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es-csvloader

Program to upload .csv files to IBM DB2 Event Store. To run: "java -jar es-csvloader.jar arguments"

License

License
Categories

Categories

CSV Data Data Formats
GroupId

GroupId

com.ibm.event
ArtifactId

ArtifactId

es-csvloader
Last Version

Last Version

1.0.0
Release Date

Release Date
Type

Type

jar
Description

Description

es-csvloader
Program to upload .csv files to IBM DB2 Event Store. To run: "java -jar es-csvloader.jar arguments"
Project URL

Project URL

https://github.com/IBMProjectEventStore/EventStore-DeveloperPreview
Source Code Management

Source Code Management

https://github.com/IBMProjectEventStore/EventStore-DeveloperPreview

Download es-csvloader

Filename Size
es-csvloader-1.0.0.pom
es-csvloader-1.0.0.jar 181 MB
es-csvloader-1.0.0-sources.jar 66 bytes
es-csvloader-1.0.0-javadoc.jar 73 bytes
Browse

How to add to project

<!-- https://jarcasting.com/artifacts/com.ibm.event/es-csvloader/ -->
<dependency>
    <groupId>com.ibm.event</groupId>
    <artifactId>es-csvloader</artifactId>
    <version>1.0.0</version>
</dependency>
// https://jarcasting.com/artifacts/com.ibm.event/es-csvloader/
implementation 'com.ibm.event:es-csvloader:1.0.0'
// https://jarcasting.com/artifacts/com.ibm.event/es-csvloader/
implementation ("com.ibm.event:es-csvloader:1.0.0")
'com.ibm.event:es-csvloader:jar:1.0.0'
<dependency org="com.ibm.event" name="es-csvloader" rev="1.0.0">
  <artifact name="es-csvloader" type="jar" />
</dependency>
@Grapes(
@Grab(group='com.ibm.event', module='es-csvloader', version='1.0.0')
)
libraryDependencies += "com.ibm.event" % "es-csvloader" % "1.0.0"
[com.ibm.event/es-csvloader "1.0.0"]

Dependencies

There are no dependencies for this project. It is a standalone project that does not depend on any other jars.

Project Modules

There are no modules declared in this project.

IBM Db2 Event Store Developer Edition

IBM® Db2 Event Store Developer Edition is an in-memory database designed for massive structured data volumes and real-time analytics built on Apache SPARK and Apache Parquet Data Format. The solution is optimized for event-driven data processing and analysis, and it can support emerging applications that are driven by events such as IoT solutions, payments, logistics and web commerce. It is flexible, scalable and can adapt quickly to your changing business needs over time.

com.ibm.event

Versions

Version
1.0.0