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zAut6Hh$5^h0AkD{LLfq5`XDgZg(P!vWi)-gF*4`KKt{qN{)!NY5SU{S$mIcgj&;RH zsx$I-m5+Rm0TBWb0ucfc0uch4ArKizX1K)A2!RNJ2!RNJF(B~&17W;0`JK<}!vFvP M07*qoM6N<$f;@Gej{pDw diff --git a/SUMMARY.md b/SUMMARY.md index 7d1a4565..f7e106b2 100644 --- a/SUMMARY.md +++ b/SUMMARY.md @@ -132,6 +132,7 @@ * [Ingestion Aggregations](developers/advanced/ingestion-level-aggregations.md) * [Ingestion Transformations](developers/advanced/ingestion-level-transformations.md) * [Null Value Support](developers/advanced/null-value-support.md) + * [V2 Multi-Stage Query Engine](developers/advanced/v2-multi-stage-query-engine.md) * [Advanced Pinot Setup](developers/advanced/advanced-pinot-setup.md) * [Plugins](developers/plugin-architecture/README.md) * [Write Custom Plugins](developers/plugin-architecture/write-custom-plugins/README.md) diff --git a/developers/advanced/v2-multi-stage-query-engine.md b/developers/advanced/v2-multi-stage-query-engine.md new file mode 100644 index 00000000..14ce07db --- /dev/null +++ b/developers/advanced/v2-multi-stage-query-engine.md @@ -0,0 +1,38 @@ +# V2 Multi-Stage Query Engine + +## Overview + +The new multi-stage query engine (a.k.a V2 query engine) is designed to support more complex SQL semantics such as `JOIN`, `OVER` window, `MATCH_RECOGNIZE` and eventually, make Pinot support closer to full ANSI SQL semantics. + +![](https://www.datocms-assets.com/75153/1661707313-query-execution-model.png)-->![](https://www.datocms-assets.com/75153/1661533401-screenshot\_1.png) + +It also resolves the bottleneck effect for the broker reduce stage where only a single machine is dedicated to perform heavy lifting such as high cardinality `GROUP BY` result merging; `ORDER BY` sorting, etc. + +## How to use the V2 query engine + +To enable the V2 engine, + +1. please make sure to either + * [Building Apache Pinot](https://github.com/apache/pinot#building-pinot) using the latest master commit. + * Download the latest Apache Pinot docker image using the [official guide](https://docs.pinot.apache.org/basics/getting-started/running-pinot-in-docker). +2. Please add the following configurations to your cluster config: + * ``` + "pinot.multistage.engine.enabled": "true", + "pinot.server.instance.currentDataTableVersion": "4", + "pinot.query.server.port": "8421", + "pinot.query.runner.port": "8442" + ``` +3. Start the cluster normally, you should see the following window in the controller query page: + * + + + +## Design Details + +The overall PEP design doc and discussion can be found in the following links + +* [PEP discussion Github Issue](https://github.com/apache/pinot/issues/8260) and +* [PEP design doc](https://docs.google.com/document/d/10-vL\_bUrI-Pi2oYudWyUlQl9Kf0cLrW-Z8hGczkCPik/edit) + + + diff --git a/operators/operating-pinot/README.md b/operators/operating-pinot/README.md index 6dd7181d..9924ca8d 100644 --- a/operators/operating-pinot/README.md +++ b/operators/operating-pinot/README.md @@ -33,5 +33,5 @@ Here are some related blog posts from the Apache Pinot community. You can find a [\ **Monitoring Apache Pinot with JMX, Prometheus and Grafana**](https://medium.com/apache-pinot-developer-blog/monitoring-apache-pinot-99034050c1a5) - **** \ + **** \ ****[**Achieving 99th percentile latency SLA using Apache Pinot**](https://medium.com/apache-pinot-developer-blog/achieving-99th-percentile-latency-sla-using-apache-pinot-2ba4ce1d9eff)****