Viewing query history in sessions
This document describes how to view the history of a session in
BigQuery. It is intended for users who already have a general
understanding of BigQuery
sessions
.
Before you complete these steps, ensure you have the necessary
permissions
to
view the history of a session.
View the history of a session
A session captures your SQL activities within a timeframe. This information is
stored in the session's history. Session history lets you track changes you've
made in the session. If a job fails or succeeds, it is recorded in the
session history so you can go back later and see what you did.
Console
To view the history of a session in the Google Cloud console, you can filter
your
Personal History
or
Project History
by session ID to view all
SQL queries run in a specific session. For information about finding your
session ID, see
Finding sessions
.
In the Google Cloud console, go to the BigQuery page.
Go to BigQuery
Select the type of job history you want to view:
- To display information of your recent jobs, click
Personal
history
.
- To display information of recent jobs in your project, click
Project history
.
Click
filter_list
Filter
then
select
Session ID
.
In the
Session ID
field, search for the session ID:
Session ID: CgwKCmZhbGl1LXRlc3QQARokMDAzYjI0OWQtZ
SQL
To view historical data for a specific session, first
get your session ID
, then follow these
steps:
In the Google Cloud console, go to the
BigQuery
page.
Go to BigQuery
In the query editor, enter the following statement:
SELECT
*
FROM
region-us.INFORMATION_SCHEMA.
VIEW
WHERE
session_info.session_id = '
SESSION_ID
';
Replace the following:
Click
play_circle
Run
.
For more information about how to run queries, see
Run an interactive query
.
Example
The following returns the history for a session that has the session ID
CgwKCmZhbGl1LXRlc3QQARokMDAzYjI0
. You can replace this session ID with your
own.
SELECT
creation_time, query
FROM
region-us.INFORMATION_SCHEMA.JOBS_BY_USER
WHERE
session_info.session_id = 'CgwKCmZhbGl1LXRlc3QQARokMDAzYjI0'
AND creation_time > TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 20 DAY);
The result is similar to the following:
+---------------------+------------------------------------------------------------------------------------------+
| creation_time | query |
+---------------------+------------------------------------------------------------------------------------------+
| 2021-06-01 23:04:26 | SELECT * FROM Purchases; |
| 2021-06-01 23:02:51 | CREATE TEMP TABLE Purchases(total INT64) AS SELECT * FROM UNNEST([10,23,3,14,55]) AS a; |
+---------------------+------------------------------------------------------------------------------------------+
What's next