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Co-authored-by: Archy-X <63976867+Archy-X@users.noreply.github.com>
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| The benchmarks are based on Presto version `0.287`. | ||
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| We assume that a Presto cluster is already running. For more information, visit [Getting Started](https://prestodb.io/getting-started/). |
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Need to add instructions on how to install Presto on an empty machine with Ubuntu on AWS.
These instructions should be in the form of a shell script; see benchmark.sh in other directories.
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It's probably not possible to have a single script to set up a cluster since the environment is complicated, what should I do?
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Having a standard setup is important otherwise different setups may not give identical results.
Would be nice if you can do either of the following:
- You can create an AWS AMI and add that AMI id in the README.
- You can setup a docker-compose based setup of Presto.
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@allenshen13 As the other commenters said already, benchmark.sh is supposed to be as automatic as possible. This ensures reproducibility and comparability with other systems.
Looking at https://prestodb.io/docs/current/installation/deploy-docker.html, it seem fairly easy to deploy a single-node Presto cluster. The JVM config file could be stored within /presto and copied to the right place by "benchmarks.h". It would be great to have Presto included, would you like to continue this PR?
presto/README.md
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| ## Steps | ||
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| 1. Download the parquet file and upload it to an S3 Bucket ex. s3://your-bucket/clickbench-parquet/hits/hits.parquet. |
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We already have it,
s3://clickhouse-public-datasets/hits_compatible/hits.parquet
or
s3://clickhouse-public-datasets/hits_compatible/athena_partitioned/hits_{0..99}.parquet
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Okay, made a note of this in the README.
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@Archy-X Still interested in completing this PR? Otherwise, please close it, thanks. |
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@rschu1ze, we do want to have Presto and Trino, as well as Starburst Cloud, in ClickBench. |
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I am no longer able to work on this, but @wanglinsong or @xpengahana may be able to provide an update/take over. |
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I'm trying to add a similar system, Trino. |
8 participants
This PR adds results for Presto. https://prestodb.io/