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Apache Spark commented on SPARK-24709: -------------------------------------- User 'cloud-fan' has created a pull request for this issue: https://github.com/apache/spark/pull/22858 > Inferring schema from JSON string literal > ----------------------------------------- > > Key: SPARK-24709 > URL: https://issues.apache.org/jira/browse/SPARK-24709 > Project: Spark > Issue Type: Improvement > Components: SQL > Affects Versions: 2.3.1 > Reporter: Maxim Gekk > Assignee: Maxim Gekk > Priority: Minor > Fix For: 2.4.0 > > > Need to add new function - *schema_of_json()*. The function should infer > schema of JSON string literal. The result of the function is a schema in DDL > format. > One of the use cases is passing output of _schema_of_json()_ to > *from_json()*. Currently, the _from_json()_ function requires a schema as a > mandatory argument. An user has to pass a schema as string literal in SQL. > The new function should allow schema inferring from an example. Let's say > json_col is a column containing JSON string with the same schema. It should > be possible to pass a JSON string with the same schema to _schema_of_json()_ > which infers schema for the particular example. > {code:sql} > select from_json(json_col, schema_of_json('{"f1": 0, "f2": [0], "f2": "a"}')) > from json_table; > {code} -- This message was sent by Atlassian JIRA (v7.6.3#76005) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org