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Caution
You're viewing documentation for an unstable version of ScyllaDB Open Source. Switch to the latest stable version.
Multiple INSERT
, UPDATE
and DELETE
can be executed in a single statement by grouping them through a
BATCH
statement:
batch_statement: BEGIN [ UNLOGGED | COUNTER ] BATCH
: [ USING `update_parameter` ( AND `update_parameter` )* ]
: `modification_statement` ( ';' `modification_statement` )*
: APPLY BATCH
modification_statement: `insert_statement` | `update_statement` | `delete_statement`
For instance:
BEGIN BATCH
INSERT INTO users (userid, password, name) VALUES ('user2', 'ch@ngem3b', 'second user');
UPDATE users SET password = 'ps22dhds' WHERE userid = 'user3';
INSERT INTO users (userid, password) VALUES ('user4', 'ch@ngem3c');
DELETE name FROM users WHERE userid = 'user1';
APPLY BATCH;
The BATCH
statement group multiple modification statements (insertions/updates and deletions) into a single
statement. It serves several purposes:
It saves network round-trips between the client and the server (and sometimes between the server coordinator and the replicas) when batching multiple updates.
All updates in a BATCH
belonging to a given partition key are performed atomically.
By default, all operations in the batch are performed as logged, to ensure all mutations eventually complete (or none will). See the notes on UNLOGGED batches for more details.
Note that:
BATCH
statements may only contain UPDATE
, INSERT
and DELETE
statements (not other batches, for instance).
Batches are not a full analogue for SQL transactions.
If a timestamp is not specified for each operation, then all operations will be applied with the same timestamp
(either one generated automatically, or the timestamp provided at the batch level). Due to ScyllaDB’s conflict
resolution procedure in the case of timestamp ties, operations may be applied in an order that is different from the order they are listed in the BATCH
statement. To force a
particular operation ordering, you must specify per-operation timestamps.
A LOGGED batch to a single partition will be converted to an UNLOGGED batch as an optimization.
BATCH
supports the TIMESTAMP
option with the same semantics as the TIMESTAMP parameter in UPDATE
statement.
For more information on the update_parameter
refer to the UPDATE section.
UNLOGGED
batches¶By default, ScyllaDB uses a batch log to ensure all operations in a batch eventually complete or none will (note, however, that operations are only isolated within a single partition).
There is a performance penalty for batch atomicity when a batch spans multiple partitions. If you do not want to incur
this penalty, you can tell ScyllaDB to skip the batchlog with the UNLOGGED
option. If the UNLOGGED
option is
used, a failed batch might leave the batch only partly applied.
COUNTER
batches¶Use the COUNTER
option for batched counter updates. Unlike other
updates in ScyllaDB, counter updates are not idempotent.
Apache Cassandra Query Language (CQL) Reference
Copyright
© 2016, The Apache Software Foundation.
Apache®, Apache Cassandra®, Cassandra®, the Apache feather logo and the Apache Cassandra® Eye logo are either registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. No endorsement by The Apache Software Foundation is implied by the use of these marks.
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