Query: dynamodb get item python examples

Relevant code:
def batch_get_item(self, batch_list):
        """
        Return a set of attributes for a multiple items in
        multiple tables using their primary keys.

        :type batch_list: :class:`boto.dynamodb.batch.BatchList`
        :param batch_list: A BatchList object which consists of a
            list of :class:`boto.dynamoddb.batch.Batch` objects.
            Each Batch object contains the information about one
            batch of objects that you wish to retrieve in this
            request.
        """
        request_items = self.dynamize_request_items(batch_list)
        return self.layer1.batch_get_item(request_items,
                                          object_hook=item_object_hook)

Similar but not relevant code:
def __getitem__(self, name):
        """
        A pymongo-like behavior for dynamically obtaining a collection of documents
        """
        if name not in self._collections:
            self._collections[name] = Collection(self.db, name)
        return self._collections[name]

Similar but not relevant code:
def bulk_load_docs(es, docs):
    """Bulk load docs

    Args:
        es: elasticsearch handle
        docs: Iterator of doc objects - includes index_name
    """

    chunk_size = 200

    try:
        results = elasticsearch.helpers.bulk(es, docs, chunk_size=chunk_size)
        log.debug(f"Elasticsearch documents loaded: {results[0]}")

        # elasticsearch.helpers.parallel_bulk(es, terms, chunk_size=chunk_size, thread_count=4)
        if len(results[1]) > 0:
            log.error("Bulk load errors {}".format(results))
    except elasticsearch.ElasticsearchException as e:
        log.error("Indexing error: {}\n".format(e))

Similar but not relevant code:
def find_one(self, query):
        """Find one wrapper with conversion to dictionary

        :param dict query: A Mongo query
        """
        mongo_response = yield self.collection.find_one(query)
        raise Return(self._obj_cursor_to_dictionary(mongo_response))

Similar but not relevant code:
def all_documents(index=INDEX_NAME):
    """
    Get all documents from the given index.

    Returns full Elasticsearch objects so you can get metadata too.
    """
    query = {
        'query': {
            'match_all': {}
        }
    }
    for result in raw_query(query, index=index):
        yield result

Similar but not relevant code:
def find_one(cls, *args, **kw):
		"""Get a single document from the collection this class is bound to.
		
		Additional arguments are processed according to `_prepare_find` prior to passing to PyMongo, where positional
		parameters are interpreted as query fragments, parametric keyword arguments combined, and other keyword
		arguments passed along with minor transformation.
		
		Automatically calls `to_mongo` with the retrieved data.
		
		https://api.mongodb.com/python/current/api/pymongo/collection.html#pymongo.collection.Collection.find_one
		"""
		
		if len(args) == 1 and not isinstance(args[0], Filter):
			args = (getattr(cls, cls.__pk__) == args[0], )
		
		Doc, collection, query, options = cls._prepare_find(*args, **kw)
		result = Doc.from_mongo(collection.find_one(query, **options))
		
		return result