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Call Workflow Service

Workflow AbstractionWorkflow Invocation
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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 local or remote. If the workflow is remote, e.g., on the KNIME Hub, the execution will also be remote. When the workflow is local, the execution will be performed on the machine on which the Analytics Platform is running. In contrast to the Workflow Executor node, this node does not require the workflow to be read using a Workflow Reader 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

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

Extension

The Call Workflow Service node is part of this extension:

Related workflows & nodes