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CASE Switch Variable (Start)
KNIME Base Nodes version 4.2.0.v202007101308 by KNIME AG, Zurich, Switzerland
This nodes takes the flow variables from the input port and moves it to exactly one active output branch.
NOTE - Due to the way in which flow variables are handled within KNIME, the flow variable values for any existing flow variables beyond the corresponding "end" node will always be those at the top-most port of the "end" node. New variables created in any active branch will retain their correct values. If you need to change the value of existing variables, please either use a new flow variable, or use a Variable to Table Row node before a conventional End CASE node.
This node is derived from the Vernalis community extension.
Options
- Select active port
- Select the active output port
- Activate all outputs during configuration step
- When set the node will keep all outputs active during workflow configuration (that is, while the traffic light of the node is 'yellow'). This allows the configuration of connected downstream nodes and simplifies the workflow design at the expense of additional configuration calls of nodes that are later on inactive. It's recommended to switch this flag off for production workflows as this avoids unnecessary configuration calls of the inactive branches.
Input Ports
Output Ports
Best Friends (Incoming)
- Rule Engine Variable (16 %)
Table Row to Variable(12 %) Deprecated- Java Edit Variable (7 %)
Table Column to Variable(6 %) Deprecated- Single Selection (4 %)
- Python Edit Variable (4 %)
- Table Row To Variable Loop Start (3 %)
- Math Formula (Variable) (3 %)
- Boolean Input (3 %)
- String Manipulation (Variable) (2 %)
Merge Variables(2 %) Deprecated- Java Edit Variable (simple) (2 %)
- Date&Time Input (2 %)
- String Input (2 %)
- Database SQL Executor (legacy) (2 %)
- CASE Switch Variable (Start) (2 %)
- Empty Table Switch (2 %)
- Integer Input (2 %)
- Wait... (1 %)
- Extract Variables (Data) (1 %)
- GroupBy (1 %)
- Value Selection (1 %)
- R Snippet (1 %)
- XLS Named Range Reader (< 1 %)
- Catch Errors (Data Ports) (< 1 %)
- Catch Errors (Var Ports) (< 1 %)
- Create File Name (< 1 %)
- Database Writer (legacy) (< 1 %) Streamable
- List Files (< 1 %)
- Java Snippet (< 1 %) Streamable
- Counting Loop Start (< 1 %)
- Variable Loop End (< 1 %)
- Concatenate (< 1 %) Streamable
- Rule-based Row Filter (< 1 %) Streamable
- CASE Switch Variable (End) (< 1 %)
- CASE Switch Data (End) (< 1 %)
- Cache (< 1 %)
- Extract Table Dimension (< 1 %)
- Empty Table Creator (< 1 %)
Excel Writer (XLS)(< 1 %) Deprecated- Double Input (< 1 %)
- Generic JavaScript View (< 1 %)
- JSON to Table (< 1 %)
- Parameter Optimization Loop End (< 1 %)
Python Edit Variable(< 1 %) Deprecated- Python Script (1⇒1) (< 1 %)
- R Source (Workspace) (< 1 %)
- R To R (< 1 %)
- R to Table (< 1 %)
- String to Date/Time (legacy) (< 1 %) Streamable
- Show all 50 recommendations
Best Friends (Outgoing)
- CASE Switch Variable (End) (9 %)
- Database Reader (legacy) (5 %)
- String Manipulation (Variable) (5 %)
- Table Creator (3 %)
Variable to Table Row(2 %) Deprecated- CSV Reader (2 %)
- Database SQL Executor (legacy) (2 %)
- Java Edit Variable (2 %)
Merge Variables(2 %) Deprecated- Text Output (2 %)
- Date&Time Input (2 %)
- AQM Connector (1 %)
- Column Filter (1 %) Streamable
- Row Filter (1 %) Streamable
- GroupBy (1 %)
- CASE Switch Variable (Start) (1 %)
- Send Email (1 %)
- WrappedNode Output (1 %)
Excel Reader (XLS)(1 %) StreamableDeprecatedVariable to Table Column(< 1 %) StreamableDeprecatedTable Row to Variable(< 1 %) Deprecated- Database Connector (legacy) (< 1 %)
- Database Drop Table (legacy) (< 1 %)
- File Reader (< 1 %) Streamable
- Table Reader (< 1 %) Streamable
- Constant Value Column (< 1 %) Streamable
- Math Formula (< 1 %) Streamable
- Math Formula (Variable) (< 1 %)
- Java Edit Variable (simple) (< 1 %)
- Generic JavaScript View (< 1 %)
- R Snippet (< 1 %)
- Fail in execution (< 1 %) Streamable
- GET Resource (< 1 %)
- Percentile (< 1 %)
- ZipLoopStart (< 1 %)
- Hive Connector (< 1 %)
- Random Numbers Generator (< 1 %) Streamable
- Sphere Exclusion (< 1 %)
- Breakpoint (< 1 %)
- Wait... (< 1 %)
- Catch Errors (Data Ports) (< 1 %)
- Catch Errors (Var Ports) (< 1 %)
- Try (Variable Ports) (< 1 %)
- Active Branch Inverter (< 1 %)
- Create File Name (< 1 %)
- Table Row To Variable Loop Start (< 1 %)
- CSV Writer (< 1 %) Streamable
- Database Update (legacy) (< 1 %)
- Database Writer (legacy) (< 1 %) Streamable
- Database Looping (legacy) (< 1 %)
- Database Table Selector (legacy) (< 1 %)
- List Files (< 1 %)
- Java Snippet (< 1 %) Streamable
- Loop End (< 1 %)
- Variable Condition Loop End (< 1 %)
- Generic Loop Start (< 1 %)
- Variable Loop End (< 1 %)
- Decision Tree Learner (< 1 %)
- Concatenate (< 1 %) Streamable
- Extract Column Header (< 1 %)
- Column Resorter (< 1 %) Streamable
- Row Splitter (< 1 %) Streamable
- Joiner (< 1 %)
- Partitioning (< 1 %)
- Pivoting (< 1 %)
- Missing Value (< 1 %)
- Rank (< 1 %)
- Column Rename (< 1 %) Streamable
- RowID (< 1 %) Streamable
- Sorter (< 1 %)
- Column Splitter (< 1 %) Streamable
- String Manipulation (< 1 %) Streamable
- Transpose (< 1 %)
- Rule-based Row Filter (< 1 %) Streamable
- Rule Engine (< 1 %) Streamable
- Rule Engine Variable (< 1 %)
- CASE Switch Data (End) (< 1 %)
- End IF (< 1 %)
- IF Switch (< 1 %)
- CASE Switch Data (Start) (< 1 %)
- Extract Table Dimension (< 1 %)
- Data Generator (< 1 %) Streamable
- Spark DataFrame Java Snippet (Source) (< 1 %)
- Vertica Connector (legacy) (< 1 %)
- MySQL Connector (legacy) (< 1 %)
- SQLite Connector (legacy) (< 1 %)
- Empty Table Creator (< 1 %)
- Cell To PMML (< 1 %)
- Column Expressions (< 1 %) Streamable
- Table to PDF (< 1 %)
XLS Reader(< 1 %) DeprecatedXLS Sheet Appender(< 1 %) DeprecatedExcel Reader (XLS)(< 1 %) StreamableDeprecated- Column Filter (< 1 %)
- Boolean Input (< 1 %)
- Double Input (< 1 %)
- File Chooser (< 1 %)
- String Input (< 1 %)
- Single Selection (< 1 %)
- Scatter Plot (< 1 %)
- Table to JSON (< 1 %)
- MongoDB Reader (< 1 %)
- Parameter Optimization Loop Start (< 1 %)
- Python Script (1⇒1) (< 1 %)
- Python Edit Variable (< 1 %)
- R To R (< 1 %)
- GET Request (< 1 %) Streamable
- Date/Time Shift (legacy) (< 1 %)
- Moving Aggregation (< 1 %)
- XPath (< 1 %) Streamable
Table to HTML String(< 1 %) StreamableDeprecated- Show all 111 recommendations
Workflows
00_Download_Dataset (KNIME Hub) - 00_Guided_Labeling_for_Document_Classification_(legacy) (KNIME Hub)
- 01_Accessing_Transforming_and_Modeling_Time_Series (KNIME Hub)
- 01_Additional_Visualizations (KNIME Hub)
- 01_Compute_LIMEs (KNIME Hub)
- 01_Compute_LIMEs (KNIME Hub)
- 01_Emil_the_TeacherBot (KNIME Hub)
- 01_Guided_Analytics_for_ML_Automation (KNIME Hub)
- 01_Guided_Labeling_for_Document_Classification (KNIME Hub)
- 01_Guided_Labeling_for_Document_Classification (KNIME Hub)
- 01_Guided_Visualization (KNIME Hub)
- 01_Guided_Visualization (KNIME Hub)
- 01_Image_ReStyling_Webportal (KNIME Hub)
- 01_Load_Clean_and_Explore (KNIME Hub)
- 01_Model_Deployment_file_to_database_scheduling (KNIME Hub)
- 01_Model_Factory (KNIME Hub)
- 01_Modelling_Workflow (KNIME Hub)
- 01_SDS phrases extraction (KNIME Hub)
- 02_Accounting Management (KNIME Hub)
- 02_Active_Learning_for_Document_Classification (KNIME Hub)
- 02_Fraud_Detection_Deployment (KNIME Hub)
- 02_Guided_Exploration (KNIME Hub)
- 02_Guided_Exploration (KNIME Hub)
- 02_Inspect_and_Remove_Seasonality (KNIME Hub)
- 02_Inspect_and_Remove_Seasonality (KNIME Hub)
- 02_LSTM_Network (KNIME Hub)
- 02_Scaling_Analytics_w_BigData (KNIME Hub)
- 03_ARIMA_Models (KNIME Hub)
- 03_ARIMA_Models (KNIME Hub)
- 03_ARIMA_Models (KNIME Hub)
- 03_Guided_Visualization_and_Exploration (KNIME Hub)
- 03_Model_Deployment_as_REST_API (KNIME Hub)
- 03_Model_Deployment_as_REST_API (KNIME Hub)
- 04_Machine_Learning (KNIME Hub)
- 04_Machine_Learning (KNIME Hub)
- 04_Model_Deployment_dashboard_WebPortal (KNIME Hub)
- 04_Model_Deployment_dashboard_WebPortal (KNIME Hub)
- 04_Read_file_send_as_EMail (KNIME Hub)
- 05_Model_Deployment_with_report_and_email (KNIME Hub)
- 05_Model_Deployment_with_report_and_email (KNIME Hub)
- 05_Model_Optimization (KNIME Hub)
- 05_Model_Optimization (KNIME Hub)
- 05_SAS_SPSS_MATLAB_meet_S3 (KNIME Hub)
- 05_SAS_SPSS_MATLAB_meet_S3 (KNIME Hub)
- 06_Isolation_Forest_for_Fraud_Detection_Deployment (KNIME Hub)
- 07_Log_Parser_and_Usage_Reporting_on_KNIME_Server (KNIME Hub)
- 07_Log_Parser_and_Usage_Reporting_on_KNIME_Server (KNIME Hub)
- 08_LSTM_Network (KNIME Hub)
- 08_Model_Optimization_and_Selection (KNIME Hub)
- 09_Schedule_Jobs_via_WebPortal_on_KNIME_Server (KNIME Hub)
- 09_Schedule_Jobs_via_WebPortal_on_KNIME_Server (KNIME Hub)
- 59_Cohort_Analysis (KNIME Hub)
AutoML (KNIME Hub) - Binding site 1-2 (KNIME Hub)
- Binding site 1-2 (Schrödinger)
- Brute_Force_Feature_Selection (KNIME Hub)
- COVID Country Tracker v04072020 (KNIME Hub)
- COVID-19_Live_Visualization (KNIME Hub)
- Create Local or Spark Context (KNIME Hub)
- Data_Preparation (KNIME Hub)
- Database analysis 1-2 (KNIME Hub)
- Database analysis 1-2 (Schrödinger)
- DataCleaning_WebPortal (KNIME Hub)
- DataCleaning_WebPortal (KNIME Hub)
- DB PMML DataDictionary Column Filter (KNIME Hub)
- Docking 1-2 (KNIME Hub)
- Docking 1-2 (Schrödinger)
- Duplicate_Switching_Example (KNIME Hub)
- Embed Data Into Workflow (KNIME Hub)
- FEP analysis 1 (KNIME Hub)
- FEP analysis 1 (Schrödinger)
- Grid generation 1-3 (KNIME Hub)
- Grid generation 1-3 (KNIME Hub)
- Grid generation 1-3 (Schrödinger)
- Guided_Analytics_with_Shared_Components (KNIME Hub)
- h2o_gbm (KNIME Hub)
- h2o_glm (KNIME Hub)
- h2o_naive (KNIME Hub)
- h2o_rndfor (KNIME Hub)
- Isolation_Forest_for_Fraud_Detection_Deployment (KNIME Hub)
- Ligand alignment MD refinement 1 (KNIME Hub)
- Ligand alignment MD refinement 1 (KNIME Hub)
- Ligand alignment MD refinement 1 (Schrödinger)
- Ligand alignment MD refinement 1-2 (Schrödinger)
- Ligand alignment MD refinement 1-2 (KNIME Hub)
- Ligand alignment MD refinement 2 (KNIME Hub)
- LiveDesign 1-3 (KNIME Hub)
- LiveDesign 1-3 (Schrödinger)
- Log Parser and Usage Reporting (KNIME Hub)
- LSTM_TS_Predictions (KNIME Hub)
- Model building 1-3 (KNIME Hub)
- Model building 1-3 (Schrödinger)
- Model switch (KNIME Hub)
- Model_Factory (KNIME Hub)
- Molecular Properties Filter (KNIME Hub)
- Molecular Properties Filter example workflow (KNIME Hub)
- Prediction_dec_tree (KNIME Hub)
- Prediction_h2o_gbm (KNIME Hub)
- Prediction_h2o_glm (KNIME Hub)
- Prediction_h2o_naive (KNIME Hub)
- Prediction_h2o_rndfor (KNIME Hub)
- Prediction_log_regression (KNIME Hub)
- Prediction_mlp (KNIME Hub)
- Prediction_svm (KNIME Hub)
- Prediction_xgboost (KNIME Hub)
- R group enumeration (KNIME Hub)
- R group enumeration (KNIME Hub)
- R group enumeration (Schrödinger)
- Reactive protein residues (KNIME Hub)
- Reactive protein residues (KNIME Hub)
- Reactive protein residues (Schrödinger)
- Sequence converter (KNIME Hub)
- Sequence converter (Schrödinger)
- Taxi_Visualization (KNIME Hub)
- Testing (Schrödinger)
- Testing (KNIME Hub)
- Timestamp Alignment (KNIME Hub)
- Timestamp Alignment (KNIME Hub)
- Virtual screening 1-3 (KNIME Hub)
- Virtual screening 1-3 (KNIME Hub)
- Virtual screening 1-3 (Schrödinger)
- Webportal_Update (KNIME Hub)
- Show all 122 workflows
Installation
To use this node in KNIME, install KNIME Base nodes from the following update site:
KNIME 4.2
A zipped version of the software site can be downloaded here. Read our FAQs to get instructions about how to install nodes from a zipped update site.
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