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Releases: marklogic-community/marklogic-spring-batch
Releases · marklogic-community/marklogic-spring-batch
v1.7.0
- Added AvroItemReader
- Fixed bug regarding configuration of mlJobRepo
v1.6.0
Switch to use logback logging
v1.5.0
- 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
v1.4.1
- 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
- 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
- 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
Upgrade libraries for java-client-api, ml-gradle, Spring Batch, ml-java-client-util
v1.1.0
- Allow the YourJob sample to increment the job identification between executions
- Make enhancements to CommandLineJobRunner including additional tests
v1.0.1
- 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