fs = SomeFSSpecFilesystem() df = DeltaTable(path, file_system=fs).to_pandas() Performance comparison with PySpark It is possible to run PySpark in local mode, which means you can run spark code without having to spin up an entire cluster. This, however, still involves a big performance ...
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delta_sharing.load_table_changes_as_pandas(table_url, starting_version=0, ending_version=5) # If the code is running with PySpark, you can load table changes as Spark DataFrame. delta_sharing.load_table_changes_as_spark(table_url, starting__version=0, ending_version=5) ``` You can try...
DROPTABLEIFEXISTSbooks;CREATETABLEbooksUSINGXMLOPTIONS (path"books.xml", rowTag"book");SELECT*FROMbooks; You can also specify column names and types in DDL. In this case, the schema is not inferred automatically. SQL DROPTABLEIFEXISTSbooks;CREATETABLEbooks (authorstring, descriptionstring, genre...
databricks/create_tables_from_lake.ipynbA notebook file which allows the importation of CSV (or parquet files in older versions) to the Data Warehouse using PySpark API. dbt/Project folder used by dbt cloud. dbt/macros/*.sqlAll custom macros used by SQL models. Reusable code snippets that ...