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Posted to issues@spark.apache.org by "Maxim Gekk (JIRA)" <ji...@apache.org> on 2018/10/07 20:02:00 UTC
[jira] [Created] (SPARK-25672) Inferring schema from CSV string
literal
Maxim Gekk created SPARK-25672:
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Summary: Inferring schema from CSV string literal
Key: SPARK-25672
URL: https://issues.apache.org/jira/browse/SPARK-25672
Project: Spark
Issue Type: Improvement
Components: SQL
Affects Versions: 2.4.0
Reporter: Maxim Gekk
Need to add new function - *schema_of_csv()*. The function should infer schema of CSV string literal. The result of the function is a schema in DDL format.
One of the use cases is passing output of _schema_of_csv()_ to *from_csv()* (see SPARK-25393). The new function should allow schema inferring from an example. Let's say csv_col is a column containing CSV string with the same schema. It should be possible to pass a CSV string with the same schema to _schema_of_csv()_ which infers schema for the particular example.
{code:sql}
select from_csv(csv_col, schema_of_csv('1,a,0.1'))
from csv_table;
{code}
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