Connection
geneva.db.Connection
Bases: DBConnection
Geneva Connection.
Source code in geneva/db.py
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close
Close the connection.
Source code in geneva/db.py
table_names
table_names(
page_token: str | None = None,
limit: int | None = None,
*args,
**kwargs,
) -> Iterable[str]
List all available tables and views.
Source code in geneva/db.py
open_table
open_table(
name: str,
storage_options: dict[str, str] | None = None,
index_cache_size: int | None = None,
version: int | None = None,
*args,
**kwargs,
) -> Table
Open a Lance Table.
Parameters:
-
name
(str
) –Name of the table.
-
storage_options
(dict[str, str] | None
, default:None
) –Additional options for the storage backend. Options already set on the connection will be inherited by the table, but can be overridden here. See available options at https://lancedb.github.io/lancedb/guides/storage/
Source code in geneva/db.py
create_table
create_table(
name: str,
data: DATA | None = None,
schema: Schema | LanceModel | None = None,
mode: str = "create",
exist_ok: bool = False,
on_bad_vectors: str = "error",
fill_value: float = 0.0,
storage_options: dict[str, str] | None = None,
*args,
**kwargs,
) -> Table
Create a Table in the lake
Parameters:
-
name
(str
) –The name of the table
-
data
(DATA | None
, default:None
) –User must provide at least one of
data
orschema
. Acceptable types are:- list-of-dict
- pandas.DataFrame
- pyarrow.Table or pyarrow.RecordBatch
-
schema
(Schema | LanceModel | None
, default:None
) –Acceptable types are:
- pyarrow.Schema
- [LanceModel][lancedb.pydantic.LanceModel]
-
mode
(str
, default:'create'
) –The mode to use when creating the table. Can be either "create" or "overwrite". By default, if the table already exists, an exception is raised. If you want to overwrite the table, use mode="overwrite".
-
exist_ok
(bool
, default:False
) –If a table by the same name already exists, then raise an exception if exist_ok=False. If exist_ok=True, then open the existing table; it will not add the provided data but will validate against any schema that's specified.
-
on_bad_vectors
(str
, default:'error'
) –What to do if any of the vectors are not the same size or contain NaNs. One of "error", "drop", "fill".
Source code in geneva/db.py
create_view
create_view(
name: str, query: str, materialized: bool = False
) -> Table
Create a View from a Query.
Parameters:
-
name
(str
) –Name of the view.
-
query
(str
) –SQL query to create the view.
-
materialized
(bool
, default:False
) –If True, the view is materialized.
Source code in geneva/db.py
create_materialized_view
create_materialized_view(
name: str,
query: GenevaQueryBuilder,
with_no_data: bool = True,
) -> Table
Create a materialized view
Parameters:
-
name
(str
) –Name of the materialized view.
-
query
(GenevaQueryBuilder
) –Query to create the view.
-
with_no_data
(bool
, default:True
) –If True, the view is materialized, if false it is ready for refresh.
Source code in geneva/db.py
drop_view
drop_view(name: str) -> Table
drop_table
define_cluster
Define a persistent Geneva cluster. This will upsert the cluster definition by
name. The cluster can then be provisioned using context(cluster=name)
.
Parameters:
-
name
(str
) –Name of the cluster. This will be used as the key when upserting and provisioning the cluster. The cluster name must comply with RFC 12123.
-
cluster
(GenevaCluster
) –The cluster definition to store.
Source code in geneva/db.py
list_clusters
List the cluster definitions. These can be defined using define_cluster()
.
Returns:
-
Iterable of GenevaCluster
–List of Geneva cluster definitions
Source code in geneva/db.py
delete_cluster
Delete a Geneva cluster definition.
Parameters:
-
name
(str
) –Name of the cluster to delete.
Source code in geneva/db.py
define_manifest
Define a persistent Geneva Manifest that represents the files and dependencies
used in the execution environment. This will upsert the manifest definition by
name and upload the required artifacts. The manifest can then be used with
context(manifest=name)
.
Parameters:
-
name
(str
) –Name of the manifest. This will be used as the key when upserting and loading the manifest.
-
manifest
(GenevaManifest
) –The manifest definition to use.
-
uploader
(Uploader | None
, default:None
) –An optional, custom Uploader to use. If not provided, the uploader will be auto-detected based on the environment configuration.
Source code in geneva/db.py
list_manifests
List the manifest definitions. These can be defined using define_manifest()
.
Returns:
-
Iterable of GenevaManifest
–List of Geneva manifest definitions
Source code in geneva/db.py
delete_manifest
Delete a Geneva manifest definition.
Parameters:
-
name
(str
) –Name of the manifest to delete.
Source code in geneva/db.py
context
context(
cluster: str | None = None,
manifest: str | None = None,
cluster_type=KUBE_RAY,
on_exit=None,
) -> AbstractContextManager[None]
Context manager for a Geneva Execution Environment. This will provision a cluster based on the cluster definition and the manifest provided. By default, the context manager will delete the cluster on exit. This can be configured with the on_exit parameter.
Parameters:
-
cluster
(str | None
, default:None
) –Name of the persisted cluster definition to use. This will raise an exception if the cluster definition was not defined via
define_cluster()
. This parameter is ignored ifcluster_type
isGenevaClusterType.LOCAL_RAY
. -
manifest
(str | None
, default:None
) –Name of the persisted manifest to use. This will raise an exception if the manifest definition was not defined via
define_manifest()
. -
cluster_type
–Type of the cluster to use. By default, KUBE_RAY will be used. To start a local Ray cluster, use
GenevaClusterType.LOCAL_RAY
. -
on_exit
–Exit mode for the cluster. By default, the cluster will be deleted when the context manager exits. To retain the cluster on errors, use
ExitMode.DELETE_ON_SUCCESS
. To always retain the cluster, useExitMode.RETAIN
.
Source code in geneva/db.py
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sql
sql(query: str) -> Table
Execute a raw SQL query.
It uses the Flight SQL engine to execute the query.
Parameters:
-
query
(str
) –SQL query to execute
Returns:
-
Table
–Result of the query in a
pyarrow.Table
TODO
- Support pagination
- Support query parameters