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This repository has been archived by the owner on Feb 27, 2023. It is now read-only.

Releases: marklogic-community/marklogic-spring-batch

v1.7.0

10 Feb 22:49
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1.7 issues

  • Added AvroItemReader
  • Fixed bug regarding configuration of mlJobRepo

v1.6.0

26 Jan 03:53
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Closed Issues

Switch to use logback logging

v1.5.0

16 Jan 19:35
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1.5.0 issues

  • Update to latest Spring libraries
  • Add XccItemWriter
  • Add TikaParserItemProcessor
  • Add PMD static code analyzer
  • Create new file subproject
  • Remove infrastructure subproject and add those classes to core

v1.4.2

04 Jan 18:40
be881d2
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v1.4.1

14 Dec 16:43
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1.4.1 Issues

  • Update the DataHubItemWriter to work with Data Hub 2.0.2
  • Add capability to pass variable number of parameters to the ServerTransform

v1.4.0

06 Dec 19:46
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1.4.0 Issues

  • Added MarkLogicBatchConfiguration and MarkLogicConfiguration spring configuration files for connecting to target database and MarkLogic Job Repo.
  • BatchConfiguration now only needs a mlJobRepo databaseClientProvider
  • MarkLogicItemWriter optionally executes over XCC
  • New HTTP component that offers HTTP JSON and HTTP XML ItemReaders
  • New RDBMS component that offers the AllTablesItemReader, reads every row from a RDBMS and can transform into a xml or json document
  • Pass a group parameter to the mlJobRepo deployer

v1.3.0

09 Nov 04:41
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1.3.0 issues

  • Increased the performance and readability of the MarkLogicJobRepository
  • Simplified the samples directory - migrating other jobs to a new project
  • Add chunk_size and thread_count for CommandLineJobRunner for each job

v.1.2.0

17 Oct 19:46
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1.2.0 Closed Issues

Upgrade libraries for java-client-api, ml-gradle, Spring Batch, ml-java-client-util

v1.1.0

15 Aug 19:44
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1.1.0 milestone issues

  • Allow the YourJob sample to increment the job identification between executions
  • Make enhancements to CommandLineJobRunner including additional tests

v1.0.1

02 Aug 18:49
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1.0.1 Release

  • Enhanced version of the Spring Batch CommandLineJobRunner
  • The MarkLogicItemWriter uses DMSDK (MarkLogic 9 feature) to write data
  • Add separate program to create a MarkLogicJobRepository
  • Added a DataHubItemWriter which will write directly to a MarkLogic DataHub
  • Configuration much easier through the MarkLogicConfiguration class
  • Cleaned up samples
  • Cleaned up documentation