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内容由Brian Olsen and Trino Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian Olsen and Trino Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal
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41: Trino puts on its Hudi

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Manage episode 347235258 series 2796878
内容由Brian Olsen and Trino Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian Olsen and Trino Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Trino's initial use case was around replacing the Apache Hive runtime. As data lakes grew into prominence, it became clear that having a faster query engine didn't solve all problems. The Hive model itself was a huge bottleneck and didn't provide features that companies needed akin to data warehouses and databases. Apache Hudi is a new table format created out of Uber that aims to address many of these issues and usher in a new generation of data lake.

Tune in as we speak to the Trino Hudi connector contributor Sagar Sumit and Grace Lu who uses Trino and Hudi at Robinhood to discuss the new Hudi connector and future plans!

- Intro Music: 0:00

- Intro: 0:32

- Releases: 14:43

- Concept of the episode: Intro to Hudi and the Hudi connector: 22:29

- Concept of the episode: Merge on read and copy on write tables: 28:28

- Concept of the episode: Hudi metadata table: 39:24

- Concept of the episode: Hudi data layout: 46:39

- Concept of the episode: Robinhood Trino and Hudi use cases: 51:12

- Concept of the episode: Current state and roadmap for the Hudi connector: 1:03:15

- Pull request of the episode: PR 14445: Fault-tolerant execution for PostgreSQL and MySQL connectors: 1:08:14

- Demo of the episode: Using the Hudi Connector: 1:13:34

Show Notes: https://trino.io/episodes/41.html

Show Page: https://trino.io/broadcast/

  continue reading

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Manage episode 347235258 series 2796878
内容由Brian Olsen and Trino Community提供。所有播客内容(包括剧集、图形和播客描述)均由 Brian Olsen and Trino Community 或其播客平台合作伙伴直接上传和提供。如果您认为有人在未经您许可的情况下使用您的受版权保护的作品,您可以按照此处概述的流程进行操作https://zh.player.fm/legal

Trino's initial use case was around replacing the Apache Hive runtime. As data lakes grew into prominence, it became clear that having a faster query engine didn't solve all problems. The Hive model itself was a huge bottleneck and didn't provide features that companies needed akin to data warehouses and databases. Apache Hudi is a new table format created out of Uber that aims to address many of these issues and usher in a new generation of data lake.

Tune in as we speak to the Trino Hudi connector contributor Sagar Sumit and Grace Lu who uses Trino and Hudi at Robinhood to discuss the new Hudi connector and future plans!

- Intro Music: 0:00

- Intro: 0:32

- Releases: 14:43

- Concept of the episode: Intro to Hudi and the Hudi connector: 22:29

- Concept of the episode: Merge on read and copy on write tables: 28:28

- Concept of the episode: Hudi metadata table: 39:24

- Concept of the episode: Hudi data layout: 46:39

- Concept of the episode: Robinhood Trino and Hudi use cases: 51:12

- Concept of the episode: Current state and roadmap for the Hudi connector: 1:03:15

- Pull request of the episode: PR 14445: Fault-tolerant execution for PostgreSQL and MySQL connectors: 1:08:14

- Demo of the episode: Using the Hudi Connector: 1:13:34

Show Notes: https://trino.io/episodes/41.html

Show Page: https://trino.io/broadcast/

  continue reading

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