-- Automatically generated by SQLQueryTestSuite -- Number of queries: 17 -- !query 0 describe function to_json -- !query 0 schema struct -- !query 0 output Class: org.apache.spark.sql.catalyst.expressions.StructsToJson Function: to_json Usage: to_json(expr[, options]) - Returns a json string with a given struct value -- !query 1 describe function extended to_json -- !query 1 schema struct -- !query 1 output Class: org.apache.spark.sql.catalyst.expressions.StructsToJson Extended Usage: Examples: > SELECT to_json(named_struct('a', 1, 'b', 2)); {"a":1,"b":2} > SELECT to_json(named_struct('time', to_timestamp('2015-08-26', 'yyyy-MM-dd')), map('timestampFormat', 'dd/MM/yyyy')); {"time":"26/08/2015"} > SELECT to_json(array(named_struct('a', 1, 'b', 2)); [{"a":1,"b":2}] Function: to_json Usage: to_json(expr[, options]) - Returns a json string with a given struct value -- !query 2 select to_json(named_struct('a', 1, 'b', 2)) -- !query 2 schema struct -- !query 2 output {"a":1,"b":2} -- !query 3 select to_json(named_struct('time', to_timestamp('2015-08-26', 'yyyy-MM-dd')), map('timestampFormat', 'dd/MM/yyyy')) -- !query 3 schema struct -- !query 3 output {"time":"26/08/2015"} -- !query 4 select to_json(array(named_struct('a', 1, 'b', 2))) -- !query 4 schema struct -- !query 4 output [{"a":1,"b":2}] -- !query 5 select to_json(named_struct('a', 1, 'b', 2), named_struct('mode', 'PERMISSIVE')) -- !query 5 schema struct<> -- !query 5 output org.apache.spark.sql.AnalysisException Must use a map() function for options;; line 1 pos 7 -- !query 6 select to_json(named_struct('a', 1, 'b', 2), map('mode', 1)) -- !query 6 schema struct<> -- !query 6 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 7 select to_json() -- !query 7 schema struct<> -- !query 7 output org.apache.spark.sql.AnalysisException Invalid number of arguments for function to_json; line 1 pos 7 -- !query 8 describe function from_json -- !query 8 schema struct -- !query 8 output Class: org.apache.spark.sql.catalyst.expressions.JsonToStructs Function: from_json Usage: from_json(jsonStr, schema[, options]) - Returns a struct value with the given `jsonStr` and `schema`. -- !query 9 describe function extended from_json -- !query 9 schema struct -- !query 9 output Class: org.apache.spark.sql.catalyst.expressions.JsonToStructs 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 10 select from_json('{"a":1}', 'a INT') -- !query 10 schema struct> -- !query 10 output {"a":1} -- !query 11 select from_json('{"time":"26/08/2015"}', 'time Timestamp', map('timestampFormat', 'dd/MM/yyyy')) -- !query 11 schema struct> -- !query 11 output {"time":2015-08-26 00:00:00.0} -- !query 12 select from_json('{"a":1}', 1) -- !query 12 schema struct<> -- !query 12 output org.apache.spark.sql.AnalysisException Expected a string literal instead of 1;; line 1 pos 7 -- !query 13 select from_json('{"a":1}', 'a InvalidType') -- !query 13 schema struct<> -- !query 13 output org.apache.spark.sql.AnalysisException DataType invalidtype() is not supported.(line 1, pos 2) == SQL == a InvalidType --^^^ ; line 1 pos 7 -- !query 14 select from_json('{"a":1}', 'a INT', named_struct('mode', 'PERMISSIVE')) -- !query 14 schema struct<> -- !query 14 output org.apache.spark.sql.AnalysisException Must use a map() function for options;; line 1 pos 7 -- !query 15 select from_json('{"a":1}', 'a INT', map('mode', 1)) -- !query 15 schema struct<> -- !query 15 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 16 select from_json() -- !query 16 schema struct<> -- !query 16 output org.apache.spark.sql.AnalysisException Invalid number of arguments for function from_json; line 1 pos 7