text: secret_access_key=SECRET_ACCESS_KEY,)data = loader.load()print(data)    [Document(page_content='id: 1\ncontent: content1\nmeta_info: meta_info1', metadata={}), Document(page_content='id: 2\ncontent: content2\nmeta_info: meta_info2', metadata={}), Document(page_content='id: 3\ncontent: content3\nmeta_info: meta_info3', metadata={})]print(data[0].page_content)    id: 1    content: content1    meta_info: meta_info1print(data[0].metadata)    {}Specifying Which Columns are Content vs Metadataâ€‹You can configure which subset of columns should be loaded as the contents of the Document and which as the metadata using the page_content_columns and metadata_columns parameters.loader = MaxComputeLoader.from_params(    base_query,    endpoint,    project,    page_content_columns=["content"],  # Specify Document page content    metadata_columns=["id", "meta_info"],  # Specify Document metadata    access_id=ACCESS_ID,    secret_access_key=SECRET_ACCESS_KEY,)data = loader.load()print(data[0].page_content)    content: content1print(data[0].metadata)    {'id': 1, 'meta_info': 'meta_info1'}PreviousAirtableNextApify DatasetBasic UsageSpecifying Which Columns are Content vs MetadataCommunityDiscordTwitterGitHubPythonJS/TSMoreHomepageBlogCopyright Â© 2023 LangChain, Inc.