Examine performance under concurrency
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Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 18/100
- Issue type
- Feature
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- shell
- Domain
- databases, performance
Research direction
No files or tests are named. Start by locating the benchmark entry points and warehouse configuration, then measure six or more concurrent queries against Redshift, BigQuery, and Snowflake; done means the performance differences and Redshift query-queue behavior are captured in reproducible results.
Written by the indexing model from the issue text.
Description
Realistic scenarios frequently involve multiple analysts using the same db at the same time. Examine performance with 6+ queries going at once. Under Redshift's default options this will likely result in issues (http://docs.aws.amazon.com/redshift/latest/dg/cm-c-defining-query-queues.html) that shouldn't be experienced by BigQuery and experienced to a lesser extent on Snowflake.
- Dominant language
- Shell
- Stars
- 171
- Forks
- 41
- PR merge metrics
- No merged PRs in 30d
Contributor guide
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First steps
- Read the whole issue, then the project's contributing guide.
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- Open a pull request that references the issue number.
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