singleCol

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ myColumnGroup.singleCol() }

Throws

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ "myColumnGroup".colsNameStartsWith("year").singleCol() }

Throws

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ "pathTo"["myColumnGroup"].singleCol{ it.name().startsWith("year") } }

Throws

this.allCols().filter(condition).single()

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ myColumnGroup.singleCol() }

Throws

this.allCols().filter(condition).single()

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ "myColumnGroup".singleCol{ it.name().startsWith("year") } }

Throws

Single (Col)

Returns the single column from this. If there is no column, NoSuchElementException is thrown. If there are multiple columns, IllegalArgumentException is thrown.

This function operates solely on columns at the top-level.

NOTE: For column groups, single is named singleCol instead to avoid confusion.

For more information: See First (Col), Last (Col), Single (Col) on the documentation website.

Check out: Grammar

Examples:

df.select{ nameStartsWith("order").single() }

df.select{ "myColumnGroup".colsNameStartsWith("order").singleCol() }

Examples for this overload:

df.select{ Type::myColumnGroup.singleCol{ it.name().startsWith("year") } }

df.select{ DataSchemaType::myColumnGroup.singleCol() }

Throws