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URL: https://docs.databricks.com/aws/en/sql/language-manual/functions/inline_outer

⇱ inline_outer table-valued generator function | Databricks on AWS


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Applies to: 👁 check marked yes
Databricks SQL 👁 check marked yes
Databricks Runtime

Explodes an array of structs into a table with OUTER semantics.

In in Databricks SQL and Databricks Runtime 16.1 and above this function supports named parameter invocation.

Syntax

inline_outer(input)

Arguments

  • input: An ARRAY < STRUCT > expression.

A set of rows composed of the fields in the struct elements of the array input. The columns produced by inline are the names of the fields.

If input is NULL a single row with NULLs for each column is produced.

Examples

Applies to: 👁 check marked yes
Databricks Runtime 12.1 and earlier:

SQL
>SELECT inline_outer(array(struct(1,'a'), struct(2,'b'))),'Spark SQL';
1 a Spark SQL
2 b Spark SQL

>SELECT inline_outer(array(struct(1,'a'), struct(1,'b'))),
inline_outer(array(struct('c',1.0), struct('d',2.0))),
'Spark SQL';
1 a Spark SQL
2 b Spark SQL
Error: UNSUPPORTED_GENERATOR.MULTI_GENERATOR

Applies to: 👁 check marked yes
Databricks SQL 👁 check marked yes
Databricks Runtime 12.2 LTS and above:

SQL
>SELECT i.*,'Spark SQL'
FROM inline_outer(array(struct(1,'a'), struct(2,'b')))AS i;
1 a Spark SQL
2 b Spark SQL

>SELECT i1.*, i2.*,'Spark SQL'
FROM inline_outer(array(struct(1,'a'), struct(1,'b')))AS i1,
inline_outer(array(struct('c',1.0), struct('d',2.0)))AS i2;
1 a c 1.0 Spark SQL
1 b c 1.0 Spark SQL
1 a d 2.0 Spark SQL
1 b d 2.0 Spark SQL