CASE Switch Start

This node routes its input to a selectable output port, allowing different branches of the workflow to be activated manually or using a flow variable. The input port type can be chosen when adding an input port using the “…” menu. The type can be changed by removing the input port and adding it again.

To migrate from the deprecated CASE Switch Model (Start) node, select Generic Port when creating the input port.

Input (Dynamic Inport)

Select the input port type and connect it. Only one input port can be selected at a time. If the input port is removed, all output ports are also removed.

1. Type: Petri Net
2. Type: Flow Variable
3. Type: Image
4. Type: Distance Measure
5. Type: PMML
6. Type: Sota
7. Type: Regression Tree
8. Type: Correlation
9. Type: Feature Selection Model
10. Type: Transformation
11. Type: Radial Basis Function
12. Type: Fuzzy Basis Function
13. Type: Gradient Boosting Model
14. Type: Tree Ensembles
15. Type: Outlier
16. Type: Network
17. Type: OpenNlpNerTaggerModelPortObject
18. Type: StanfordNERModelPortObject
19. Type: DocumentVectorPortObject
20. Type: VectorHashingPortObject
21. Type: Table
22. Type: XLS Formatter
23. Type: Binning Port Object
24. Type: de.mpicbg.knime.scripting.r.port.RPortType2
25. Type: Event Log
26. Type: Directly Follows Model
27. Type: Database Query
28. Type: AWS Comprehend Connection
29. Type: DB Session
30. Type: DB Data
31. Type: FilterDefinition
32. Type: File System
33. Type: Density Scorer Model
34. Type: KNFST Model
35. Type: DL4J Model
36. Type: Normalizer
37. Type: Python
38. Type: R Workspace
39. Type: Word Vector Model
40. Type: Keras Deep Learning Network
41. Type: ONNX Deep Learning Network
42. Type: TensorFlow Deep Learning Network
43. Type: H2O Context
44. Type: H2O Frame
45. Type: H2O Model
46. Type: MOJO
47. Type: KafkaConnection
48. Type: Semantic Web Connection
49. Type: Weak Label Model
50. Type: XGBoostModel
51. Type: CAIM
52. Type: Spark ML Model
53. Type: Color
54. Type: GNE SDF Port
55. Type: se.redfield.knime.neo4jextension.neo4jconnector
56. Type: Workflow Port Object
57. Type: Microsoft Credential
58. Type: KnimeConnection
59. Type: TensorFlow 2 Model
60. Type: Spark Data Legacy
61. Type: AzureConnection
62. Type: FileStorePrefixURIPort
63. Type: Google Drive
64. Type: Spark Context Legacy
65. Type: Spark Data (legacy com)
66. Type: Google Cloud Storage Connection
67. Type: Spark Model Legacy
68. Type: FileStoreReferenceURIPort
69. Type: AWSConnection
70. Type: FileStoreURIPort
71. Type: PMML Discretization
72. Type: Process Tree
73. Type: Salesforce OAuth2 Connection
74. Type: KnoxHdfsConnection
75. Type: Spark Model (legacy com)
76. Type: Spark Context (legacy com)
77. Type: Replay Result in Alignment
78. Type: H2O Driverless AI MOJO
79. Type: H2O Driverless AI Dataset Connection
80. Type: org.knime.mongodb.connection.port.MongoDBConnectionPortObject
81. Type: SeleniumFirefoxPort
82. Type: SP_Conn
83. Type: Weka 3.7 Classifier
84. Type: Weka 3.7 Cluster
85. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
86. Type: Causal Graph
87. Type: Hybrid Petri Net
88. Type: Directly Follows Msd
89. Type: se.redfield.textprocessing.nodes.port.SpacyModelPortObject
90. Type: KNIME Hub Credentials
91. Type: spaCy pipeline
92. Type: Replay Result in Alignment
93. Type: org.knime.python3.nodes.PythonConnectionPortObject
94. Type: org.knime.credentials.base.CredentialPortObject
95. Type: Report Fragment

Output (Dynamic Outport)

The output ports. They are only present and editable if an input port type was selected and always have the same type. At least two outputs are required.