Merges a set of updates, insertions, and deletions based on a source table into a target Delta table.
MERGE INTO target_table_identifier [AS target_alias] USING source_table_identifier [<time_travel_version>] [AS source_alias] ON <merge_condition> [ WHEN MATCHED [ AND <condition> ] THEN <matched_action> ] [ WHEN MATCHED [ AND <condition> ] THEN <matched_action> ] [ WHEN NOT MATCHED [ AND <condition> ] THEN <not_matched_action> ]
[database_name.] table_name: A table name, optionally qualified with a database name.
delta.`<path-to-table>`: The location of an existing Delta table.
Define a table alias.
<merge_condition> = How the rows from one relation are combined with the rows of another relation. An expression with a return type of Boolean. <matched_action> = DELETE | UPDATE SET * | UPDATE SET column1 = value1 [, column2 = value2 ...] <not_matched_action> = INSERT * | INSERT (column1 [, column2 ...]) VALUES (value1 [, value2 ...]) <time_travel_version> = TIMESTAMP AS OF timestamp_expression | VERSION AS OF version
In Databricks Runtime 7.3 LTS and above:
- There can be any number of
WHEN NOT MATCHEDclauses.
- Multiple matches are allowed when matches are unconditionally deleted (since unconditional delete is not ambiguous even if there are multiple matches).
- There can be any number of
In Databricks Runtime 7.2 and below
MERGEcan have at most two
WHEN MATCHEDclauses and at most one
WHEN NOT MATCHEDclause.
WHEN MATCHEDclauses are executed when a source row matches a target table row based on the match condition. These clauses have the following semantics.
WHEN MATCHEDclauses can have at most one
mergeonly updates the specified columns of the matched target row. The
DELETEaction will delete the matched row.
WHEN MATCHEDclause can have an optional condition. If this clause condition exists, the
DELETEaction is executed for any matching source-target row pair row only when when the clause condition is true.
- If there are multiple
WHEN MATCHEDclauses, then they are evaluated in order they are specified (that is, the order of the clauses matter). All
WHEN MATCHEDclauses, except the last one, must have conditions.
- If both
WHEN MATCHEDclauses have conditions and neither of the conditions are true for a matching source-target row pair, then the matched target row is left unchanged.
- To update all the columns of the target Delta table with the corresponding columns of the source dataset, use
UPDATE SET *. This is equivalent to
UPDATE SET col1 = source.col1 [, col2 = source.col2 ...]for all the columns of the target Delta table. Therefore, this action assumes that the source table has the same columns as those in the target table, otherwise the query will throw an analysis error.
- This behavior changes when automatic schema migration is enabled. See Automatic schema evolution for details.
WHEN NOT MATCHEDclauses are executed when a source row does not match any target row based on the match condition. These clauses have the following semantics.
WHEN NOT MATCHEDclauses can only have the
INSERTaction. The new row is generated based on the specified column and corresponding expressions. All the columns in the target table do not need to be specified. For unspecified target columns,
WHEN NOT MATCHEDclause can have an optional condition. If the clause condition is present, a source row is inserted only if that condition is true for that row. Otherwise, the source column is ignored.
If there are multiple
WHEN NOT MATCHEDclauses, then they are evaluated in order they are specified (that is, the order of the clauses matter). All
WHEN NOT MATCHEDclauses, except the last one, must have conditions.
To insert all the columns of the target Delta table with the corresponding columns of the source dataset, use
INSERT *. This is equivalent to
INSERT (col1 [, col2 ...]) VALUES (source.col1 [, source.col2 ...])for all the columns of the target Delta table. Therefore, this action assumes that the source table has the same columns as those in the target table, otherwise the query will throw an analysis error.
MERGE operation can fail if multiple rows of the source dataset match and attempt to update the same rows of the target Delta table. According to the SQL semantics of merge, such an update operation is ambiguous as it is unclear which source row should be used to update the matched target row. You can preprocess the source table to eliminate the possibility of multiple matches. See the Change data capture example—it preprocesses the change dataset (that is, the source dataset) to retain only the latest change for each key before applying that change into the target Delta table.
You can use
MERGE INTO for complex operations like deduplicating data, upserting change data, applying SCD Type 2 operations, etc. See Merge examples for a few examples.