Backfill Upsert Table Via Flink Apache Pinot Connector Yupeng Fu Uber

Backfill Upsert Table Via Flink Apache Pinot Connector Yupeng Fu Uber To address this challenge, we developed a flink pinot connector to generate upsert segments directly from batch data sources (e.g. hive), and thus solved the backfilling problem with the. To address this challenge, we developed a flink pinot connector to generate upsert segments directly from batch data sources (e.g. hive), and thus solved the backfilling problem with the historical data without dependency on kafka.

Backfill Upsert Table Via Flink Apache Pinot Connector Yupeng Fu Uber Manage data import data upsert and dedup stream ingestion with upsert upsert support in apache pinot. pinot provides native support of upserts during real time ingestion. there are scenarios where records need modifications, such as correcting a ride fare or updating a delivery status. The team at uber developed an apache flink® apache pinot™ connector to generate upsert segments directly from batch data sources like apache hive. why? ⬇️ because backfilling upsert tables. Flink connector to write data to pinot directly. this is useful for backfilling or bootstrapping tables, including the upsert tables. you can read more about the motivation and design in this design proposal. for more examples, please see src main java org apache pinot connector flink flinkquickstart.java. Converting a datastream into a table by upsert on keys is not natively supported but on the roadmap. meanwhile, you can emulate this behavior using an append table and a query with a user defined aggregation function.

Backfill Upsert Table Via Flink Apache Pinot Connector Yupeng Fu Uber Flink connector to write data to pinot directly. this is useful for backfilling or bootstrapping tables, including the upsert tables. you can read more about the motivation and design in this design proposal. for more examples, please see src main java org apache pinot connector flink flinkquickstart.java. Converting a datastream into a table by upsert on keys is not natively supported but on the roadmap. meanwhile, you can emulate this behavior using an append table and a query with a user defined aggregation function. The team at uber developed an apache flink® apache pinot™ connector to generate upsert segments directly from batch data sources like apache hive. why? ⬇️ because backfilling. Generate pinot segment names using pinotsinksegmentnamegenerator. create pinot segments with minimum and maximum timestamps (stored in pinotsinkglobalcommittable) and previously generated segment assigned. Ideally, we want to consolidate the streaming batch ingestion logic, and use flink for both pipelines. we propose a flink sink to pinot on top of the tablesink interfaces (flip 95) for storing batch processing results in pinot and also integrate the sink with the unified sink api (flip 143). Regardless of which framework you choose, the effect is still the same – we can upload segments directly to an upsert enabled real time pinot table. this can either be used for bootstrapping data for a new table or backfilling a date range in an existing table.