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s zTableResource.__init__Nc C s t | j| jj|d�S )aY Create a batch writer object.
This method creates a context manager for writing
objects to Amazon DynamoDB in batch.
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in batches. In addition, the batch writer will also automatically
handle any unprocessed items and resend them as needed. All you need
to do is call ``put_item`` for any items you want to add, and
``delete_item`` for any items you want to delete.
Example usage::
with table.batch_writer() as batch:
for _ in range(1000000):
batch.put_item(Item={'HashKey': '...',
'Otherstuff': '...'})
# You can also delete_items in a batch.
batch.delete_item(Key={'HashKey': 'SomeHashKey'})
:type overwrite_by_pkeys: list(string)
:param overwrite_by_pkeys: De-duplicate request items in buffer
if match new request item on specified primary keys. i.e
``["partition_key1", "sort_key2", "sort_key3"]``
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:type table_name: str
:param table_name: The name of the table. The class handles
batch writes to a single table.
:type client: ``botocore.client.Client``
:param client: A botocore client. Note this client
**must** have the dynamodb customizations applied
to it for transforming AttributeValues into the
wire protocol. What this means in practice is that
you need to use a client that comes from a DynamoDB
resource if you're going to instantiate this class
directly, i.e
``boto3.resource('dynamodb').Table('foo').meta.client``.
:type flush_amount: int
:param flush_amount: The number of items to keep in
a local buffer before sending a batch_write_item
request to DynamoDB.
:type overwrite_by_pkeys: list(string)
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