Call Workflow Service

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".

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