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Multistage Lite Mode

Introduces the Multistage Engine Lite Mode

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Multistage Engine (MSE) Lite Mode is an optional, guardrail-oriented execution mode for self-service and high-QPS tenants. Without additional bounds, queries can scan a large number of records or run expensive operations, which can impact the reliability of a shared tenant and create friction in onboarding new use-cases. Lite Mode addresses this by capping the rows returned from each leaf stage and applying tighter resource bounds automatically.

It is based on the observation that most of the users need access to advanced SQL features like Window Functions, Subqueries, etc., and aren't interested in scanning a lot of data or running fully Distributed Joins.

Overview

MSE Lite Mode has the following key characteristics:

  • Users can still use all MSE query features like Window Functions, Subqueries, Joins, etc.

  • But, the maximum number of rows returned by a Leaf Stage will be set to a user configurable value. The default value is 100,000.

  • Query execution follows a scatter-gather paradigm, similar to the Single-stage Engine. This is different from regular MSE that uses shuffles across Pinot Servers.

  • Leaf stage(s) are run in the Servers, and all other operators are run using a single thread in the Broker.

Leaf Stage in a Multistage Engine query usually refers to Table Scan, an optional Project, an optional Filter and an optional Aggregate Plan Node.

At present, all joins in MSE Lite Mode are run in the Broker. This may change with the next release, since Colocated Joins can theoretically be run in the Servers.

Example

To illustrate how MSE Lite Mode applies automatic resource bounds, consider the query below based on the colocated_join Quickstart. If this query were allowed in production with the regular MSE, it would scan all the rows of the userFactEvents table. With Lite Mode, the full scan will be prevented because Lite Mode will automatically add a Sort to the leaf stage with a configurable limit (aka "fetch") value.

The query plan for this query would be as follows. The window function, the filter in the filtered-events table, and the aggregation would be run in the Pinot Broker using a single thread. We assume that the Pinot Broker is configured with the lite mode limit value of 100k records:

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Enabling Lite Mode

To use Lite Mode, you can use the following query options.

Running Non-Leaf Stages in Pinot Servers

By default Lite Mode will run the non-leaf stage in the Broker. If you want to run the non-leaf stages in Pinot Servers, you can set the following query option to false. In this case, a random server will be picked for the non-leaf stage.

Configuration

You can set the following configs in your Pinot Broker.

Configuration Key
Default
Description

pinot.broker.multistage.lite.mode.leaf.stage.limit

100000

The maximum number of records that a given Leaf Stage instance on a server is allowed to return. Recommended value is 100k records or lower.

pinot.broker.multistage.use.lite.mode

false

Default value of the query option useLiteMode.

pinot.broker.multistage.run.in.broker

true

Whether to run the non-leaf stages in the broker by default. This controls the default value of the query option runInBroker.

FAQ

Q1: What is the Lite Mode intended for?

Lite Mode was contributed by Uber and is inspired from their Presto over Pinot architecturearrow-up-right. Lite Mode is an optional execution mode with tighter scan and resource bounds, designed for use-cases where users need advanced SQL features (window functions, subqueries, etc.) but do not need fully distributed execution of joins or CTEs. One can think of this as an advanced version of the Single-Stage Engine.

Q2: Why use a single thread in the broker for the non-leaf stages?

Using a single thread, or more importantly a single Operator Chain, means that the entire stage can be run without any Exchange. It also keeps the design simple and makes it easy to reason about performance and debugging.

Q3: Can Lite Mode be used in tandem with server/segment pruning for high QPS use-cases?

Yes, if you setup segmentPrunerTypes as described here in your Table Config, then segments and servers will be pruned. You can use this to scale out Read QPS.

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