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06_​Connecting_​to_​Databricks

Connecting to Databricks

This workflow shows how to connect to a Databricks cluster and utilize various KNIME nodes to interact with Databricks from within KNIME Analytics Platform.

Connecting to Databricks Read from Databricks Do data manipulation in Spark or KNIME Write into Databricks Work with Databricks File System (DBFS) Enter your own Databrickscredentials OPTIONAL - Destroy spark context at theend. The cluster will be terminated as well ifthe option is enabled in Create DatabricksEnvironment node Databricks Delta - supports additional features such as ACID transactions, time travel, etc Connect to Databricks andstart the clusterWrite the tableinto DBConnect to DBFSRead from databaseList all files in DBFSRead parquet files into local machineStore aggregated datain parquetWrite data as parquet back into DBFSImport csv intosparkGroup by origin airportsVisualize the dataSort by delayTake 10 airportswith highest delaysCreate a new tableCreate a new Delta tableVersion 0Write the Delta tableinto DBVersion 1Read version 1 from databaseInsert new rowsVersion 2Additional flights Create DatabricksEnvironment DB Loader Databricks FileSystem Connection DB Table Selector List Remote Files Parquet Reader Spark to Parquet Parquet Writer CSV to Spark Spark GroupBy Bar Chart Sorter Row Filter Destroy SparkContext Merge Variables DB Table Creator Extract parquetfile path DB Table Creator DB Loader DB Table Selector DB Loader Table Creator Connecting to Databricks Read from Databricks Do data manipulation in Spark or KNIME Write into Databricks Work with Databricks File System (DBFS) Enter your own Databrickscredentials OPTIONAL - Destroy spark context at theend. The cluster will be terminated as well ifthe option is enabled in Create DatabricksEnvironment node Databricks Delta - supports additional features such as ACID transactions, time travel, etc Connect to Databricks andstart the clusterWrite the tableinto DBConnect to DBFSRead from databaseList all files in DBFSRead parquet files into local machineStore aggregated datain parquetWrite data as parquet back into DBFSImport csv intosparkGroup by origin airportsVisualize the dataSort by delayTake 10 airportswith highest delaysCreate a new tableCreate a new Delta tableVersion 0Write the Delta tableinto DBVersion 1Read version 1 from databaseInsert new rowsVersion 2Additional flightsCreate DatabricksEnvironment DB Loader Databricks FileSystem Connection DB Table Selector List Remote Files Parquet Reader Spark to Parquet Parquet Writer CSV to Spark Spark GroupBy Bar Chart Sorter Row Filter Destroy SparkContext Merge Variables DB Table Creator Extract parquetfile path DB Table Creator DB Loader DB Table Selector DB Loader Table Creator

Nodes

Extensions

Links

Download

To use this workflow in KNIME, download it from the below URL and open it in KNIME:

Download Workflow
Created by: dewi
Created at: 2020-02-26
On NodePit since: 2022-12-01
Last update: 2024-12-17
Created with KNIME version: v4.1.2
Tags: databricksdatabricks deltadbfsparquet

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