Apache Hop v1.1 User Manual
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Process files
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2022-06-11 17:33:34
Process files
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Copy Files
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Mail Validator
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Put a file with SFTP
FTP delete
MySQL Bulk File
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Add filenames to result
Neo4j Index
Delete filenames from result
Get Mail from POP
DTD Validator
Wait for SQL
Abort
XSL Transformation
Ping
Create Folder
Dummy
File Exists
Get a file with SFTP
Delete File
AS/400 Command
Put a file with FTP
Set Variables
Verify file signature with PGP
Snmp Trap
Display Msgbox info
Columns exist in a table
Write to Log
Check if Webservice is available
Telnet a host
End Repeat
XSD Validator
Checks if files exists
Neo4j Cypher Script
Success Action
Cassandra Exec Cql
Folders Compare
JavaScript
Evaluate File Metrics
Truncate Tables
File compare
Encrypt files with PGP
Check if XML file is well formed
Repeat
Write to File
Start
Http Get
Evaluate rows number in a table
Simple Evaluation
Check Db connections
Dos To Unix
Neo4j Constraint
Delay
Neo4j Check Connections
Delete Folders
Shell Action
Create File
Send Nagios check
Delete Files
Folder is Empty
Copy Or Move Files from result
Wait for file
Pipeline
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Create a Workflow
Virtual File System
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Microsoft Azure Storage
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Getting started with Apache Beam
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Pipeline Unit Tests
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Files to result
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Load file content in memory
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Clone row
JavaScript
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Split Fields
Write to log
Serialize To File
MongoDB Output
Fuzzy match
Row Flattener
De-Serialize From File
Neo4j Output
Metadata Injection
Salesforce Input
XML Output
Copy rows to result
Call DB procedure
Properties file Output
Azure Event Hubs Listener
Table Compare
SAS Input
Splunk Input
Calculator
Stream Schema Merge
Files from result
Add XML
Add Constants
Value Mapper
Metadata Input
Pipeline Executor
Coalesce
CSV File Input
Set Variables
Beam Bigtable Output
Add a checksum
Merge rows (diff)
Combination lookup/update
HTTP Post
REST Client
User Defined Java Class
Neo4j Generate CSVs
User Defined Java Expression
Filter Rows
Web services lookup
Regex Evaluation
Mapping Input
Salesforce Delete
Blocking until transforms finish
Salesforce Insert
Get ID from slave server
Beam BigQuery Input
Neo4j Graph Output
Mail Validator
Identify last row in a stream
Run SSH commands
Beam Bigtable Input
Avro File Input
Delete
Split fields to rows
Text File Output
XSD Validator
String cut
Table Output
Check if file is locked
Get SubFolder names
Beam GCP Pub/Sub : Subscribe
Fake data
Get variables
Number range
Replace in String
Avro Decode
Dummy (do nothing)
Get table names
Java Filter
Dynamic SQL row
Generate Random Value
String operations
Set field value to a constant
Add value fields changing sequence
Mail
Execute row SQL script
Unique Rows (HashSet)
Blocking transform
Select Values
Salesforce Update
Cassandra Output
Standardize Phone Number
Table Input
Cassandra Input
Execute SQL script
Injector
Beam Output
XSL Transformation
Token Replacement
Stream Lookup
Database Join
Mapping Output
Excel writer
Neo4j Split Graph
Set field Value to a field
Salesforce Upsert
Neo4j Get Logging Info
PostgreSQL Bulk Loader
MonetDB Bulk Loader
PGP decrypt stream
Memory Group By
Table Exists
Switch / Case
Beam GCP Pub/Sub : Publish
Execute Unit Tests
Get System Info
Merge Join
Edi to XML
Multiway Merge Join
XML Join
Reservoir Sampling
Email Messages Input
JSON Input
Null If
Text File Input
Check if webservice is available
Teradata Bulk Loader
Add Sequence
Closure
XML Input Stream (StAX)
Parquet File Output
Neo4j Import
SQL File Output
PGP encrypt stream
Abort
Simple Mapping
Credit card validator
JSON Output
Unique Rows
Yaml Input
Excel input
Get records from stream
Metadata structure of stream
Analytic Query
Process files
Enhanced JSON Output
Group By
Change file encoding
Join Rows
Dimension lookup/update
HTTP client
Synchronize after merge
Parquet File Input
Azure Event Hubs Writer
Data Grid
Append Streams
Kafka Producer
Sample Rows
Neo4j Cypher
Delay row
File exists
Update
Database Lookup
Workflow Executor
Kafka Consumer
Execute a process
Detect Empty Stream
Get Rows from Result
Beam BigQuery Output
MongoDB Input
Column exists
Sorted Merge
Get filenames
Get Data From XML
Beam Input
Get files rowcount
Row Denormaliser
LDAP Input
LDAP Output
Beam Kafka Produce
Row Normaliser
Sort Rows
Row Generator
Properties file Input
Insert / Update
Apache Tika
Concat Fields
Zip file
Beam Window
Run, Preview and Debug a Pipeline
Metadata Injection
Pipeline Editor
Create a Pipeline
Error Handling
Pipeline Run Configurations
Native Local
Native Remote
Beam Google DataFlow
Beam Flink
Beam Spark
Beam Direct
Best Practices
Getting Started
Pipelines
What is Hop
Hop Gui Overview
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Next Steps
Metadata Types
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Data Set
Hop Server
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Beam File Definition
Relational Database Connection
Pipeline Log
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Cassandra Connection
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Pipeline Probe
Workflow Log
Splunk Connection
Pipeline Unit Test
Variables
Pro Tips
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