MaxStepQ opened a new issue #724: Question. jdbc oracle URL: https://github.com/apache/incubator-hudi/issues/724 Hello! My global goal is to efficiently load increments (new records) and fields that have changed from Oracle DB to Hadoop. In all examples you are using kafka. is it possible to use this construction and will the query in oracle be efficient ? spark.read.format("jdbc").option("<connection string with credentials>").load .write.format("com.uber.hoodie").option(DataSourceWriteOptions.RECORDKEY_FIELD_OPT_KEY, "id").option(DataSourceWriteOptions.PARTITIONPATH_FIELD_OPT_KEY, "partition").option(DataSourceWriteOptions.PRECOMBINE_FIELD_OPT_KEY, "date").option(HoodieWriteConfig.TABLE_NAME, "tableName").mode(SaveMode.Append).save("hdfs:///<path to save>/") Thank you in advance !
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