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Use mysqlslap to measure how a MySQL server responds to a defined query while one or more simulated clients run it. A useful test fixes the schema, data, query text, server version, and connection settings; chooses explicit values for parallel clients and repetitions; runs first on a non-production system; and records the command and output. mysqlslap reports timings for its setup, load-test, and cleanup stages, so the result describes that complete scenario rather than a universal latency for one query.
The practical workflow is: prepare representative test data, optionally provide setup SQL, run a low-load baseline, increase concurrency or iterations deliberately, capture the output, and change only one factor between comparable runs.
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MySQL describes mysqlslap as a diagnostic program that emulates client load for a MySQL server and reports the timing of each stage. It behaves as though multiple clients are accessing the server. Every run has three stages:
| Stage | What happens | Connections | How to use the timing |
|---|---|---|---|
| Setup (create) | mysqlslap executes the SQL supplied through options such as --create, or prepares automatically generated test objects. |
One connection | Include this timing when you want to know the cost of preparing the test, but do not confuse it with query-service time. |
| Load test | The selected query runs under the requested client count and repetition settings. | One or many connections | This is the part to compare when studying behavior under concurrent query load. |
| Cleanup | mysqlslap removes or closes test resources as configured. | One connection | Cleanup can matter operationally, but it is not a measure of the query itself. |
Because the program reports stages, a command that creates a table, runs a query, and drops the table does not produce a pure single-expression stopwatch reading. Keep that distinction in the title and notes for every result.
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Choose a safe, representative test target
Use development or staging, not production
Load emulation can open many client connections and repeat statements aggressively. MySQL warns that benchmark programs or packages can bring a system to its knees and recommends using them only on development systems. Run mysqlslap against a development or staging server with resource limits and monitoring. If production-like data is required, use a sanitized copy and confirm that writes, table creation, and cleanup cannot affect live users.
Make the test resemble the question you are asking
A query benchmark is only useful when its inputs represent the workload you intend to compare. Select a schema and data volume that exercise the relevant indexes, joins, filters, and result sizes. A tiny sample can hide a plan change that appears with a realistic table; a synthetic table can exaggerate or miss contention found in the application. Record the schema name, row counts or data-generation method, indexes, server version, and connection settings beside the result.
Freeze variables for a baseline
Keep the query text, setup SQL, schema, data, server version, and client connection settings fixed for the first comparison. Change one factor at a time afterward: for example, add one index, rewrite one predicate, alter the concurrency value, or change one server setting. Running the same command repeatedly gives you a sense of run-to-run variation before you attribute a difference to the change.
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Understand the controls that define a run
The following options determine what mysqlslap sends and how much parallel work it creates.
| Option | Purpose | Important qualification |
|---|---|---|
--create |
Accepts a SQL string or a file containing setup statements. | Input files contain one statement per line by default; use an explicit delimiter when statements span lines or share a line. |
--query |
Accepts the query text or a file containing query statements. | Keep the exact text unchanged between baseline and comparison runs. |
--create-schema=name |
Selects the schema used by the test. | Point it at an isolated schema whose contents are known and reproducible. |
--concurrency=N |
Sets the number of parallel client connections during the load phase. | A higher value tests more simultaneous clients; it is not automatically a faster or better setting. |
--iterations=N |
Repeats the test the requested number of times. | Use the same value when comparing two configurations unless repetition count is the variable being studied. |
--number-of-queries=N |
Limits each client to approximately this many queries. | How statements are counted depends on the delimiter selected for the input. |
--delimiter=value |
Changes the statement separator used when mysqlslap reads SQL files or multi-statement strings. | For semicolon-separated statements, set --delimiter=";". |
--auto-generate-sql |
Builds an automatic test instead of requiring your own setup and query text. | With this mode, the created schema is dropped at the end unless --no-drop is supplied. |
--only-print |
Prints what mysqlslap would do without connecting. | Use it to inspect generated SQL and option handling before a live run. |
--csv[=file] |
Writes comma-separated output to a file, or to standard output when no file is supplied. | Keep the file with the command and environment notes so the result remains auditable. |
--pre-query |
Runs a statement before the test. | The statement is excluded from timing. |
--post-query |
Runs a statement after the test. | The statement is also excluded from timing. |
Run a first baseline step by step
- Define the question. Decide whether you are comparing two SQL formulations, checking an index change, or measuring behavior as concurrent clients increase. Write that question in the benchmark notes before choosing numbers.
- Prepare an isolated schema. Load representative tables and data on development or staging. Verify that the account used by the test can perform the setup and query work without touching unrelated schemas.
- Choose setup and query input. Put setup SQL in
--createwhen mysqlslap must build a small test object. Use--queryfor the statement under test, or point both options to files when the SQL is too large for a command line. - Check parsing without connecting. Add
--only-printand inspect the rendered command, generated SQL, and delimiter behavior. This catches a missing separator or an unintended statement before it creates load. - Start with modest load. Use a small
--concurrencyand--iterationsvalue to verify permissions, object names, and result correctness. A successful smoke test is safer than beginning with dozens of clients. - Capture the baseline. Run the command without the print-only switch, save the terminal output or use
--csv, and record the exact command, host environment, schema, data version, and date. - Repeat before changing anything. Several identical runs reveal whether timings are stable enough for the comparison. If they vary widely, investigate the test environment rather than declaring a small difference meaningful.
- Change one factor. Apply one index, query, client-count, or server-setting change, then rerun with every other input held constant.
Official command patterns
Supply a table and query, then apply concurrent clients
mysqlslap --delimiter=";"
--create="CREATE TABLE a (b int);INSERT INTO a VALUES (23)"
--query="SELECT * FROM a"
--concurrency=50 --iterations=200This pattern creates a table and row, executes the supplied query with 50 parallel clients, and repeats the test 200 times. The figures are example settings, not published performance results. Use smaller values while validating a new test, then choose load levels that answer your own question.
Generate a test automatically
mysqlslap --create-schema=mydb
--concurrency=5 --iterations=20
--number-int-cols=2 --number-char-cols=3
--auto-generate-sqlThe automatic mode creates its test schema and objects. mysqlslap drops the created schema at the end unless you add --no-drop. Treat generated data as a convenient smoke test, not a substitute for application-shaped rows when query plans depend on realistic distributions.
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Read setup and query files
mysqlslap --create-schema=mydb
--concurrency=5 --iterations=5
--query=query.sql --create=create.sql
--delimiter=";"This file-based pattern uses semicolons as delimiters. Keep create.sql and query.sql under version control with the benchmark notes, and verify that the files contain only statements mysqlslap can parse.
Handle SQL files and delimiters deliberately
By default, mysqlslap treats one line as one statement when reading a file. That rule matters when a statement is formatted across several lines or when multiple statements share one line. Set --delimiter=";" when semicolons separate statements, as in the examples above. The delimiter also affects how --number-of-queries counts work, so a changed delimiter can alter the amount of load even when the visible SQL text looks similar.
mysqlslap does not understand comments in SQL input files. Remove comments or place explanatory notes outside the file before running the test. Keep setup and query files focused on executable statements, and validate them with --only-print before connecting.
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Design concurrency, iterations, and query counts
Concurrency answers a pressure question
--concurrency=N asks how the server behaves when N clients issue the test workload in parallel. Test a sequence that reflects the decision you need to make, such as a low value for a baseline followed by progressively higher values. Increasing concurrency can expose lock waits, connection limits, CPU saturation, or I/O pressure, but mysqlslap alone does not identify which resource caused a change.
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Iterations improve repeatability
--iterations=N repeats the test. Keep concurrency fixed while changing iterations if you are studying repeatability; keep iterations fixed while changing concurrency if you are studying load. Document whether an iteration includes setup and cleanup in the command you ran, because the reported stages are part of the run definition.
Number-of-queries controls per-client work
--number-of-queries=N limits each client to approximately N queries. “Approximately” matters because statement counting follows the selected delimiter. If you need an exact, reviewable workload, use a clearly delimited query file and record the delimiter with the command.
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Use hooks without contaminating timings
Use --pre-query for preparation that must happen immediately before the measured work, such as resetting a test state. Use --post-query for cleanup that should happen immediately afterward. mysqlslap excludes both statements from timing. That exclusion is useful for isolating the load phase, but it also means the reported result will not include the cost of those hooks. Describe them in your notes so another person knows the state in which the query ran.
Capture and inspect results
Validate a command before a live run
Run with --only-print first when you are using generated SQL, multiple statements, or files. Inspect the selected schema, query text, delimiter, client count, iterations, and any pre- or post-query statements. This mode does not connect, so it is safe for checking syntax assembled by mysqlslap; it does not prove that the SQL will succeed on the server.
Save machine-readable output
Use --csv=file to write comma-separated output to a file, or --csv to send it to standard output. Preserve the CSV alongside the exact command and environment metadata. A CSV without its concurrency, iteration count, query version, and data description cannot support a reliable later comparison.
Read the stages, not just one number
Inspect the reported setup, load, and cleanup timings. For a query-under-concurrency question, focus on the load-stage comparison while still recording the other stages. If setup time changes because the schema or data changed, that is a separate finding from a change in query service time. Do not present a mysqlslap result as a guaranteed latency for every application request: it is timing for the clients, SQL, data, and server conditions defined by that command.
Common failure modes and corrections
- The file is parsed as one long statement. Set an explicit delimiter, normally
--delimiter=";", and ensure separators appear where each statement ends. - A multiline statement fails. The default one-statement-per-line behavior may not match the file formatting. Use a delimiter that matches the file and test it with
--only-print. - Comments cause an input error. mysqlslap does not understand comments in SQL files. Remove them and keep documentation in a separate benchmark note.
- The automatic test removes the schema. Add
--no-dropwhen you need the generated schema to remain after the run, and use an isolated schema so retained objects cannot interfere with other work. - A run overloads the server. Stop increasing client count, return to development or staging, and resume with smaller concurrency and iteration values. Benchmark packages are capable of disrupting a system.
- Two runs are not comparable. Check that query text, schema, data, indexes, server version, connection settings, delimiter, concurrency, and iterations match. Change one intentional variable and rerun.
- The result answers the wrong question. If you are measuring a single expression or function rather than concurrent client behavior, use the microbenchmark method described below instead of interpreting mysqlslap as a universal stopwatch.
When another benchmark method is a better fit
| Need | Appropriate method | What it tells you | What it does not replace |
|---|---|---|---|
| Measure one SQL expression or function repeatedly | BENCHMARK(loop_count, expr) through the mysql client |
MySQL reports elapsed execution time while the function returns zero. | It does not emulate many clients or represent an application workload. |
| Measure one query under controlled client concurrency | mysqlslap | Stage timings for setup, load, and cleanup with explicit client and repetition controls. | It does not by itself diagnose every server bottleneck or model the entire application. |
| Simulate a broader application or high-load benchmark | SysBench or DBT2 | Broader benchmark packages can model workloads beyond a single mysqlslap query. | They require their own workload design and operational safeguards. |
Choose the narrowest tool that matches the question. A function microtest can isolate expression cost; mysqlslap can show how a query behaves when clients issue it simultaneously; a broader suite is more suitable when application-level interactions are the subject.
Build a reproducible benchmark record
For every run, keep a short record containing:
- the complete mysqlslap command, including delimiter, schema, concurrency, iterations, query count, and hooks;
- the exact contents or version identifiers for setup and query files;
- server version, host role (development or staging), connection settings, and test date;
- table definitions, indexes, data-generation method, and approximate data volume;
- captured terminal output or CSV output;
- the single factor changed from the previous baseline;
- any operational event observed during the run, such as an aborted test or resource saturation.
This record lets another engineer recreate the same client-load scenario and tells readers exactly what the reported timings include. It also prevents an example setting such as 50 clients and 200 iterations from being mistaken for a performance promise.
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A practical decision sequence
- Start with
BENCHMARK(loop_count, expr)when the question is only the cost of one expression or function. - Use mysqlslap when the question is how a specific query behaves with controlled concurrent clients.
- Use a broader package such as SysBench or DBT2 when the question spans multiple operations or the whole application workload.
- Whichever method you choose, run on development or staging, keep inputs reproducible, capture output, and increase load gradually.
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