Class BigtableLoader (0.6.0)
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BigtableLoader(
instance_id: str,
table_id: str,
row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,
filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,
client: typing.Optional[google.cloud.bigtable.client.Client] = None,
content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
content_column_family: str = "langchain",
content_column_name: str = "content",
metadata_mappings: typing.List[
langchain_google_bigtable.loader.MetadataMapping
] = [],
metadata_as_json_column_family: typing.Optional[str] = None,
metadata_as_json_column_name: typing.Optional[str] = None,
metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
)
Load from the Google Cloud Platform Bigtable.
Methods
BigtableLoader
BigtableLoader(
instance_id: str,
table_id: str,
row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,
filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,
client: typing.Optional[google.cloud.bigtable.client.Client] = None,
content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
content_column_family: str = "langchain",
content_column_name: str = "content",
metadata_mappings: typing.List[
langchain_google_bigtable.loader.MetadataMapping
] = [],
metadata_as_json_column_family: typing.Optional[str] = None,
metadata_as_json_column_name: typing.Optional[str] = None,
metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,
)
Initialize Bigtable document loader.
lazy_load
lazy_load() -> typing.Iterator[langchain_core.documents.base.Document]
A lazy loader for Documents.
load
load() -> typing.List[langchain_core.documents.base.Document]
Load data into Document objects.
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Last updated 2025-08-13 UTC.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],["Last updated 2025-08-13 UTC."],[],[],null,["# Class BigtableLoader (0.6.0)\n\nVersion latestkeyboard_arrow_down\n\n- [0.6.0 (latest)](/python/docs/reference/langchain-google-bigtable/latest/langchain_google_bigtable.loader.BigtableLoader)\n- [0.5.0](/python/docs/reference/langchain-google-bigtable/0.5.0/langchain_google_bigtable.loader.BigtableLoader)\n- [0.4.4](/python/docs/reference/langchain-google-bigtable/0.4.4/langchain_google_bigtable.loader.BigtableLoader)\n- [0.3.1](/python/docs/reference/langchain-google-bigtable/0.3.1/langchain_google_bigtable.loader.BigtableLoader)\n- [0.2.3](/python/docs/reference/langchain-google-bigtable/0.2.3/langchain_google_bigtable.loader.BigtableLoader) \n\n BigtableLoader(\n instance_id: str,\n table_id: str,\n row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,\n filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,\n client: typing.Optional[google.cloud.bigtable.client.Client] = None,\n content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,\n content_column_family: str = \"langchain\",\n content_column_name: str = \"content\",\n metadata_mappings: typing.List[\n langchain_google_bigtable.loader.MetadataMapping\n ] = [],\n metadata_as_json_column_family: typing.Optional[str] = None,\n metadata_as_json_column_name: typing.Optional[str] = None,\n metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,\n )\n\nLoad from the Google Cloud Platform `Bigtable`.\n\nMethods\n-------\n\n### BigtableLoader\n\n BigtableLoader(\n instance_id: str,\n table_id: str,\n row_set: typing.Optional[google.cloud.bigtable.row_set.RowSet] = None,\n filter: typing.Optional[google.cloud.bigtable.row_filters.RowFilter] = None,\n client: typing.Optional[google.cloud.bigtable.client.Client] = None,\n content_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,\n content_column_family: str = \"langchain\",\n content_column_name: str = \"content\",\n metadata_mappings: typing.List[\n langchain_google_bigtable.loader.MetadataMapping\n ] = [],\n metadata_as_json_column_family: typing.Optional[str] = None,\n metadata_as_json_column_name: typing.Optional[str] = None,\n metadata_as_json_encoding: langchain_google_bigtable.loader.Encoding = Encoding.UTF8,\n )\n\nInitialize Bigtable document loader.\n\n### lazy_load\n\n lazy_load() -\u003e typing.Iterator[langchain_core.documents.base.Document]\n\nA lazy loader for Documents.\n\n### load\n\n load() -\u003e typing.List[langchain_core.documents.base.Document]\n\nLoad data into Document objects."]]
