title | summary | keywords | toc |
---|---|---|---|
SELECT FOR UPDATE |
The SELECT FOR UPDATE statement is used to order transactions under contention. |
concurrency control, locking, transactions, update locking, update, contention |
true |
{% include {{page.version.version}}/sql/select-for-update-overview.md %}
The user must have the SELECT
and UPDATE
privileges on the tables used as operands.
The same as for other selection queries.
In this example, we'll use SELECT ... FOR UPDATE
to lock a row inside a transaction, forcing other transactions that want to update the same row to wait for the first transaction to complete. The other transactions that want to update the same row are effectively put into a queue based on when they first try to read the value of the row.
This example assumes you are running a local unsecured cluster.
First, let's connect to the running cluster (we'll call this Terminal 1):
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cockroach sql --insecure
Next, let's create a table and insert some rows:
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CREATE TABLE kv (k INT PRIMARY KEY, v INT);
INSERT INTO kv (k, v) VALUES (1, 5), (2, 10), (3, 15);
Next, we'll start a transaction and and lock the row we want to operate on:
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BEGIN;
SELECT * FROM kv WHERE k = 1 FOR UPDATE;
Hit enter twice in the SQL client to send the input so far to be evaluated. This will result in the following output:
k | v
+---+----+
1 | 5
(1 row)
Now let's open another terminal and connect to the database from a second client (we'll call this Terminal 2):
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cockroach sql --insecure
From Terminal 2, start a transaction and try to lock the same row for updates that is already being accessed by the transaction we opened in Terminal 1:
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BEGIN;
SELECT * FROM kv WHERE k = 1 FOR UPDATE;
Hit enter twice to send the input so far to be evaluated. Because Terminal 1 has already locked this row, the SELECT ... FOR UPDATE
statement from Terminal 2 will appear to "wait".
Back in Terminal 1, let's update the row and commit the transaction:
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UPDATE kv SET v = v + 5 WHERE k = 1;
COMMIT;
COMMIT
Now that the transaction in Terminal 1 has committed, the transaction in Terminal 2 will be "unblocked", generating the following output, which shows the value left by the transaction in Terminal 1:
k | v
+---+----+
1 | 10
(1 row)
The transaction in Terminal 2 can now receive input, so let's update the row in question again:
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UPDATE kv SET v = v + 5 WHERE k = 1;
COMMIT;
UPDATE 1
Finally, we commit the transaction in Terminal 2:
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COMMIT;
COMMIT