Maxim Gekk created SPARK-24709:
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Summary: 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
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}
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