dremio_client.util package¶
Submodules¶
dremio_client.util.query module¶
-
dremio_client.util.query.
refresh_metadata
(token, base_url, table, ssl_verify=True)[source]¶ Refresh the metadata of a given PDS
This requests a metadata refresh of a given Physical Dataset
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- table – valid dremio table name
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: None
Example: >>> refresh_metadata('abc', 'http://localhost:9047', 'source.pds')
-
dremio_client.util.query.
run
(token, base_url, query, context=None, sleep_time=10, ssl_verify=True)[source]¶ Run a single sql query
This runs a single sql query against the rest api and returns a json document of the results
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- query – valid sql query
- context – optional context in which to execute the query
- sleep_time – seconds to sleep between checking for finished state
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: json array of result rows
Example: >>> run('abc', 'http://localhost:9047', 'select * from sys.options') [{'record':'1'}, {'record':'2'}]
-
dremio_client.util.query.
run_async
(token, base_url, query, context=None, sleep_time=10, ssl_verify=True)[source]¶ Run a single sql query asynchronously
This executes a single sql query against the rest api asynchronously and returns a future for the result
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- query – valid sql query
- context – optional context in which to execute the query
- sleep_time – seconds to sleep between checking for finished state
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: concurrent.futures.Future for the result
Example: >>> f = run_async('abc', 'http://localhost:9047', 'select * from sys.options') >>> f.result() [{'record':'1'}, {'record':'2'}]
dremio_client.util.refresh module¶
Warning
dremio_client.util.refresh.refresh_reflections_of_one_dataset Caution using this function. It can has an critical impact on source system due to disabled reflection.
Module contents¶
-
dremio_client.util.
run
(token, base_url, query, context=None, sleep_time=10, ssl_verify=True)[source]¶ Run a single sql query
This runs a single sql query against the rest api and returns a json document of the results
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- query – valid sql query
- context – optional context in which to execute the query
- sleep_time – seconds to sleep between checking for finished state
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: json array of result rows
Example: >>> run('abc', 'http://localhost:9047', 'select * from sys.options') [{'record':'1'}, {'record':'2'}]
-
dremio_client.util.
run_async
(token, base_url, query, context=None, sleep_time=10, ssl_verify=True)[source]¶ Run a single sql query asynchronously
This executes a single sql query against the rest api asynchronously and returns a future for the result
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- query – valid sql query
- context – optional context in which to execute the query
- sleep_time – seconds to sleep between checking for finished state
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: concurrent.futures.Future for the result
Example: >>> f = run_async('abc', 'http://localhost:9047', 'select * from sys.options') >>> f.result() [{'record':'1'}, {'record':'2'}]
-
dremio_client.util.
refresh_metadata
(token, base_url, table, ssl_verify=True)[source]¶ Refresh the metadata of a given PDS
This requests a metadata refresh of a given Physical Dataset
Parameters: - token – API token from auth
- base_url – base url of Dremio instance
- table – valid dremio table name
- ssl_verify – verify ssl on web requests
Raise: DremioException if job failed
Raise: DremioUnauthorizedException if token is incorrect or invalid
Returns: None
Example: >>> refresh_metadata('abc', 'http://localhost:9047', 'source.pds')
-
dremio_client.util.
refresh_vds_reflection_by_path
(client, path=None)[source]¶ By providing a path from VDS the reflection of that vds will be refreshed Script will find which pds is responsible for the reflection and trigger the refresh based on pds
Parameters: path – list [‘space’, ‘folder’, ‘vds’]
-
dremio_client.util.
refresh_reflections_of_one_dataset
(client, path=None)[source]¶ By providing a path from dataset the reflection of that dataset will be refreshed through reenable Enebled reflections of dataset and all reflections from derived dataset will be refreshed
Parameters: path – list [‘space’, ‘folder’, ‘vds’]