DecimalType(2, -2)), Decimal(1000))
checkEvaluation(cast(Decimal("1003"), DecimalType(1, -2)), null)
checkEvaluation(cast(Decimal("1003"), DecimalType(2, -1)), null)
checkEvaluation(cast(Decimal("1003"), DecimalType(3, 0)), null)

checkEvaluation(cast(Decimal("995"), DecimalType(3, 0)), Decimal(995))
checkEvaluation(cast(Decimal("995"), DecimalType(3, -1)), Decimal(1000))
checkEvaluation(cast(Decimal("995"), DecimalType(2, -2)), Decimal(1000))
checkEvaluation(cast(Decimal("995"), DecimalType(2, -1)), null)
checkEvaluation(cast(Decimal("995"), DecimalType(1, -2)), null)

checkEvaluation(cast(Double.NaN, DecimalType.SYSTEM_DEFAULT), null)
checkEvaluation(cast(1.0 / 0.0, DecimalType.SYSTEM_DEFAULT), null)
checkEvaluation(cast(Float.NaN, DecimalType.SYSTEM_DEFAULT), null)
Expand All @@ -460,6 +488,9 @@ class CastSuite extends SparkFunSuite with ExpressionEvalHelper {
checkEvaluation(cast(1.0 / 0.0, DecimalType(2, 1)), null)
checkEvaluation(cast(Float.NaN, DecimalType(2, 1)), null)
checkEvaluation(cast(1.0f / 0.0f, DecimalType(2, 1)), null)

checkEvaluation(cast(true, DecimalType(2, 1)), Decimal(1))
checkEvaluation(cast(true, DecimalType(1, 1)), null)
}

test("cast from date") {
Expand Down
2 changes: 2 additions & 0 deletions sql/core/src/test/resources/sql-tests/inputs/typeCoercion/native/concat.sql
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Expand Up @@ -148,6 +148,8 @@ SELECT
(tinyint_array1 || smallint_array2) ts_array,
(smallint_array1 || int_array2) si_array,
(int_array1 || bigint_array2) ib_array,
(bigint_array1 || decimal_array2) bd_array,
(decimal_array1 || double_array2) dd_array,
(double_array1 || float_array2) df_array,
(string_array1 || data_array2) std_array,
(timestamp_array1 || string_array2) tst_array,
Expand Down
12 changes: 12 additions & 0 deletions sql/core/src/test/resources/sql-tests/inputs/typeCoercion/native/mapZipWith.sql
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Expand Up @@ -47,6 +47,18 @@ FROM various_maps;
SELECT map_zip_with(decimal_map1, decimal_map2, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

SELECT map_zip_with(decimal_map1, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

SELECT map_zip_with(decimal_map1, double_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

SELECT map_zip_with(decimal_map2, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

SELECT map_zip_with(decimal_map2, double_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

SELECT map_zip_with(string_map1, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps;

Expand Down
1 change: 1 addition & 0 deletions sql/core/src/test/resources/sql-tests/inputs/typeCoercion/native/mapconcat.sql
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Expand Up @@ -61,6 +61,7 @@ SELECT
map_concat(tinyint_map1, smallint_map2) ts_map,
map_concat(smallint_map1, int_map2) si_map,
map_concat(int_map1, bigint_map2) ib_map,
map_concat(bigint_map1, decimal_map2) bd_map,
map_concat(decimal_map1, float_map2) df_map,
map_concat(string_map1, date_map2) std_map,
map_concat(timestamp_map1, string_map2) tst_map,
Expand Down
6 changes: 4 additions & 2 deletions sql/core/src/test/resources/sql-tests/results/typeCoercion/native/concat.sql.out
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Expand Up @@ -306,12 +306,14 @@ SELECT
(tinyint_array1 || smallint_array2) ts_array,
(smallint_array1 || int_array2) si_array,
(int_array1 || bigint_array2) ib_array,
(bigint_array1 || decimal_array2) bd_array,
(decimal_array1 || double_array2) dd_array,
(double_array1 || float_array2) df_array,
(string_array1 || data_array2) std_array,
(timestamp_array1 || string_array2) tst_array,
(string_array1 || int_array2) sti_array
FROM various_arrays
-- !query 13 schema
struct<ts_array:array<smallint>,si_array:array<int>,ib_array:array<bigint>,df_array:array<double>,std_array:array<string>,tst_array:array<string>,sti_array:array<string>>
struct<ts_array:array<smallint>,si_array:array<int>,ib_array:array<bigint>,bd_array:array<decimal(20,0)>,dd_array:array<double>,df_array:array<double>,std_array:array<string>,tst_array:array<string>,sti_array:array<string>>
-- !query 13 output
[2,1,3,4] [2,1,3,4] [2,1,3,4] [2.0,1.0,3.0,4.0] ["a","b","2016-03-12","2016-03-11"] ["2016-11-15 20:54:00","2016-11-12 20:54:00","c","d"] ["a","b","3","4"]
[2,1,3,4] [2,1,3,4] [2,1,3,4] [2,1,9223372036854775808,9223372036854775809] [9.223372036854776E18,9.223372036854776E18,3.0,4.0] [2.0,1.0,3.0,4.0] ["a","b","2016-03-12","2016-03-11"] ["2016-11-15 20:54:00","2016-11-12 20:54:00","c","d"] ["a","b","3","4"]
73 changes: 55 additions & 18 deletions sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapZipWith.sql.out
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@@ -1,5 +1,5 @@
-- Automatically generated by SQLQueryTestSuite
-- Number of queries: 12
-- Number of queries: 16


-- !query 0
Expand Down Expand Up @@ -89,54 +89,91 @@ cannot resolve 'map_zip_with(various_maps.`decimal_map1`, various_maps.`decimal_


-- !query 6
SELECT map_zip_with(string_map1, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(decimal_map1, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 6 schema
struct<m:map<string,struct<k:string,v1:string,v2:int>>>
struct<m:map<decimal(36,0),struct<k:decimal(36,0),v1:decimal(36,0),v2:int>>>
-- !query 6 output
{"2":{"k":"2","v1":"1","v2":1},"true":{"k":"true","v1":"false","v2":null}}
{2:{"k":2,"v1":null,"v2":1},922337203685477897945456575809789456:{"k":922337203685477897945456575809789456,"v1":922337203685477897945456575809789456,"v2":null}}


-- !query 7
SELECT map_zip_with(string_map2, date_map, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(decimal_map1, double_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 7 schema
struct<m:map<string,struct<k:string,v1:string,v2:date>>>
struct<m:map<double,struct<k:double,v1:decimal(36,0),v2:double>>>
-- !query 7 output
{"2016-03-14":{"k":"2016-03-14","v1":"2016-03-13","v2":2016-03-13}}
{2.0:{"k":2.0,"v1":null,"v2":1.0},9.223372036854779E35:{"k":9.223372036854779E35,"v1":922337203685477897945456575809789456,"v2":null}}


-- !query 8
SELECT map_zip_with(timestamp_map, string_map3, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(decimal_map2, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 8 schema
struct<m:map<string,struct<k:string,v1:timestamp,v2:string>>>
struct<>
-- !query 8 output
{"2016-11-15 20:54:00":{"k":"2016-11-15 20:54:00","v1":2016-11-12 20:54:00.0,"v2":null},"2016-11-15 20:54:00.000":{"k":"2016-11-15 20:54:00.000","v1":null,"v2":"2016-11-12 20:54:00.000"}}
org.apache.spark.sql.AnalysisException
cannot resolve 'map_zip_with(various_maps.`decimal_map2`, various_maps.`int_map`, lambdafunction(named_struct(NamePlaceholder(), `k`, NamePlaceholder(), `v1`, NamePlaceholder(), `v2`), `k`, `v1`, `v2`))' due to argument data type mismatch: The input to function map_zip_with should have been two maps with compatible key types, but the key types are [decimal(36,35), int].; line 1 pos 7


-- !query 9
SELECT map_zip_with(decimal_map1, string_map4, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(decimal_map2, double_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 9 schema
struct<m:map<string,struct<k:string,v1:decimal(36,0),v2:string>>>
struct<m:map<double,struct<k:double,v1:decimal(36,35),v2:double>>>
-- !query 9 output
{"922337203685477897945456575809789456":{"k":"922337203685477897945456575809789456","v1":922337203685477897945456575809789456,"v2":"text"}}
{2.0:{"k":2.0,"v1":null,"v2":1.0},9.223372036854778:{"k":9.223372036854778,"v1":9.22337203685477897945456575809789456,"v2":null}}


-- !query 10
SELECT map_zip_with(array_map1, array_map2, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(string_map1, int_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 10 schema
struct<m:map<array<bigint>,struct<k:array<bigint>,v1:array<bigint>,v2:array<int>>>>
struct<m:map<string,struct<k:string,v1:string,v2:int>>>
-- !query 10 output
{[1,2]:{"k":[1,2],"v1":[1,2],"v2":[1,2]}}
{"2":{"k":"2","v1":"1","v2":1},"true":{"k":"true","v1":"false","v2":null}}


-- !query 11
SELECT map_zip_with(struct_map1, struct_map2, (k, v1, v2) -> struct(k, v1, v2)) m
SELECT map_zip_with(string_map2, date_map, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 11 schema
struct<m:map<struct<col1:int,col2:bigint>,struct<k:struct<col1:int,col2:bigint>,v1:struct<col1:smallint,col2:bigint>,v2:struct<col1:int,col2:int>>>>
struct<m:map<string,struct<k:string,v1:string,v2:date>>>
-- !query 11 output
{"2016-03-14":{"k":"2016-03-14","v1":"2016-03-13","v2":2016-03-13}}


-- !query 12
SELECT map_zip_with(timestamp_map, string_map3, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 12 schema
struct<m:map<string,struct<k:string,v1:timestamp,v2:string>>>
-- !query 12 output
{"2016-11-15 20:54:00":{"k":"2016-11-15 20:54:00","v1":2016-11-12 20:54:00.0,"v2":null},"2016-11-15 20:54:00.000":{"k":"2016-11-15 20:54:00.000","v1":null,"v2":"2016-11-12 20:54:00.000"}}


-- !query 13
SELECT map_zip_with(decimal_map1, string_map4, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 13 schema
struct<m:map<string,struct<k:string,v1:decimal(36,0),v2:string>>>
-- !query 13 output
{"922337203685477897945456575809789456":{"k":"922337203685477897945456575809789456","v1":922337203685477897945456575809789456,"v2":"text"}}


-- !query 14
SELECT map_zip_with(array_map1, array_map2, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 14 schema
struct<m:map<array<bigint>,struct<k:array<bigint>,v1:array<bigint>,v2:array<int>>>>
-- !query 14 output
{[1,2]:{"k":[1,2],"v1":[1,2],"v2":[1,2]}}


-- !query 15
SELECT map_zip_with(struct_map1, struct_map2, (k, v1, v2) -> struct(k, v1, v2)) m
FROM various_maps
-- !query 15 schema
struct<m:map<struct<col1:int,col2:bigint>,struct<k:struct<col1:int,col2:bigint>,v1:struct<col1:smallint,col2:bigint>,v2:struct<col1:int,col2:int>>>>
-- !query 15 output
{{"col1":1,"col2":2}:{"k":{"col1":1,"col2":2},"v1":{"col1":1,"col2":2},"v2":{"col1":1,"col2":2}}}
5 changes: 3 additions & 2 deletions sql/core/src/test/resources/sql-tests/results/typeCoercion/native/mapconcat.sql.out
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Expand Up @@ -76,16 +76,17 @@ SELECT
map_concat(tinyint_map1, smallint_map2) ts_map,
map_concat(smallint_map1, int_map2) si_map,
map_concat(int_map1, bigint_map2) ib_map,
map_concat(bigint_map1, decimal_map2) bd_map,
map_concat(decimal_map1, float_map2) df_map,
map_concat(string_map1, date_map2) std_map,
map_concat(timestamp_map1, string_map2) tst_map,
map_concat(string_map1, int_map2) sti_map,
map_concat(int_string_map1, tinyint_map2) istt_map
FROM various_maps
-- !query 2 schema
struct<ts_map:map<smallint,smallint>,si_map:map<int,int>,ib_map:map<bigint,bigint>,df_map:map<double,double>,std_map:map<string,string>,tst_map:map<string,string>,sti_map:map<string,string>,istt_map:map<int,string>>
struct<ts_map:map<smallint,smallint>,si_map:map<int,int>,ib_map:map<bigint,bigint>,bd_map:map<decimal(20,0),decimal(20,0)>,df_map:map<double,double>,std_map:map<string,string>,tst_map:map<string,string>,sti_map:map<string,string>,istt_map:map<int,string>>
-- !query 2 output
{1:2,3:4} {1:2,7:8} {4:6,8:9} {3.0:4.0,9.223372036854776E18:9.223372036854776E18} {"2016-03-12":"2016-03-11","a":"b"} {"2016-11-15 20:54:00":"2016-11-12 20:54:00","c":"d"} {"7":"8","a":"b"} {1:"a",3:"4"}
{1:2,3:4} {1:2,7:8} {4:6,8:9} {6:7,9223372036854775808:9223372036854775809} {3.0:4.0,9.223372036854776E18:9.223372036854776E18} {"2016-03-12":"2016-03-11","a":"b"} {"2016-11-15 20:54:00":"2016-11-12 20:54:00","c":"d"} {"7":"8","a":"b"} {1:"a",3:"4"}


-- !query 3
Expand Down