This feature is available in Delta Lake 1.2.0 and above. This feature is currently experimental with known limitations.
Column mapping feature allows Delta table columns and the underlying Parquet file columns to use different names. This enables Delta schema evolution operations such as
RENAME COLUMN and
DROP COLUMNS on a Delta table without the need to rewrite the underlying Parquet files. It also allows users to name Delta table columns by using characters that are not allowed by Parquet, such as spaces, so that users can directly ingest CSV or JSON data into Delta without the need to rename columns due to previous character constraints.
Enabling column mapping for a table upgrades the Delta table version. This protocol upgrade is irreversible. Tables with column mapping enabled can only be read in Delta Lake 1.2 and above.
Column mapping requires the following Delta protocols:
Reader version 2 or above.
Writer version 5 or above.
For a Delta table with the required protocol versions, you can enable column mapping by setting
You can use the following command to upgrade the table version and enable column mapping:
ALTER TABLE <table_name> SET TBLPROPERTIES (
'delta.minReaderVersion' = '2',
'delta.minWriterVersion' = '5',
'delta.columnMapping.mode' = 'name'
You cannot turn off column mapping after you enable it. If you try to set
'delta.columnMapping.mode' = 'none', you’ll get an error.
When column mapping is enabled for a Delta table, you can rename a column:
ALTER TABLE <table_name> RENAME COLUMN old_col_name TO new_col_name
For more examples, see Rename columns.
When column mapping is enabled for a Delta table, you can drop one or more columns:
ALTER TABLE table_name DROP COLUMN col_name
ALTER TABLE table_name DROP COLUMNS (col_name_1, col_name_2, ...)
For more details, see Drop columns.
When column mapping is enabled for a Delta table, you can include spaces as well as any of these characters in the table’s column names:
Enabling column mapping on tables might break downstream operations that rely on Delta change data feed. See Change data feed limitations for tables with column mapping enabled.
In Delta Lake 2.1 and below, Spark Structured Streaming reads are explicitly blocked on a column mapping enabled table.
In Delta Lake 2.2 and above, Spark Structured Streaming reads are explicitly blocked on a column mapping enabled table that underwent column renaming or column dropping.
In Delta Lake 3.0 and above, Spark Structured Streaming reads require schema tracking to be enabled on a column mapping enabled table that underwent column renaming or column dropping. See Tracking non-additive schema changes
The Delta table protocol specifies two modes of column mapping, by
id. Delta Lake 2.1 and below do not support