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Apache Spark commented on SPARK-25672: -------------------------------------- User 'MaxGekk' has created a pull request for this issue: https://github.com/apache/spark/pull/22666 > 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 > Priority: Minor > > 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} -- 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