CassandraByteStore
This will help you get started with Cassandra key-value stores. For detailed documentation of all CassandraByteStore
features and configurations head to the API reference.
Overviewโ
Cassandra is a NoSQL, row-oriented, highly scalable and highly available database.
Integration detailsโ
Class | Package | Local | JS support | Package downloads | Package latest |
---|---|---|---|---|---|
CassandraByteStore | langchain_community | โ | โ |
Setupโ
The CassandraByteStore
is an implementation of ByteStore
that stores the data in your Cassandra instance.
The store keys must be strings and will be mapped to the row_id
column of the Cassandra table.
The store bytes
values are mapped to the body_blob
column of the Cassandra table.
Installationโ
The LangChain CassandraByteStore
integration lives in the langchain_community
package. You'll also need to install the cassio
package or the cassandra-driver
package as a peer dependency depending on which initialization method you're using:
%pip install -qU langchain_community
%pip install -qU cassandra-driver
%pip install -qU cassio
You'll also need to create a cassandra.cluster.Session
object, as described in the Cassandra driver documentation. The details vary (e.g. with network settings and authentication), but this might be something like:
Instantiationโ
You'll first need to create a cassandra.cluster.Session
object, as described in the Cassandra driver documentation. The details vary (e.g. with network settings and authentication), but this might be something like:
from cassandra.cluster import Cluster
cluster = Cluster()
session = cluster.connect()
Then you can create your store! You'll also need to provide the name of an existing keyspace of the Cassandra instance:
from langchain_community.storage import CassandraByteStore
kv_store = CassandraByteStore(
table="my_store",
session=session,
keyspace="<YOUR KEYSPACE>",
)
Usageโ
You can set data under keys like this using the mset
method:
kv_store.mset(
[
["key1", b"value1"],
["key2", b"value2"],
]
)
kv_store.mget(
[
"key1",
"key2",
]
)
And you can delete data using the mdelete
method:
kv_store.mdelete(
[
"key1",
"key2",
]
)
kv_store.mget(
[
"key1",
"key2",
]
)
Init using cassio
โ
It's also possible to use cassio to configure the session and keyspace.
import cassio
cassio.init(contact_points="127.0.0.1", keyspace="<YOUR KEYSPACE>")
store = CassandraByteStore(
table="my_store",
)
store.mset([("k1", b"v1"), ("k2", b"v2")])
print(store.mget(["k1", "k2"]))
API referenceโ
For detailed documentation of all CassandraByteStore
features and configurations, head to the API reference: https://python.langchain.com/api_reference/community/storage/langchain_community.storage.cassandra.CassandraByteStore.html