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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description>This template is a self-contained example showing how to use ExecuteScript (with Groovy) to perform a classic "Word Count" of an incoming flow file (namely The Tell-Tale Heart by Edgar Allan Poe). The output file consists of lines, each containing a word in the corpus and its frequency of occurrence.</description><name>TellTaleHeartGroovy</name><snippet><connections><id>de8c38dd-af7b-4c23-8480-4b83a11635c7</id><parentGroupId>faeccde3-60c2-47af-86c7-3492795ef534</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>faeccde3-60c2-47af-86c7-3492795ef534</groupId><id>388f347c-7e84-44ef-aaa3-ef42565a7cc6</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>success</selectedRelationships><source><groupId>faeccde3-60c2-47af-86c7 |
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@Grab(group='com.hazelcast', module='hazelcast', version='3.6') | |
@Grab(group='com.hazelcast', module='hazelcast-client', version='3.6') | |
import com.hazelcast.client.* | |
import com.hazelcast.client.config.* | |
import com.hazelcast.core.* | |
ClientConfig clientConfig = new ClientConfig(); | |
clientConfig.getGroupConfig().setName("dev").setPassword("dev-pass"); | |
clientConfig.getNetworkConfig().addAddress("192.168.99.100", "192.168.99.100:32780"); |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description>A sample template to route on filename to build a URL</description><name>JeffAustralia</name><snippet><connections><id>dec6cc8b-14ca-43f2-95ba-17463d587eb2</id><parentGroupId>f813e419-f52e-40c2-8061-79ae1d7d880f</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>f813e419-f52e-40c2-8061-79ae1d7d880f</groupId><id>a6d90e5e-dfe6-4c0a-a558-4283c3bd95f0</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>fileA</selectedRelationships><source><groupId>f813e419-f52e-40c2-8061-79ae1d7d880f</groupId><id>43c814e3-848e-4a04-979e-5f37d3bd5f4b</id><type>PROCESSOR</type></source><zIndex>0</zIndex></connections><connections><id>1bd7760e-424d-4c93-84da-e8e0ffb8facc</id><parentGroupId>f813e419-f52e-40c2-8061-79ae1d7d880f</parentGroupId><backPress |
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@Grab('org.kohsuke:github-api:1.73') | |
import org.kohsuke.github.* | |
def slurper = new groovy.json.JsonSlurper() | |
def PR_REGEX = /([nN][iI][fF][iI][ -][0-9]+).*/ | |
def g = GitHub.connectUsingOAuth('github.com', System.getenv('GITHUB_TOKEN')) | |
def pulls = g.getRepository('apache/nifi').getPullRequests(GHIssueState.OPEN) | |
pulls.each { pr -> | |
def m = pr.title =~ PR_REGEX |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description>This template uses SplitJson to split a JSON file by child array elements, then routes on certain values of the child's "phone" value.</description><name>IterateJsonArray</name><snippet><processGroups><id>b45c83bf-615d-4a54-8b92-cc4b9ccb730d</id><parentGroupId>624b3e60-03e2-439f-8e68-9cdb2fc1e404</parentGroupId><position><x>-85.208424518031</x><y>-104.95458750260781</y></position><activeRemotePortCount>0</activeRemotePortCount><comments></comments><contents><connections><id>afffc4df-44e5-4ef9-b188-cefc622afc07</id><parentGroupId>b45c83bf-615d-4a54-8b92-cc4b9ccb730d</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>b45c83bf-615d-4a54-8b92-cc4b9ccb730d</groupId><id>4e82ff05-5ad6-43a8-a2ce-270c0fc1bc9a</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex>< |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description></description><name>ParseJsonInAttribute</name><snippet><connections><id>906cd6cd-343f-45d6-8e08-6306ef089773</id><parentGroupId>08ae6f8e-de9b-4014-ab98-2c415b5e9d2a</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>08ae6f8e-de9b-4014-ab98-2c415b5e9d2a</groupId><id>3382f8b0-d0b0-41c6-bca7-8bd546a6be82</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>success</selectedRelationships><source><groupId>08ae6f8e-de9b-4014-ab98-2c415b5e9d2a</groupId><id>77b91aad-5389-4bdf-876b-5015faccfe9c</id><type>PROCESSOR</type></source><zIndex>0</zIndex></connections><connections><id>5b1376bf-e6d6-456c-9e83-444f554b25d8</id><parentGroupId>08ae6f8e-de9b-4014-ab98-2c415b5e9d2a</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataS |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description></description><name>TestConvertAvroToOrc2</name><snippet><connections><id>02fe77fc-2c72-461d-ba76-cd7ccfe4c0ec</id><parentGroupId>9007185c-8178-4606-81a5-b6a4e930ec8b</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>9007185c-8178-4606-81a5-b6a4e930ec8b</groupId><id>17ad09e6-4c2e-4740-a046-f02433fbedc9</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>success</selectedRelationships><source><groupId>9007185c-8178-4606-81a5-b6a4e930ec8b</groupId><id>4a2f1555-737d-4d30-a717-75f8cbdb4d61</id><type>PROCESSOR</type></source><zIndex>0</zIndex></connections><connections><id>eba4991d-881b-4c1c-a4bc-5cc25b02e79d</id><parentGroupId>9007185c-8178-4606-81a5-b6a4e930ec8b</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureData |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template encoding-version="1.0"><description></description><groupId>6399b847-98bb-4646-baa1-65523b25a7f1</groupId><name>JsonToCQL</name><snippet><connections><id>945cd514-84c9-4d54-8335-315d4dfd79e7</id><parentGroupId>6399b847-98bb-4646-baa1-65523b25a7f1</parentGroupId><backPressureDataSizeThreshold>1 GB</backPressureDataSizeThreshold><backPressureObjectThreshold>10000</backPressureObjectThreshold><destination><groupId>6399b847-98bb-4646-baa1-65523b25a7f1</groupId><id>28324be6-b7ca-4a88-95d4-e7eff0e62eb2</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>success</selectedRelationships><source><groupId>6399b847-98bb-4646-baa1-65523b25a7f1</groupId><id>3293abf1-1b9d-4973-b51d-4f2e6899f18d</id><type>PROCESSOR</type></source><zIndex>0</zIndex></connections><connections><id>a795d09a-5222-41b7-a155-d899f9254f2e</id><parentGroupId>6399b847-98bb-4646-baa1-65523b25a7f |
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<?xml version="1.0" encoding="UTF-8" standalone="yes"?><template><description>This template uses Hazelcast JARs in ExecuteScript processors (both in Groovy and Javascript) to generate a flow file from a Hazelcast map.</description><name>ScriptedHazelcastClient</name><snippet><connections><id>840610c3-ce4a-413d-8f54-40ea0a1f1f90</id><parentGroupId>d657baec-19f5-4689-ab5f-f72604055136</parentGroupId><backPressureDataSizeThreshold>0 MB</backPressureDataSizeThreshold><backPressureObjectThreshold>0</backPressureObjectThreshold><destination><groupId>d657baec-19f5-4689-ab5f-f72604055136</groupId><id>91c52bb1-ba4d-4bce-9d41-e49dd4f03851</id><type>PROCESSOR</type></destination><flowFileExpiration>0 sec</flowFileExpiration><labelIndex>1</labelIndex><name></name><selectedRelationships>success</selectedRelationships><source><groupId>d657baec-19f5-4689-ab5f-f72604055136</groupId><id>87256841-565d-4559-bb6b-72fd9d6d014b</id><type>PROCESSOR</type></source><zIndex>0</zIndex></connections><connections><id>f6c2e6aa-f4f7-4a80-9 |
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<?xml version="1.0" ?> | |
<template encoding-version="1.0"> | |
<description>This template shows how to use ExecuteScript with Groovy and Sshoogr to execute commands (from an incoming flow file) on a remote system (via SSH). | |
To use, replace the values in ExecuteScript for your remote system (sshHostname, sshUsername, sshPassword, sshPort), and replace the GenerateFlowFile processor (and the associated ReplaceText processor) with your flow that produces files with lines of commands to run remotely.</description> | |
<groupId>71f9bd06-0156-1000-783e-41e29ccff3d8</groupId> | |
<name>ExecuteScriptRemoteCommands</name> | |
<snippet> | |
<connections> | |
<id>7492dda1-0156-1000-0000-000000000000</id> |