pyflink.dataframe.read_catalog_table#
- read_catalog_table(path: str) pyflink.dataframe.dataframe.DataFrame[source]#
Read a catalog table into a DataFrame.
- Parameters
path – Table path. Use
table_name,db_name.table_name, orcatalog_name.db_name.table_name.- Returns
A new DataFrame.
Note
Call create_catalog() before reading a catalog table.
Example:
>>> import pyflink.dataframe as pf >>> pf.create_catalog("my_fluss", { ... "type": "fluss", ... "bootstrap.servers": "localhost:9123", ... }) >>> df = pf.read_catalog_table("my_fluss.my_database.my_table") >>> pf.use_catalog("my_fluss") >>> df = pf.read_catalog_table("my_database.my_table") >>> pf.use_database("my_database") >>> df = pf.read_catalog_table("my_table")