Description
In the current master, to_json/from_json can handle timestamp type like as follows.
SELECT to_json(map("a", TIMESTAMP"2021-11-23 11:22:33")); {"a":"2021-11-23T11:22:33.000+09:00"}
SELECT from_json('{"a":"2021-11-23 11:22:33"}', "a TIMESTAMP"); {"a":2021-11-23 11:22:33}
But they cannot handle timestamp_ntz type properly.
SELECT to_json(map("a", TIMESTAMP_NTZ"2021-11-23 11:22:33")); 21/08/12 16:14:07 ERROR SparkSQLDriver: Failed in [SELECT to_json(map("a", TIMESTAMP_NTZ"2021-11-23 11:22:33"))] java.lang.RuntimeException: Failed to convert value 1637666553000000 (class of class java.lang.Long) with the type of TimestampNTZType to JSON. at org.apache.spark.sql.errors.QueryExecutionErrors$.failToConvertValueToJsonError(QueryExecutionErrors.scala:294) at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$makeWriter$25(JacksonGenerator.scala:201) at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$makeWriter$25$adapted(JacksonGenerator.scala:199) at org.apache.spark.sql.catalyst.json.JacksonGenerator.writeMapData(JacksonGenerator.scala:253) at org.apache.spark.sql.catalyst.json.JacksonGenerator.$anonfun$write$3(JacksonGenerator.scala:293) at org.apache.spark.sql.catalyst.json.JacksonGenerator.writeObject(JacksonGenerator.scala:206) at org.apache.spark.sql.catalyst.json.JacksonGenerator.write(JacksonGenerator.scala:292)
SELECT from_json('{"a":"2021-11-23 11:22:33"}', "a TIMESTAMP_NTZ"); 21/08/12 16:16:00 ERROR SparkSQLDriver: Failed in [SELECT from_json('{"a":"2021-11-23 11:22:33"}', "a TIMESTAMP_NTZ")] java.lang.Exception: Unsupported type: timestamp_ntz at org.apache.spark.sql.errors.QueryExecutionErrors$.unsupportedTypeError(QueryExecutionErrors.scala:777) at org.apache.spark.sql.catalyst.json.JacksonParser.makeConverter(JacksonParser.scala:339) at org.apache.spark.sql.catalyst.json.JacksonParser.$anonfun$makeConverter$17(JacksonParser.scala:313)