| </span></code></pre></div><h2 id="summary"><a href="#summary" aria-hidden="true" tabindex="-1"><span class="icon icon-link"></span></a>Summary</h2><p>I love this feature, and it solves a problem I’ve struggled with when using my datasets. I hope you’ll find it just as useful.</p><p>Give it a try, and let us know how you get on. If you have any questions about this feature, feel free to join us on <a target="_blank" rel="noopener noreferrer" href="https://stree.ai/slack">Slack</a>, where we’ll be happy to help you out.</p></div></main></div></div><aside class="mt-10 hidden border-l-2 pl-5 lg:sticky lg:top-1 lg:block lg:h-full"><section class="sticky top-0 mb-4 w-[15.375rem]"><div class="flex flex-col space-y-1.5 pb-3"><h3 class="text-sm font-semibold leading-snug text-neutral-500 dark:text-neutral-100">Table of Contents</h3></div><nav class="flex items-center self-start" aria-label="Table of Contents"><ol class="list-none space-y-3"><li class="text-sm leading-tight font-bold"><a href="#what-is-a-hybrid-table">What is a hybrid table?</a></li><li class="text-sm font-normal leading-tight"><a href="#how-do-you-query-a-hybrid-table">How do you query a hybrid table?</a></li><li class="text-sm font-normal leading-tight"><a href="#so-whats-the-problem">So, what’s the problem?</a></li><li class="text-sm font-normal leading-tight"><a href="#and-the-solution">And the solution?</a></li><li class="text-sm font-normal leading-tight"><a href="#neat-anything-else-i-should-know">Neat, anything else I should know?</a></li><li class="text-sm font-normal leading-tight"><a href="#summary">Summary</a></li></ol></nav></section></aside></div></article></section></main><footer class="border-t bg-sky-100 px-5 py-10 md:px-[6.75rem] md:pb-10 md:pt-16"><div class="mx-auto flex max-w-7xl flex-wrap justify-between"><div class="flex-shrink-0"><svg xmlns="http://www.w3.org/2000/svg" width="120" height="48" fill="none"><g fill="#C7154A" clip-path="url(#logo_svg__a)"><path d="M42.99 18.448c1.032-.553 2.21-.831 3.535-.831 1.542 0 2.938.38 4.187 1.14 1.248.76 2.236 1.841 2.965 3.241.728 1.402 1.091 3.025 1.091 4.872s-.363 3.482-1.091 4.903c-.729 1.424-1.717 2.525-2.965 3.307-1.25.782-2.645 1.173-4.187 1.173-1.325 0-2.493-.271-3.503-.815-1.01-.543-1.83-1.226-2.46-2.053v14.612H36V17.912h4.562v2.606c.586-.825 1.395-1.515 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This is the first in a series of blog posts showing off some of the new features in this release.\"]}],[\"$\",\"p\",null,{\"children\":\"This post will explore the ability to configure the time boundary when working with hybrid tables.\"}],[\"$\",\"h2\",null,{\"id\":\"what-is-a-hybrid-table\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#what-is-a-hybrid-table\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"What is a hybrid table?\"]}],[\"$\",\"p\",null,{\"children\":\"A hybrid table is the term used to describe a situation where we have an offline and real-time table with the same name. The offline table stores historical data, while the real-time data continuously ingests data from a streaming data platform.\"}],[\"$\",\"h2\",null,{\"id\":\"how-do-you-query-a-hybrid-table\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#how-do-you-query-a-hybrid-table\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"How do you query a hybrid table?\"]}],[\"$\",\"p\",null,{\"children\":\"When you write a query against a hybrid table, the Pinot query engine needs to work out which records to read from the offline table and which to read from the real-time table.\"}],[\"$\",\"p\",null,{\"children\":\"It does this by computing the time boundary, determined by looking at the maximum end time of segments in the offline table and the segment ingestion frequency specified for the offline table.\"}],[\"$\",\"$L13\",null,{\"className\":\"language-js\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-js\",\"children\":[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[\"timeBoundary \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"=\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003c\"}],[\"$\",\"span\",null,{\"className\":\"token maybe-class-name\",\"children\":\"Maximum\"}],\" end time \",[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"of\"}],\" offline segments\",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003e\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"-\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003c\"}],[\"$\",\"span\",null,{\"className\":\"token maybe-class-name\",\"children\":\"Ingestion\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token maybe-class-name\",\"children\":\"Frequency\"}],[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003e\"}],\"\\n\"]}]}]}],[\"$\",\"p\",null,{\"children\":\"The ingestion frequency can either be 1 hour or 1 day, so one of these values will be used.\"}],[\"$\",\"p\",null,{\"children\":\"When a query for a hybrid table is received by a Pinot Broker, the broker sends a time boundary annotated version of the query to the offline and real-time tables. Any records from or before the time boundary are read from the offline table; anything greater than the boundary comes from the real-time table.\"}],[\"$\",\"p\",null,{\"children\":[\"$\",\"img\",null,{\"alt\":\"Apache Pinot computing the time boundary\",\"src\":\"https://www.datocms-assets.com/75153/1676991003-image2.png\",\"title\":\"Apache Pinot computing the time boundary\"}]}],[\"$\",\"p\",null,{\"children\":\"For example, if we executed the following query:\"}],[\"$\",\"$L13\",null,{\"className\":\"language-sql\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-sql\",\"children\":[[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"SELECT\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token function\",\"children\":\"count\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"(\"}],[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"*\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\")\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"FROM\"}],\" events\\n\"]}]]}]}],[\"$\",\"p\",null,{\"children\":\"The broker would send the following query to the offline table:\"}],[\"$\",\"$L13\",null,{\"className\":\"language-sql\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-sql\",\"children\":[[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"SELECT\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token function\",\"children\":\"count\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"(\"}],[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"*\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\")\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"FROM\"}],\" events_OFFLINE\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"WHERE\"}],\" timeColumn \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003c=\"}],\" $timeBoundary\\n\"]}]]}]}],[\"$\",\"p\",null,{\"children\":\"And the following query to the real-time table:\"}],[\"$\",\"$L13\",null,{\"className\":\"language-sql\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-sql\",\"children\":[[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"SELECT\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token function\",\"children\":\"count\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"(\"}],[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"*\"}],[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\")\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"FROM\"}],\" events_REALTIME\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token keyword\",\"children\":\"WHERE\"}],\" timeColumn \",[\"$\",\"span\",null,{\"className\":\"token operator\",\"children\":\"\u003e\"}],\" $timeBoundary\\n\"]}]]}]}],[\"$\",\"p\",null,{\"children\":\"The results of the two queries are merged by the broker before being returned to the client.\"}],[\"$\",\"h2\",null,{\"id\":\"so-whats-the-problem\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#so-whats-the-problem\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"So, what’s the problem?\"]}],[\"$\",\"p\",null,{\"children\":\"If we have some overlap in the data in our offline and real-time tables, this approach works well, but if we have no overlap, we will end up with unexpected results.\"}],[\"$\",\"p\",null,{\"children\":\"For example, let’s say that the most recent timestamp in the events offline table is 2023-01-09T18:41:17, our ingestion frequency is 1 hour, and the real-time table has data starting from 2023-01-09T18:41:18.\"}],[\"$\",\"p\",null,{\"children\":\"This will result in a boundary time of 2023-01-09T17:41:17, which means that any records with timestamps between 17:41 and 18:41 will be excluded from query results.\"}],[\"$\",\"h2\",null,{\"id\":\"and-the-solution\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#and-the-solution\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"And the solution?\"]}],[\"$\",\"p\",null,{\"children\":[\"The 0.12 release sees the addition of the \",[\"$\",\"code\",null,{\"children\":\"tables/{tableName}/timeBoundary\"}],\" API, which lets us set the time boundary to the maximum end time of all offline segments.\"]}],[\"$\",\"$L13\",null,{\"className\":\"language-bash\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-bash\",\"children\":[[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token function\",\"children\":\"curl\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token parameter variable\",\"children\":\"-X\"}],\" POST \",[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"\\\\\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[\" \",[\"$\",\"span\",null,{\"className\":\"token string\",\"children\":\"\\\"http://localhost:9000/tables/{tableName}/timeBoundary\\\"\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"\\\\\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[\" \",[\"$\",\"span\",null,{\"className\":\"token parameter variable\",\"children\":\"-H\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token string\",\"children\":\"\\\"accept: application/json\\\"\"}],\"\\n\"]}]]}]}],[\"$\",\"p\",null,{\"children\":\"In this case, that will result in a new boundary time of 2023-01-09T18:41:17, which is exactly what we need.\"}],[\"$\",\"p\",null,{\"children\":\"We’ll then be able to query the events table and have it read the offline table to get all records on or before 2023-01-09T18:41:17 and the real-time table for everything else.\"}],[\"$\",\"h2\",null,{\"id\":\"neat-anything-else-i-should-know\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#neat-anything-else-i-should-know\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"Neat, anything else I should know?\"]}],[\"$\",\"p\",null,{\"children\":\"Something to keep in mind when updating the time boundary is that it’s a one-off operation. It won’t be automatically updated if you add a new, more recent segment to the offline table.\"}],[\"$\",\"p\",null,{\"children\":[\"In this scenario, you need to call the \",[\"$\",\"code\",null,{\"children\":\"tables/{tableName}/timeBoundary\"}],\" API again.\"]}],[\"$\",\"p\",null,{\"children\":\"And if you want to revert to the previous behavior where the time boundary is computed by subtracting the ingestion frequency from the latest end time, you can do that too:\"}],[\"$\",\"$L13\",null,{\"className\":\"language-bash\",\"children\":[\"$\",\"code\",null,{\"className\":\"code-highlight language-bash\",\"children\":[[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[[\"$\",\"span\",null,{\"className\":\"token function\",\"children\":\"curl\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token parameter variable\",\"children\":\"-X\"}],\" DELETE \",[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"\\\\\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[\" \",[\"$\",\"span\",null,{\"className\":\"token string\",\"children\":\"\\\"http://localhost:9000/tables/{tableName}/timeBoundary\\\"\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token punctuation\",\"children\":\"\\\\\"}],\"\\n\"]}],[\"$\",\"span\",null,{\"className\":\"code-line\",\"children\":[\" \",[\"$\",\"span\",null,{\"className\":\"token parameter variable\",\"children\":\"-H\"}],\" \",[\"$\",\"span\",null,{\"className\":\"token string\",\"children\":\"\\\"accept: application/json\\\"\"}],\"\\n\"]}]]}]}],[\"$\",\"h2\",null,{\"id\":\"summary\",\"children\":[[\"$\",\"a\",null,{\"href\":\"#summary\",\"aria-hidden\":\"true\",\"tabIndex\":\"-1\",\"children\":[\"$\",\"span\",null,{\"className\":\"icon icon-link\"}]}],\"Summary\"]}],[\"$\",\"p\",null,{\"children\":\"I love this feature, and it solves a problem I’ve struggled with when using my datasets. I hope you’ll find it just as useful.\"}],[\"$\",\"p\",null,{\"children\":[\"Give it a try, and let us know how you get on. If you have any questions about this feature, feel free to join us on \",[\"$\",\"a\",null,{\"target\":\"_blank\",\"rel\":\"noopener noreferrer\",\"href\":\"https://stree.ai/slack\",\"children\":\"Slack\"}],\", where we’ll be happy to help you out.\"]}]]}]}]}]]}],[\"$\",\"aside\",null,{\"className\":\"mt-10 hidden border-l-2 pl-5 lg:sticky lg:top-1 lg:block lg:h-full\",\"children\":[\"$\",\"section\",null,{\"className\":\"sticky top-0 mb-4 w-[15.375rem]\",\"children\":[[\"$\",\"div\",null,{\"className\":\"flex flex-col space-y-1.5 pb-3\",\"children\":[\"$\",\"h3\",null,{\"className\":\"text-sm font-semibold leading-snug text-neutral-500 dark:text-neutral-100\",\"children\":\"Table of Contents\"}]}],[\"$\",\"$L14\",null,{\"chapters\":[{\"value\":\"What is a hybrid table?\",\"url\":\"#what-is-a-hybrid-table\",\"depth\":2},{\"value\":\"How do you query a hybrid table?\",\"url\":\"#how-do-you-query-a-hybrid-table\",\"depth\":2},{\"value\":\"So, what’s the problem?\",\"url\":\"#so-whats-the-problem\",\"depth\":2},{\"value\":\"And the solution?\",\"url\":\"#and-the-solution\",\"depth\":2},{\"value\":\"Neat, anything else I should know?\",\"url\":\"#neat-anything-else-i-should-know\",\"depth\":2},{\"value\":\"Summary\",\"url\":\"#summary\",\"depth\":2}]}]]}]}]]}]}]]}]]\n"])</script><script>self.__next_f.push([1,"6:[[\"$\",\"meta\",\"0\",{\"name\":\"viewport\",\"content\":\"width=device-width, initial-scale=1\"}],[\"$\",\"meta\",\"1\",{\"charSet\":\"utf-8\"}],[\"$\",\"title\",\"2\",{\"children\":\"Apache Pinot™ 0.12 - Configurable Time Boundary | Apache Pinot™\"}],[\"$\",\"meta\",\"3\",{\"name\":\"description\",\"content\":\"This post will explore the ability to configure the time boundary when working with hybrid tables.\"}],[\"$\",\"meta\",\"4\",{\"name\":\"robots\",\"content\":\"index, follow\"}],[\"$\",\"meta\",\"5\",{\"name\":\"googlebot\",\"content\":\"index, follow, max-video-preview:-1, max-image-preview:large, max-snippet:-1\"}],[\"$\",\"link\",\"6\",{\"rel\":\"canonical\",\"href\":\"https://pinot.apache.org/blog/2023/02/21/Apache-Pinot-0-12-Configurable-Time-Boundary\"}],[\"$\",\"link\",\"7\",{\"rel\":\"alternate\",\"type\":\"application/rss+xml\",\"href\":\"https://pinot.apache.org/feed.xml\"}],[\"$\",\"meta\",\"8\",{\"property\":\"og:title\",\"content\":\"Apache Pinot™ 0.12 - Configurable Time Boundary\"}],[\"$\",\"meta\",\"9\",{\"property\":\"og:description\",\"content\":\"This post will explore the ability to configure the time boundary when working with hybrid tables.\"}],[\"$\",\"meta\",\"10\",{\"property\":\"og:url\",\"content\":\"https://pinot.apache.org/blog/2023/02/21/Apache-Pinot-0-12-Configurable-Time-Boundary\"}],[\"$\",\"meta\",\"11\",{\"property\":\"og:site_name\",\"content\":\"Apache Pinot™\"}],[\"$\",\"meta\",\"12\",{\"property\":\"og:locale\",\"content\":\"en_US\"}],[\"$\",\"meta\",\"13\",{\"property\":\"og:image\",\"content\":\"https://pinot.apache.org/static/images/twitter-card.png\"}],[\"$\",\"meta\",\"14\",{\"property\":\"og:type\",\"content\":\"article\"}],[\"$\",\"meta\",\"15\",{\"property\":\"article:published_time\",\"content\":\"2023-02-21T00:00:00.000Z\"}],[\"$\",\"meta\",\"16\",{\"property\":\"article:modified_time\",\"content\":\"2023-02-21T00:00:00.000Z\"}],[\"$\",\"meta\",\"17\",{\"property\":\"article:author\",\"content\":\"Mark Needham\"}],[\"$\",\"meta\",\"18\",{\"name\":\"twitter:card\",\"content\":\"summary_large_image\"}],[\"$\",\"meta\",\"19\",{\"name\":\"twitter:title\",\"content\":\"Apache Pinot™ 0.12 - Configurable Time Boundary\"}],[\"$\",\"meta\",\"20\",{\"name\":\"twitter:description\",\"content\":\"This post will explore the ability to configure the time boundary when working with hybrid tables.\"}],[\"$\",\"meta\",\"21\",{\"name\":\"twitter:image\",\"content\":\"https://pinot.apache.org/static/images/twitter-card.png\"}],[\"$\",\"meta\",\"22\",{\"name\":\"next-size-adjust\"}]]\n"])</script><script>self.__next_f.push([1,"f:null\n"])</script><script>self.__next_f.push([1,""])</script></body></html> |
