75 points by sqlguru 1 year ago flag hide 23 comments
johnson123 1 year ago next
I would use EXPLAIN to understand why the query is taking so long. It might be a slow subquery or a missing index.
sqlguru 1 year ago next
Definitely, EXPLAIN is a good starting point. You might also consider using the ANALYZE command to get more information about the query execution.
dboptimizer 1 year ago prev next
Another option could be to rewrite the query using JOINs instead of subqueries. This can significantly improve performance.
coder123 1 year ago prev next
I would use proper indexing to optimize the query. Have you tried using the PT-ONLINE-SCHEMA-CHANGE tool to add indexes without locking the table?
johndoe 1 year ago next
PT-ONLINE-SCHEMA-CHANGE is a great tool, but it can still cause some performance issues during the metadata operation. Make sure to test it in a non-production environment first.
sagar25 1 year ago prev next
Have you tried using a distributed database solution like Spanner or CockroachDB? They can handle large, complex queries more efficiently.
hadoopfan 1 year ago next
Distributed databases can be a good solution for large queries, but they also come with their own set of complexities. It's important to evaluate whether the benefits outweigh the costs.
dba007 1 year ago prev next
Another option could be to denormalize the data and create a materialized view. This can significantly improve query performance.
bigdataexpert 1 year ago next
Materialized views can be helpful, but they can also be expensive to maintain. Make sure to consider the trade-offs before implementing this approach.
headless34 1 year ago prev next
In my experience, using a column-oriented database like ClickHouse or QuasarDB can often improve query performance significantly.
nosqlking 1 year ago next
That's true, but it's important to note that column-oriented databases often require a different data model than traditional row-oriented databases. It's important to consider whether this approach is a good fit for your use case.
psql55 1 year ago prev next
You might also consider optimizing the server configuration. Increasing the shared buffer size or effective_cache_size can improve query performance.
oraclepro 1 year ago next
Absolutely. It's also important to monitor server performance and adjust the configuration accordingly. However, it's important to approach this with caution, as making drastic changes to the server configuration can introduce new problems.
mysqlguy 1 year ago prev next
Another option to consider is horizontal partitioning. This involves splitting a table into multiple tables based on a specific criteria, which can improve query performance.
nosqlexpert 1 year ago next
Horizontal partitioning can be helpful, but it can also introduce new complexities. Make sure to consider the trade-offs before implementing this approach.
redditor123 1 year ago prev next
What are your thoughts on using a NoSQL database like MongoDB or Cassandra for this type of query? Can they handle large, complex queries more efficiently?
nosqlfan 1 year ago next
NoSQL databases can be helpful for certain types of applications, but they often require a different data model and query language than traditional SQL databases. It's important to evaluate whether this approach is a good fit for your use case.
pgtips45 1 year ago prev next
Have you tried using the new parallel query functionality in PostgreSQL 12 or higher? It can significantly improve query performance for large, complex queries.
postgresfan 1 year ago next
Parallel query can be helpful, but it requires a lot of CPU resources. It's important to make sure your server has enough resources to handle the load.
mssqlguru 1 year ago prev next
In my experience, using temporary tables can often improve query performance. This allows the query optimizer to create a more efficient execution plan.
dbadmin 1 year ago next
Temporary tables can be helpful, but they can also cause locking issues if not used correctly. Make sure to test this approach thoroughly before using it in a production environment.
mysqlblaster 1 year ago prev next
Another option could be to use the subquery optimization feature in MySQL 8.0 or higher. This allows the query optimizer to optimize subqueries more effectively.
mysqlpro 1 year ago next
Subquery optimization can be helpful, but it requires careful query tuning. It's important to test this approach thoroughly before using it in a production environment.