TABLE_STORAGE_BY_ORGANIZATION view
The INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION
view contain one row for
each table or materialized view for the whole organization associated with the
current project. The data in this table is not kept in real time, and might be
delayed by a few seconds to a few minutes.
The table storage views give you a convenient way to observe your current storage consumption, and in addition provide details on whether your storage uses logical uncompressed bytes, physical compressed bytes, or time travel bytes. This information can help you with tasks like planning for future growth and understanding the update patterns for tables.
Data included in the *_BYTES
columns
The *_BYTES
columns in the table storage views include information about your
use of storage bytes. This information is determined by looking at your storage
usage for materialized views and the following types of tables:
- Permanent tables created through any of the methods described in Create and use tables.
- Temporary tables created in sessions. These tables are placed into datasets with generated names like "_c018003e063d09570001ef33ae401fad6ab92a6a".
- Temporary tables created in multi-statement queries ("scripts"). These tables are placed into datasets with generated names like "_script72280c173c88442c3a7200183a50eeeaa4073719".
Data stored in the
query results cache
is not billed to you and so is not included in the *_BYTES
column values.
Clones and snapshots show *_BYTES
column values as if they were complete
tables, rather than showing the delta from the storage used by the base table,
so they are an over-estimation. Your bill does account correctly for this delta
in storage usage. For more information on the delta bytes stored and billed by clones and
snapshots, see the TABLE_STORAGE_USAGE_TIMELINE
view.
Forecast storage billing
In order to forecast the monthly storage billing for a dataset, you can use
either the logical
or physical *_BYTES
columns in this view, depending
on the
dataset storage billing model
used by the dataset. Please note that this is only a rough forecast, and
the precise billing amounts are calculated based on the usage by
BigQuery storage billing infrastructure and visible in
Cloud Billing.
For datasets that use a logical billing model, you can forecast your monthly storage costs as follows:
((ACTIVE_LOGICAL_BYTES
value / POW
(1024, 3)) * active logical bytes pricing) +
((LONG_TERM_LOGICAL_BYTES
value / POW
(1024, 3)) * long-term logical bytes pricing)
The ACTIVE_LOGICAL_BYTES
value for a table reflects the active bytes
currently used by that table.
For datasets that use a physical billing model, you can forecast your storage costs as follows:
((ACTIVE_PHYSICAL_BYTES + FAIL_SAFE_PHYSICAL_BYTES
value / POW
(1024, 3)) * active physical bytes pricing) +
((LONG_TERM_PHYSICAL_BYTES
value / POW
(1024, 3)) * long-term physical bytes pricing)
The ACTIVE_PHYSICAL_BYTES
value for a table reflects the active bytes
currently used by that table plus the bytes used for time travel for that table.
To see the active bytes of the table alone, subtract the
TIME_TRAVEL_PHYSICAL_BYTES
value from the
ACTIVE_PHYSICAL_BYTES
value.
For more information, see Storage pricing.
Required permissions
To query the INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION
view, you need the following
Identity and Access Management (IAM) permissions for your organization:
bigquery.tables.get
bigquery.tables.list
Each of the following predefined IAM roles includes the preceding permissions:
roles/bigquery.admin
roles/bigquery.dataViewer
roles/bigquery.dataEditor
roles/bigquery.metadataViewer
This schema view is only available to users with defined Google Cloud organizations.
For more information about BigQuery permissions, see Access control with IAM.
Schema
The INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION
view has the following schema:
Column name | Data type | Value |
---|---|---|
PROJECT_ID |
STRING |
The project ID of the project that contains the dataset. |
PROJECT_NUMBER |
INT64 |
The project number of the project that contains the dataset. |
TABLE_CATALOG |
STRING |
The project ID of the project that contains the dataset. |
TABLE_SCHEMA |
STRING |
The name of the dataset that contains the table or materialized view,
also referred to as the datasetId . |
TABLE_NAME |
STRING |
The name of the table or materialized view, also referred to as the
tableId . |
CREATION_TIME |
TIMESTAMP |
The creation time of the table. |
TOTAL_ROWS |
INT64 |
The total number of rows in the table or materialized view. |
TOTAL_PARTITIONS |
INT64 |
The number of partitions present in the table or materialized view. Unpartitioned tables return 0. |
TOTAL_LOGICAL_BYTES |
INT64 |
Total number of logical (uncompressed) bytes in the table or materialized view. |
ACTIVE_LOGICAL_BYTES |
INT64 |
Number of logical (uncompressed) bytes that are younger than 90 days. |
LONG_TERM_LOGICAL_BYTES |
INT64 |
Number of logical (uncompressed) bytes that are older than 90 days. |
CURRENT_PHYSICAL_BYTES |
INT64 |
Total number of physical bytes for the current storage of the table across all partitions. |
TOTAL_PHYSICAL_BYTES |
INT64 |
Total number of physical (compressed) bytes used for storage, including active, long-term, and time travel (deleted or changed data) bytes. Fail-safe (deleted or changed data retained after the time-travel window) bytes aren't included. |
ACTIVE_PHYSICAL_BYTES |
INT64 |
Number of physical (compressed) bytes younger than 90 days, including time travel (deleted or changed data) bytes. |
LONG_TERM_PHYSICAL_BYTES |
INT64 |
Number of physical (compressed) bytes older than 90 days. |
TIME_TRAVEL_PHYSICAL_BYTES |
INT64 |
Number of physical (compressed) bytes used by time travel storage (deleted or changed data). |
STORAGE_LAST_MODIFIED_TIME |
TIMESTAMP |
The most recent time that data was written to the table. |
DELETED |
BOOLEAN |
Indicates whether or not the table is deleted. |
TABLE_TYPE |
STRING |
The type of table. For example, EXTERNAL or
BASE TABLE .
|
FAIL_SAFE_PHYSICAL_BYTES |
INT64 |
Number of physical (compressed) bytes used by the fail-safe storage (deleted or changed data). |
LAST_METADATA_INDEX_REFRESH_TIME |
TIMESTAMP |
The last metadata index refresh time of the table. |
Scope and syntax
Queries against this view must include a region qualifier. The following table explains the region scope for this view:
View name | Resource scope | Region scope |
---|---|---|
[`PROJECT_ID`.]`region-REGION`.INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION |
Organization that contains the specified project | REGION |
- Optional:
PROJECT_ID
: the ID of your Google Cloud project. If not specified, the default project is used.
REGION
: any dataset region name. For example,`region-us`
.
The following example shows how to return storage information for tables in a specified project in an organization:
SELECT * FROM `myProject`.`region-REGION`.INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION;
The following example shows how to return storage information by project for tables in an organization:
SELECT * FROM `region-REGION`.INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION;
Example
The following example shows you which projects in an organization are currently using the most storage.
SELECT project_id, SUM(total_logical_bytes) AS total_logical_bytes FROM `region-REGION`.INFORMATION_SCHEMA.TABLE_STORAGE_BY_ORGANIZATION GROUP BY project_id ORDER BY total_logical_bytes DESC;
The result is similar to the following:
+---------------------+---------------------+ | project_id | total_logical_bytes | +---------------------+---------------------+ | projecta | 971329178274633 | +---------------------+---------------------+ | projectb | 834638211024843 | +---------------------+---------------------+ | projectc | 562910385625126 | +---------------------+---------------------+