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Call Workflow Service (deprecated)

Workflow AbstractionWorkflow Invocation

This node has been deprecated and its use is not recommended. Please search for updated nodes instead.

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Calls another workflow and obtains the results for further processing in this workflow. The workflow can receive inputs via Workflow Service Input nodes and return outputs using Workflow Service Output nodes.

Each Workflow Service Input node in the workflow to be called will create an input port on this node when finishing the configuration of the Call Workflow Service node. Similarly, each Workflow Service Output node will create an output port on the node.

The called workflow can be located on a KNIME Server or in the Local Workspace. If the workflow is located on a KNIME Server, the execution will take place on the server. In contrast, when using the Workflow Executor node, the execution will always be performed in the workflow containing the Workflow Executor node.

The difference between this node and the Call Workflow (Table Based) node is the set of supported workflow input and output nodes. This node supports the Workflow Service Input and Workflow Service Output nodes, which support arbitrary port types and are more efficient than the various Container Input and Container Output nodes. The container input and output nodes on the other hand expect and produce data in a format that can easily be produced by third-party software, whereas Workflow Service Input and Workflow Service Output nodes are designed exclusively to be used by other KNIME workflows.

To define which Workflow Service Input node receives data from which of this node's input ports, each input node defines a parameter identifier. The parameter identifier is supposed to be unique, but it might happen that a workflow has multiple input nodes defining the same parameter name. In this case, KNIME will make the parameter names unique by appending the input node's node ID to the parameter name, e.g., "input-table" becomes "input-table-7".

Node details

Input ports
  1. Type: File System
    KNIME server connection
    Optional connection to a KNIME Server where the workflow to be executed is located. If connected, the execution of the workflow will be performed on that server.
Inputs (Dynamic Inport)
One output port for each Workflow Service Input node in the workflow to be executed. The ports are automatically created when finishing the configuration of the node.
  1. Type: Petri Net
  2. Type: Flow Variable
  3. Type: Image
  4. Type: Distance Measure
  5. Type: PMML
  6. Type: Naive Bayes
  7. Type: Cluster Tree
  8. Type: Sota
  9. Type: Regression Tree
  10. Type: Regression Tree
  11. Type: PortObject
  12. Type: Feature Elimination
  13. Type: Correlation
  14. Type: Feature Selection Model
  15. Type: Transformation
  16. Type: Radial Basis Function
  17. Type: Rowset Filter
  18. Type: PCA
  19. Type: Fuzzy Basis Function
  20. Type: LibSVM
  21. Type: Tree Ensembles
  22. Type: Gradient Boosting Model
  23. Type: Tree Ensembles
  24. Type: Weka 3.6 Classifier
  25. Type: Weka 3.6 Cluster
  26. Type: Weka 3.7 Classifier
  27. Type: Weka 3.7 Cluster
  28. Type: Weka Classifier
  29. Type: Weka Cluster
  30. Type: Outlier
  31. Type: Network
  32. Type: OpenNlpNerTaggerModelPortObject
  33. Type: StanfordNERModelPortObject
  34. Type: DocumentVectorPortObject
  35. Type: VectorHashingPortObject
  36. Type: JChem Database Connection
  37. Type: Fingerprint Bayes
  38. Type: URI Object
  39. Type: Table
  40. Type: Arx Config
  41. Type: XLS Formatter
  42. Type: Binning Port Object
  43. Type: de.mpicbg.knime.scripting.r.port.RPortType2
  44. Type: Twitter
  45. Type: URI Object
  46. Type: Event Log
  47. Type: Directly Follows Model
  48. Type: Database Query
  49. Type: Database Connection
  50. Type: AWS Comprehend Connection
  51. Type: DB Session
  52. Type: DB Data
  53. Type: Google API
  54. Type: FilterDefinition
  55. Type: File System
  56. Type: Density Scorer Model
  57. Type: KNFST Model
  58. Type: Arima
  59. Type: DLNetworkPortObject
  60. Type: DL4J Model
  61. Type: Spark Context
  62. Type: Spark Data
  63. Type: Normalizer
  64. Type: Python
  65. Type: R Workspace
  66. Type: Remote Connection
  67. Type: Word Vector Model
  68. Type: BPMN Model
  69. Type: Word Vector Model (deprecated)
  70. Type: Keras Deep Learning Network
  71. Type: ONNX Deep Learning Network
  72. Type: TensorFlow Deep Learning Network
  73. Type: DLPythonNetworkPortObject
  74. Type: Google Sheets
  75. Type: H2O Context
  76. Type: H2O Frame
  77. Type: H2O Model
  78. Type: MOJO
  79. Type: Lucene
  80. Type: KafkaConnection
  81. Type: Compiled PMML
  82. Type: Neighbourgram
  83. Type: Universe
  84. Type: OPTICS Clustering Port
  85. Type: Semantic Web Connection
  86. Type: Weak Label Model
  87. Type: XGBoostModel
  88. Type: PMML Preprocessing
  89. Type: CAIM
  90. Type: Python
  91. Type: Python (deprecated)
  92. Type: Google Analytics
  93. Type: Large Filestore
  94. Type: Spark MLlib Model
  95. Type: Spark ML Model
  96. Type: Color
  97. Type: Shape
  98. Type: Size
  99. Type: GNE SDF Port
  100. Type: se.redfield.knime.neo4jextension.neo4jconnector
  101. Type: Workflow Port Object
  102. Type: Microsoft Credential
  103. Type: KnimeConnection
  104. Type: TensorFlow 2 Model
  105. Type: Spark Data Legacy
  106. Type: AzureConnection
  107. Type: FileStorePrefixURIPort
  108. Type: Google Drive
  109. Type: Inactive branch
  110. Type: Keras Deep Learning Network
  111. Type: Spark Context Legacy
  112. Type: Spark Data (legacy com)
  113. Type: Google Cloud Storage Connection
  114. Type: Spark Model Legacy
  115. Type: FileStoreReferenceURIPort
  116. Type: AWSConnection
  117. Type: FileStoreURIPort
  118. Type: PMML Discretization
  119. Type: URIPortObject managed by FileStore
  120. Type: Process Tree
  121. Type: Salesforce OAuth2 Connection
  122. Type: KnoxHdfsConnection
  123. Type: Spark Model (legacy com)
  124. Type: Keras Deep Learning Network
  125. Type: Spark Context (legacy com)
  126. Type: Replay Result in Alignment
  127. Type: RPortObject
  128. Type: PDB Advanced Query Port
  129. Type: org.knime.mongodb.connection.port.MongoDBConnectionPortObject
  130. Type: SeleniumFirefoxPort
  131. Type: SP_Conn
  132. Type: Weka 3.7 Classifier
  133. Type: Weka 3.7 Cluster
  134. Type: Weka 3.7 Classifier
  135. Type: Weka 3.7 Cluster
  136. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
  137. Type: Causal Graph
  138. Type: Hybrid Petri Net
  139. Type: Directly Follows Msd
  140. Type: spaCy pipeline
  141. Type: se.redfield.textprocessing.nodes.port.SpacyModelPortObject
  142. Type: KNIME Hub Credentials
  143. Type: spaCy pipeline
  144. Type: Replay Result in Alignment
  145. Type: org.knime.python3.nodes.PythonConnectionPortObject
  146. Type: Report Fragment Implementation
  147. Type: Google Analytics
  148. Type: org.knime.credentials.base.CredentialPortObject
  149. Type: Report Fragment
  150. Type: AbstractHubAuthenticationPortObject
  151. Type: FSK object
  152. Type: FSK object
  153. Type: FSK object
  154. Type: FSK object
  155. Type: FSK object
  156. Type: PCML PortObject
  157. Type: Email Session
  158. Type: Combined FSK object
  159. Type: Combined FSK object
  160. Type: Combined FSK object
  161. Type: Databricks Workspace Connection
  162. Type: se.redfield.knime.memgraph.memgraphconnector
  163. Type: Microsoft Fabric
Outputs (Dynamic Outport)
One output port for each Workflow Service Output node in the workflow to be executed. The ports are automatically created when finishing the configuration of the node.
  1. Type: Petri Net
  2. Type: Flow Variable
  3. Type: Image
  4. Type: Distance Measure
  5. Type: PMML
  6. Type: Naive Bayes
  7. Type: Cluster Tree
  8. Type: Sota
  9. Type: Regression Tree
  10. Type: Regression Tree
  11. Type: PortObject
  12. Type: Feature Elimination
  13. Type: Correlation
  14. Type: Feature Selection Model
  15. Type: Transformation
  16. Type: Radial Basis Function
  17. Type: Rowset Filter
  18. Type: PCA
  19. Type: Fuzzy Basis Function
  20. Type: LibSVM
  21. Type: Tree Ensembles
  22. Type: Gradient Boosting Model
  23. Type: Tree Ensembles
  24. Type: Weka 3.6 Classifier
  25. Type: Weka 3.6 Cluster
  26. Type: Weka 3.7 Classifier
  27. Type: Weka 3.7 Cluster
  28. Type: Weka Classifier
  29. Type: Weka Cluster
  30. Type: Outlier
  31. Type: Network
  32. Type: OpenNlpNerTaggerModelPortObject
  33. Type: StanfordNERModelPortObject
  34. Type: DocumentVectorPortObject
  35. Type: VectorHashingPortObject
  36. Type: JChem Database Connection
  37. Type: Fingerprint Bayes
  38. Type: URI Object
  39. Type: Table
  40. Type: Arx Config
  41. Type: XLS Formatter
  42. Type: Binning Port Object
  43. Type: de.mpicbg.knime.scripting.r.port.RPortType2
  44. Type: Twitter
  45. Type: URI Object
  46. Type: Event Log
  47. Type: Directly Follows Model
  48. Type: Database Query
  49. Type: Database Connection
  50. Type: AWS Comprehend Connection
  51. Type: DB Session
  52. Type: DB Data
  53. Type: Google API
  54. Type: FilterDefinition
  55. Type: File System
  56. Type: Density Scorer Model
  57. Type: KNFST Model
  58. Type: Arima
  59. Type: DLNetworkPortObject
  60. Type: DL4J Model
  61. Type: Spark Context
  62. Type: Spark Data
  63. Type: Normalizer
  64. Type: Python
  65. Type: R Workspace
  66. Type: Remote Connection
  67. Type: Word Vector Model
  68. Type: BPMN Model
  69. Type: Word Vector Model (deprecated)
  70. Type: Keras Deep Learning Network
  71. Type: ONNX Deep Learning Network
  72. Type: TensorFlow Deep Learning Network
  73. Type: DLPythonNetworkPortObject
  74. Type: Google Sheets
  75. Type: H2O Context
  76. Type: H2O Frame
  77. Type: H2O Model
  78. Type: MOJO
  79. Type: Lucene
  80. Type: KafkaConnection
  81. Type: Compiled PMML
  82. Type: Neighbourgram
  83. Type: Universe
  84. Type: OPTICS Clustering Port
  85. Type: Semantic Web Connection
  86. Type: Weak Label Model
  87. Type: XGBoostModel
  88. Type: PMML Preprocessing
  89. Type: CAIM
  90. Type: Python
  91. Type: Python (deprecated)
  92. Type: Google Analytics
  93. Type: Large Filestore
  94. Type: Spark MLlib Model
  95. Type: Spark ML Model
  96. Type: Color
  97. Type: Shape
  98. Type: Size
  99. Type: GNE SDF Port
  100. Type: se.redfield.knime.neo4jextension.neo4jconnector
  101. Type: Workflow Port Object
  102. Type: Microsoft Credential
  103. Type: KnimeConnection
  104. Type: TensorFlow 2 Model
  105. Type: Spark Data Legacy
  106. Type: AzureConnection
  107. Type: FileStorePrefixURIPort
  108. Type: Google Drive
  109. Type: Inactive branch
  110. Type: Keras Deep Learning Network
  111. Type: Spark Context Legacy
  112. Type: Spark Data (legacy com)
  113. Type: Google Cloud Storage Connection
  114. Type: Spark Model Legacy
  115. Type: FileStoreReferenceURIPort
  116. Type: AWSConnection
  117. Type: FileStoreURIPort
  118. Type: PMML Discretization
  119. Type: URIPortObject managed by FileStore
  120. Type: Process Tree
  121. Type: Salesforce OAuth2 Connection
  122. Type: KnoxHdfsConnection
  123. Type: Spark Model (legacy com)
  124. Type: Keras Deep Learning Network
  125. Type: Spark Context (legacy com)
  126. Type: Replay Result in Alignment
  127. Type: RPortObject
  128. Type: PDB Advanced Query Port
  129. Type: org.knime.mongodb.connection.port.MongoDBConnectionPortObject
  130. Type: SeleniumFirefoxPort
  131. Type: SP_Conn
  132. Type: Weka 3.7 Classifier
  133. Type: Weka 3.7 Cluster
  134. Type: Weka 3.7 Classifier
  135. Type: Weka 3.7 Cluster
  136. Type: org.knime.python3.nodes.PythonBinaryBlobFileStorePortObject
  137. Type: Causal Graph
  138. Type: Hybrid Petri Net
  139. Type: Directly Follows Msd
  140. Type: spaCy pipeline
  141. Type: se.redfield.textprocessing.nodes.port.SpacyModelPortObject
  142. Type: KNIME Hub Credentials
  143. Type: spaCy pipeline
  144. Type: Replay Result in Alignment
  145. Type: org.knime.python3.nodes.PythonConnectionPortObject
  146. Type: Report Fragment Implementation
  147. Type: Google Analytics
  148. Type: org.knime.credentials.base.CredentialPortObject
  149. Type: Report Fragment
  150. Type: AbstractHubAuthenticationPortObject
  151. Type: FSK object
  152. Type: FSK object
  153. Type: FSK object
  154. Type: FSK object
  155. Type: FSK object
  156. Type: PCML PortObject
  157. Type: Email Session
  158. Type: Combined FSK object
  159. Type: Combined FSK object
  160. Type: Combined FSK object
  161. Type: Databricks Workspace Connection
  162. Type: se.redfield.knime.memgraph.memgraphconnector
  163. Type: Microsoft Fabric

Extension

The Call Workflow Service (deprecated) node is part of this extension: