EXPLAIN shows how ClickHouse will run a query, detailing stages, indexes, and resource costs.
Knowing the plan lets you spot full-table scans, missing indexes, or expensive JOINs before they hurt production performance.
Run EXPLAIN before your SELECT. Choose a mode—AST, SYNTAX, PLAN, or PIPELINE—depending on the depth of detail you need.
AST shows the parsed tree, useful for debugging rewritten queries. PLAN reveals the costed steps ClickHouse will execute. PIPELINE breaks down thread-level processing.SYNTAX returns the rewritten SQL.
1) Write the SELECT. 2) Prefix with EXPLAIN PLAN. 3) Examine output and adjust query, data types, or settings. 4) Re-EXPLAIN until the plan is optimal.
Suppose you need daily revenue. If EXPLAIN shows a full scan on OrderItems, add a partition key or materialized view to pre-aggregate totals.
Set allow_experimental_analyzer = 1
for richer plans.Collect statistics on columns used in WHERE and JOIN. Test changes in staging first.
Do not ignore parts_to_read
; a high value signals poor partitioning. Avoid relying solely on SYNTAX mode—PLAN mode gives cost info.
Create skip indexes, reorder JOINs, or use pre-aggregated tables. Re-run EXPLAIN to verify improvements.
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No. EXPLAIN only simulates execution and returns metadata; it never reads data blocks.
Currently, ClickHouse supports EXPLAIN only for SELECT queries. Use system.events for mutation monitoring.
Insert EXPLAIN output into a log table using INTO OUTFILE
or pipe it to a file in your CI pipeline.