Question 1

How do I run a custom benchmark script with dbbench on PostgreSQL?

Accepted Answer

Use the --script flag with a SQL file containing your queries, and ensure it uses valid PostgreSQL syntax. For example, 'dbbench postgres --script mybench.sql --iter 10000'. You can include template variables like {{.Iter}} for dynamic values.

Question 2

dbbench vs pgbench: which is better for PostgreSQL benchmarking?

Accepted Answer

dbbench is more flexible for multi-database testing and custom scripts, while pgbench is PostgreSQL-specific with more advanced built-in scenarios and reporting. Choose dbbench for cross-database comparisons or simple custom tests; pgbench for in-depth PostgreSQL optimization.

Question 3

Can dbbench simulate high-concurrency database loads?

Accepted Answer

Yes, use the --threads flag to control concurrent operations, up to the iteration count. For instance, '--threads 50' runs 50 green threads in parallel, as described in the usage flags for simulating multi-user stress.

Question 4

What should I do if I get a UNIQUE constraint error in dbbench?

Accepted Answer

Run the command with the --clean flag to remove old benchmark data, then retry. This is common if benchmarks are interrupted, as noted in the Troubleshooting section for handling residual data.

Question 5

Is dbbench suitable for benchmarking NoSQL databases like Cassandra?

Accepted Answer

Yes, dbbench supports Cassandra and ScyllaDB with built-in benchmarks for standard operations. Use the 'cassandra' subcommand, and it handles CQL queries appropriately, as shown in the Development examples.

Question 6

How to install dbbench on Windows without Docker?

Accepted Answer

Download a precompiled binary from the releases page on GitHub, as mentioned in the Installation section. Extract and run it from the command line, or use go install if Go is installed, though precompiled binaries are recommended for stability.

dbbench

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