Delete rows (Python)
Finds rows in a table using filter clauses, and then deletes those rows.
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If you don’t use a filter, or if you use an empty filter, then this method deletes all rows in the table. |
Deleting rows produces tombstones. Excessive tombstones can impact query performance.
For general information about working with tables and rows, see About tables with the Data API (Python).
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Ready to write code? See the examples for this method to get started. If you are new to the Data API, check out the quickstart. |
Result
Deletes rows that match the specified parameters. If no rows match the specified parameters, this method does not delete any rows.
Does not return anything.
Parameters
Use the delete_many method, which belongs to the astrapy.Table class.
Method signature
delete_many(
filter: Dict[str, Any],
*,
general_method_timeout_ms: int,
request_timeout_ms: int,
timeout_ms: int,
) -> None| Name | Type | Summary | ||
|---|---|---|---|---|
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The filter criteria, defined using the Data API filter syntax. If not empty, the filter depends on the table’s primary key definition:
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Optional. The maximum time, in milliseconds, that the client should wait for the underlying HTTP request. This parameter is aliased as Default: The default value for the table. This default is 30 seconds unless you specified a different default when you initialized the |
Examples
The following examples demonstrate how to delete rows in a table.
Delete a row by primary key
If the filter specifies the full primary key, only the row matching that full primary key is deleted.
In the following example, the table has a composite primary key with the columns title and author.
For more information, see Primary keys in tables (Python) and Filter operators for tables (Python).
from astrapy import DataAPIClient
# Get an existing table
client = DataAPIClient()
database = client.get_database(
"API_ENDPOINT", token="APPLICATION_TOKEN"
)
table = database.get_table("TABLE_NAME")
# Delete rows
table.delete_many(
{"title": "Hidden Shadows of the Past", "author": "John Anthony"}
)Delete rows in a table with a single-column primary key
If the table has a single-column primary key, the filter must include the column in the primary key, and it cannot include any other columns.
In the following example, the table has a single-column primary key with the column title.
For more information, see Primary keys in tables (Python) and Filter operators for tables (Python).
from astrapy import DataAPIClient
# Get an existing table
client = DataAPIClient()
database = client.get_database(
"API_ENDPOINT", token="APPLICATION_TOKEN"
)
table = database.get_table("TABLE_NAME")
# Delete rows
table.delete_many(
{
"title": "Hidden Shadows of the Past",
}
)Delete rows in a table with a composite primary key
If the table has a composite primary key, the filter must include all columns in the primary key definition (all partition keys), and it cannot include any other columns.
In the following example, the table has a composite primary key with the columns title and author.
For more information, see Primary keys in tables (Python) and Filter operators for tables (Python).
from astrapy import DataAPIClient
# Get an existing table
client = DataAPIClient()
database = client.get_database(
"API_ENDPOINT", token="APPLICATION_TOKEN"
)
table = database.get_table("TABLE_NAME")
# Delete rows
table.delete_many(
{"title": "Hidden Shadows of the Past", "author": "John Anthony"}
)Delete rows in a table with a compound primary key
If the table has a compound primary key, the filter must include all of the partition (grouping) columns in the primary key.
The filter can also include clustering (sorting) columns from the primary key:
-
The order of the clustering columns in the filter must match the order in the primary key definition. You can omit clustering keys, but you cannot skip any clustering keys. For example, if you have three clustering keys,
a,b, andc, then you can includeaand omitbandc. However, if you includeb, then you must also includea. -
The last clustering column can use range operators (
$gt,$gte,$lt, and$lte) or the$eqoperator. All other clustering columns can only use the$eqoperator. For example, if your table has three clustering keys,a,b, andc, then you can only use range operators withc.
The filter cannot include any other columns.
In the following example, the table has a compound primary key with the partition column title and the clustering column rating.
For more information, see Primary keys in tables (Python) and Filter operators for tables (Python).
from astrapy import DataAPIClient
# Get an existing table
client = DataAPIClient()
database = client.get_database(
"API_ENDPOINT", token="APPLICATION_TOKEN"
)
table = database.get_table("TABLE_NAME")
# Delete rows
table.delete_many({"title": "Hidden Shadows of the Past", "rating": 4})Delete all rows
To delete all rows, use an empty filter.
from astrapy import DataAPIClient
# Get an existing table
client = DataAPIClient()
database = client.get_database(
"API_ENDPOINT", token="APPLICATION_TOKEN"
)
table = database.get_table("TABLE_NAME")
# Delete rows
table.delete_many({})Client reference
For more information, see the client reference.
