diff options
Diffstat (limited to 'sql/core/src')
3 files changed, 154 insertions, 2 deletions
diff --git a/sql/core/src/test/resources/sql-tests/inputs/json-functions.sql b/sql/core/src/test/resources/sql-tests/inputs/json-functions.sql index 9308560451..83243c5e5a 100644 --- a/sql/core/src/test/resources/sql-tests/inputs/json-functions.sql +++ b/sql/core/src/test/resources/sql-tests/inputs/json-functions.sql @@ -5,4 +5,17 @@ select to_json(named_struct('a', 1, 'b', 2)); select to_json(named_struct('time', to_timestamp('2015-08-26', 'yyyy-MM-dd')), map('timestampFormat', 'dd/MM/yyyy')); -- Check if errors handled select to_json(named_struct('a', 1, 'b', 2), named_struct('mode', 'PERMISSIVE')); +select to_json(named_struct('a', 1, 'b', 2), map('mode', 1)); select to_json(); + +-- from_json +describe function from_json; +describe function extended from_json; +select from_json('{"a":1}', 'a INT'); +select from_json('{"time":"26/08/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy')); +-- Check if errors handled +select from_json('{"a":1}', 1); +select from_json('{"a":1}', 'a InvalidType'); +select from_json('{"a":1}', 'a INT', named_struct('mode', 'PERMISSIVE')); +select from_json('{"a":1}', 'a INT', map('mode', 1)); +select from_json(); diff --git a/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out b/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out index d8aa4fb9fa..b57cbbc1d8 100644 --- a/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out +++ b/sql/core/src/test/resources/sql-tests/results/json-functions.sql.out @@ -1,5 +1,5 @@ -- Automatically generated by SQLQueryTestSuite --- Number of queries: 6 +-- Number of queries: 16 -- !query 0 @@ -55,9 +55,112 @@ Must use a map() function for options;; line 1 pos 7 -- !query 5 -select to_json() +select to_json(named_struct('a', 1, 'b', 2), map('mode', 1)) -- !query 5 schema struct<> -- !query 5 output org.apache.spark.sql.AnalysisException +A type of keys and values in map() must be string, but got MapType(StringType,IntegerType,false);; line 1 pos 7 + + +-- !query 6 +select to_json() +-- !query 6 schema +struct<> +-- !query 6 output +org.apache.spark.sql.AnalysisException Invalid number of arguments for function to_json; line 1 pos 7 + + +-- !query 7 +describe function from_json +-- !query 7 schema +struct<function_desc:string> +-- !query 7 output +Class: org.apache.spark.sql.catalyst.expressions.JsonToStruct +Function: from_json +Usage: from_json(jsonStr, schema[, options]) - Returns a struct value with the given `jsonStr` and `schema`. + + +-- !query 8 +describe function extended from_json +-- !query 8 schema +struct<function_desc:string> +-- !query 8 output +Class: org.apache.spark.sql.catalyst.expressions.JsonToStruct +Extended Usage: + Examples: + > SELECT from_json('{"a":1, "b":0.8}', 'a INT, b DOUBLE'); + {"a":1, "b":0.8} + > SELECT from_json('{"time":"26/08/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy')); + {"time":"2015-08-26 00:00:00.0"} + +Function: from_json +Usage: from_json(jsonStr, schema[, options]) - Returns a struct value with the given `jsonStr` and `schema`. + + +-- !query 9 +select from_json('{"a":1}', 'a INT') +-- !query 9 schema +struct<jsontostruct({"a":1}):struct<a:int>> +-- !query 9 output +{"a":1} + + +-- !query 10 +select from_json('{"time":"26/08/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy')) +-- !query 10 schema +struct<jsontostruct({"time":"26/08/2015"}):struct<time:timestamp>> +-- !query 10 output +{"time":2015-08-26 00:00:00.0} + + +-- !query 11 +select from_json('{"a":1}', 1) +-- !query 11 schema +struct<> +-- !query 11 output +org.apache.spark.sql.AnalysisException +Expected a string literal instead of 1;; line 1 pos 7 + + +-- !query 12 +select from_json('{"a":1}', 'a InvalidType') +-- !query 12 schema +struct<> +-- !query 12 output +org.apache.spark.sql.AnalysisException + +DataType invalidtype() is not supported.(line 1, pos 2) + +== SQL == +a InvalidType +--^^^ +; line 1 pos 7 + + +-- !query 13 +select from_json('{"a":1}', 'a INT', named_struct('mode', 'PERMISSIVE')) +-- !query 13 schema +struct<> +-- !query 13 output +org.apache.spark.sql.AnalysisException +Must use a map() function for options;; line 1 pos 7 + + +-- !query 14 +select from_json('{"a":1}', 'a INT', map('mode', 1)) +-- !query 14 schema +struct<> +-- !query 14 output +org.apache.spark.sql.AnalysisException +A type of keys and values in map() must be string, but got MapType(StringType,IntegerType,false);; line 1 pos 7 + + +-- !query 15 +select from_json() +-- !query 15 schema +struct<> +-- !query 15 output +org.apache.spark.sql.AnalysisException +Invalid number of arguments for function from_json; line 1 pos 7 diff --git a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala index cdea3b9a0f..2345b82081 100644 --- a/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala +++ b/sql/core/src/test/scala/org/apache/spark/sql/JsonFunctionsSuite.scala @@ -220,4 +220,40 @@ class JsonFunctionsSuite extends QueryTest with SharedSQLContext { assert(errMsg2.getMessage.startsWith( "A type of keys and values in map() must be string, but got")) } + + test("SPARK-19967 Support from_json in SQL") { + val df1 = Seq("""{"a": 1}""").toDS() + checkAnswer( + df1.selectExpr("from_json(value, 'a INT')"), + Row(Row(1)) :: Nil) + + val df2 = Seq("""{"c0": "a", "c1": 1, "c2": {"c20": 3.8, "c21": 8}}""").toDS() + checkAnswer( + df2.selectExpr("from_json(value, 'c0 STRING, c1 INT, c2 STRUCT<c20: DOUBLE, c21: INT>')"), + Row(Row("a", 1, Row(3.8, 8))) :: Nil) + + val df3 = Seq("""{"time": "26/08/2015 18:00"}""").toDS() + checkAnswer( + df3.selectExpr( + "from_json(value, 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy HH:mm'))"), + Row(Row(java.sql.Timestamp.valueOf("2015-08-26 18:00:00.0")))) + + val errMsg1 = intercept[AnalysisException] { + df3.selectExpr("from_json(value, 1)") + } + assert(errMsg1.getMessage.startsWith("Expected a string literal instead of")) + val errMsg2 = intercept[AnalysisException] { + df3.selectExpr("""from_json(value, 'time InvalidType')""") + } + assert(errMsg2.getMessage.contains("DataType invalidtype() is not supported")) + val errMsg3 = intercept[AnalysisException] { + df3.selectExpr("from_json(value, 'time Timestamp', named_struct('a', 1))") + } + assert(errMsg3.getMessage.startsWith("Must use a map() function for options")) + val errMsg4 = intercept[AnalysisException] { + df3.selectExpr("from_json(value, 'time Timestamp', map('a', 1))") + } + assert(errMsg4.getMessage.startsWith( + "A type of keys and values in map() must be string, but got")) + } } |