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[HUDI-6112] Fix bugs in Doc Generation tool
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- Add Config Param in Description
- Styling changes to fix table size and toc on side for better navigation
- Bug fix in basic configs page to merge spark datasource related read and write configs
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bhasudha committed Aug 1, 2023
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2 changes: 1 addition & 1 deletion website/docs/basic_configurations.md
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Expand Up @@ -11,7 +11,7 @@ This page covers the basic configurations you may use to write/read Hudi tables.
- [**Flink Sql Configs**](#FLINK_SQL): These configs control the Hudi Flink SQL source/sink connectors, providing ability to define record keys, pick out the write operation, specify how to merge records, enable/disable asynchronous compaction or choosing query type to read.
- [**Write Client Configs**](#WRITE_CLIENT): Internally, the Hudi datasource uses a RDD based HoodieWriteClient API to actually perform writes to storage. These configs provide deep control over lower level aspects like file sizing, compression, parallelism, compaction, write schema, cleaning etc. Although Hudi provides sane defaults, from time-time these configs may need to be tweaked to optimize for specific workloads.
- [**Metastore and Catalog Sync Configs**](#META_SYNC): Configurations used by the Hudi to sync metadata to external metastores and catalogs.
- [**Metrics Configs**](#METRICS): These set of configs are used to enable monitoring and reporting of key Hudi stats and metrics.
- [**Metrics Configs**](#METRICS): These set of configs are used to enable monitoring and reporting of keyHudi stats and metrics.
- [**Kafka Connect Configs**](#KAFKA_CONNECT): These set of configs are used for Kafka Connect Sink Connector for writing Hudi Tables
- [**Hudi Streamer Configs**](#HUDI_STREAMER): These set of configs are used for Hudi Streamer utility which provides the way to ingest from different sources such as DFS or Kafka.

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