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AWS
docs.aws.amazon.com โ€บ amazon redshift โ€บ database developer guide โ€บ query performance tuning
Query performance tuning - Amazon Redshift
March 19, 2026 - Once your system is set up, you typically work with DML the most, especially the SELECT command for retrieving and viewing data. To write effective data retrieval queries in Amazon Redshift, become familiar with SELECT and apply the tips outlined in Amazon Redshift best practices for designing tables to maximize query efficiency.
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AWS
aws.amazon.com โ€บ blogs โ€บ big-data โ€บ top-10-performance-tuning-techniques-for-amazon-redshift
Top 10 performance tuning techniques for Amazon Redshift | Amazon Web Services
April 20, 2022 - Amazon Redshift is optimized to reduce your storage footprint and improve query performance by using compression encodings. When you donโ€™t use compression, data consumes additional space and requires additional disk I/O.
Discussions

amazon web services - Optimizing Redshift Query Performance with Large IN Clause and Large Columns - Stack Overflow
I'm working with an Amazon Redshift database and encountering performance issues with queries that involve a large IN clause (or equivalent multiple OR conditions) to fetch multiple IDs. The typical More on stackoverflow.com
๐ŸŒ stackoverflow.com
Redshift performance optimization
Compress your join keys too, make sure it's the same algorithm so it can compare the compressed values. Distribution is by far the most important to get right, making up to 2 orders of magnitude difference. More on reddit.com
๐ŸŒ r/dataengineering
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4
January 31, 2024
database - Optimize large IN condition for Redshift query - Stack Overflow
I have a ~2TB fully vacuumed Redshift table with a distkey phash (high cardinality, hundreds of millions of values) and compound sortkeys (phash, last_seen). When I do a query like: SELECT DI... More on stackoverflow.com
๐ŸŒ stackoverflow.com
What can I do about redshift slowness?
You can find a list of community-submitted learning resources here: https://dataengineering.wiki/Learning+Resources I am a bot, and this action was performed automatically. Please contact the moderators of this subreddit if you have any questions or concerns. More on reddit.com
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Medium
medium.com โ€บ @opcfrance โ€บ mastering-sql-query-optimization-in-amazon-redshift-40d3b0ba1726
Mastering SQL Query Optimization in Amazon Redshift | by opcfrance | Medium
July 16, 2024 - Indexes in Redshift play a vital role in optimizing query performance. Unlike traditional relational databases that use B-tree or hash indexes, Redshift relies on DISTKEY and SORTKEY to manage data distribution and order.
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Hevodata
cdn.hevodata.com โ€บ whitepapers โ€บ A Complete Guide to Redshift Query Optimization.pdf pdf
REDSHIFT QUERY OPTIMIZATION A COMPLETE GUIDE TO
most of the Query Optimisation activity revolves around evaluating and optimising ยท query plans. A query plan gives you the information on the individual operations ... To generate a Query Plan you can use โ€‹EXPLAIN โ€‹command. EXPLAIN command ยท doesnโ€™t run the query, it only shows the plan the Redshift would use if you run the
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E6data
e6data.com โ€บ query-and-cost-optimization-hub โ€บ how-to-optimize-aws-redshift-queries
AWS Redshift Query Optimization Guide 2025: 15 Code Hacks and Examples
September 16, 2025 - Practical AWS Redshift optimization guide with 15 battle-tested techniques for BI dashboards, analytics & ETL. Includes SQL examples and benchmarks.
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Flexera
flexera.com โ€บ blog โ€บ finops โ€บ optimizing-redshift-performance
10 SQL query optimization tips for faster Redshift performance (2026)
January 27, 2026 - The proactive approach of Amazon ... is designed to keep your data warehouse productive and economical, especially as data volume and query complexity rise. This strategy goes beyond just using machine learning to speed up queries. It includes spending money to optimize resource usage, query designs and infrastructure in order to give top performance while keeping costs in check...
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ProsperOps
prosperops.com โ€บ home โ€บ amazon redshift optimization: 12 tuning techniques to boost performance
Amazon Redshift Optimization: 12 Tuning Techniques To Boost Performance - ProsperOps
September 19, 2024 - When configuring Amazon Redshift, selecting the appropriate distribution key is crucial for balancing the data distribution across clusters. An optimal distribution key ensures that data warehousing is evenly spread, reducing bottlenecks and ...
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Secoda
secoda.co โ€บ learn โ€บ how-to-optimize-sql-queries-in-amazon-redshift
How to Optimize SQL Queries in Amazon Redshift? | Secoda
January 16, 2025 - Query optimization in Amazon Redshift involves strategic use of the CASE expression, predicates, and INNER joins, along with the EXPLAIN command to reveal execution plans. Understanding when to consider using Amazon Redshift can significantly ...
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ProjectPro
projectpro.io โ€บ blog โ€บ 5 aws redshift query optimization techniques to speed up
5 AWS Redshift Query Optimization Techniques to Speed Up
October 28, 2024 - By dynamically applying ML to control memory and concurrency, Auto WLM streamlines workload management and boosts query throughput while ensuring optimal utilization of the cluster resources. The queuing system (WLM) performs queries in Amazon Redshift, and Amazon Redshift Advisor can suggest methods to boost cluster throughput by automatically analyzing the existing WLM usage.
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Integrate.io
integrate.io โ€บ home โ€บ blog โ€บ big data โ€บ 15 performance tuning techniques for amazon redshift
15 Performance Tuning Techniques for Amazon Redshift | Integrate.io
November 25, 2025 - Amazon Redshift is a column-oriented database. As a result, scanning a table doesnโ€™t read each row in its entirety. Instead, individual columns can be scanned without needing to read other columns. You should be careful to only select columns that you will use for your query. Try to avoid using a ... The two optimizations can dramatically improve your query speeds.
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Stack Overflow
stackoverflow.com โ€บ questions โ€บ 77817973 โ€บ optimizing-redshift-query-performance-with-large-in-clause-and-large-columns
amazon web services - Optimizing Redshift Query Performance with Large IN Clause and Large Columns - Stack Overflow
Switching to DISTSTYLE KEY(id) could improve performance by colocating data with the same id on the same node, reducing data shuffling during query execution. However, before making the change, confirm that id has a uniform distribution to avoid creating new skews. ... Segmenting Large Columns: Move colA to a separate table if it's not always required, joining only when necessary. Optimizing IN Clauses: Use temporary tables to store the list of IDs and join against them, which is often faster than long IN lists.
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LinkedIn
linkedin.com โ€บ all โ€บ engineering โ€บ data warehousing
How can you optimize query performance when using Amazon Redshift?
November 24, 2023 - You can also use these tools to optimize your query plans, such as by adding or removing filters, joins, aggregations, subqueries, and window functions, or by changing the order of operations.
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AWS re:Post
repost.aws โ€บ articles โ€บ AR58IPQ86FSFOHH42GOTgBlg โ€บ amazon-redshift-monitoring-and-troubleshooting-query-performance-using-system-tables
Amazon Redshift: Monitoring and troubleshooting query performance using system tables | AWS re:Post
February 3, 2026 - Review tables with large VARCHAR columns, inefficient sort keys, or encrypted columns as the first sort key column using SVV_TABLE_INFO, as these can impact query performance. Regularly review alerts and recommendations from the Redshift Advisor ...
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Twilio
twilio.com โ€บ docs โ€บ segment โ€บ connections โ€บ storage โ€บ warehouses โ€บ redshift-tuning
Speeding Up Redshift Queries | Twilio
If you have multiple ETL processes loading into your warehouse at the same time, especially when analysts are also trying to run queries, everything will slow down. Try to schedule them at different times and when your cluster is least active. If you're a Segment Business Tier customer, you can schedule your sync times under Warehouses Settings. ... You also might want to take advantage of Redshift's Workload Management that helps ensure fast-running queries won't get stuck behind long ones.
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Eyer
eyer.ai โ€บ blog โ€บ 12-amazon-redshift-query-optimization-techniques
12 Amazon Redshift Query Optimization Techniques
October 9, 2024 - Use Redshift Advisor. It watches your cluster and suggests ways to boost efficiency and cut costs. ... Pick the right sort key and distribution style. This can make your queries WAY faster. ... Use automatic compression. It saves space AND speeds up I/O. ... They help the query optimizer make smarter plans.
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Reddit
reddit.com โ€บ r/dataengineering โ€บ redshift performance optimization
r/dataengineering on Reddit: Redshift performance optimization
January 31, 2024 -

Working with a massive 14 billion row dataset in Redshift for sales analytics reporting: I've managed to optimize query times using sort keys and distribution keys, but as the dataset is continuously growing and currently spans three years of data, what are other effective strategies or methods you would recommend for further optimizing read performance on such a large and expanding dataset?

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AWS
aws.amazon.com โ€บ about-aws โ€บ whats-new โ€บ 2026 โ€บ 03 โ€บ amazon-redshift-increases-performance-for-new-queries
Amazon Redshift increases performance for new queries in dashboards and ETL workloads by up to 7x - AWS
March 18, 2026 - Queries start faster and return results quicker. This improvement is automatically enabled at no additional cost. To deliver this major improvement, Redshift added a new optimization to query compilation where new queries are processed immediately using composition.
Top answer
1 of 5
3

You can try to create temporary table/subquery:

SELECT DISTINCT t.ret_field
FROM table t
JOIN (
   SELECT '5c8615fa967576019f846b55f11b6e41' AS phash
   UNION ALL 
   SELECT '8719c8caa9740bec10f914fc2434ccfd' AS phash
   UNION ALL
   SELECT '9b657c9f6bf7c5bbd04b5baf94e61dae' AS phash
   -- UNION ALL
) AS sub
   ON t.phash = sub.phash
WHERE t.last_seen BETWEEN '2015-10-01 00:00:00' AND '2015-10-31 23:59:59';

Alternatively do searching in chunks (if query optimizer merge it to one, use auxiliary table to store intermediate results):

SELECT ret_field
FROM table
WHERE phash IN (
        '5c8615fa967576019f846b55f11b6e41',
        '8719c8caa9740bec10f914fc2434ccfd',
        '9b657c9f6bf7c5bbd04b5baf94e61dae')
  AND last_seen BETWEEN '2015-10-01 00:00:00' AND '2015-10-31 23:59:59'
UNION
SELECT ret_field
FROM table
WHERE phash IN ( ) -- more hashes)
  AND last_seen BETWEEN '2015-10-01 00:00:00' AND '2015-10-31 23:59:59'
UNION 
-- ...

If query optimizer merge it to one you can try to use temp table for intermediate results

EDIT:

SELECT DISTINCT t.ret_field
FROM table t
JOIN (SELECT ... AS phash
      FROM ...
) AS sub
   ON t.phash = sub.phash
WHERE t.last_seen BETWEEN '2015-10-01 00:00:00' AND '2015-10-31 23:59:59';
2 of 5
2

It's worth a try to set sortkeys (last_seen, phash), putting last_seen first.

The reason of slowness might be because the leading column for the sort key is phash which looks like a random character. As AWS redshift dev docs says, the timestamp columns should be as the leading column for the sort key if using that for where conditions.

If recent data is queried most frequently, specify the timestamp column as the leading column for the sort key. - Choose the Best Sort Key - Amazon Redshift

With this order of the sort key, all columns will be sorted by last_seen, then phash. (What does it mean to have multiple sortkey columns?)

One note is that you have to recreate your table to change the sort key. This will help you to do that.