This guide covers essential techniques to optimize queries in ClickHouse when used with Spring Boot.
1. Use Proper Table Engines
Choose the right engine like
MergeTree for large datasets. Define
ORDER BY to match your query patterns:
CREATE TABLE events (
id UInt64,
user_id UInt32,
event_time DateTime,
action String
)
ENGINE = MergeTree()
PARTITION BY toYYYYMM(event_time)
ORDER BY (user_id, event_time);
2. Limit Columns in Queries
Fetch only what you need in Spring Boot:
List<String> actions = jdbcTemplate.queryForList(
"SELECT action FROM events WHERE user_id = ? LIMIT 100",
String.class, userId
);
3. Apply Filters Early
Use WHERE clauses to prune partitions:
SELECT count() FROM events
WHERE event_time >= now() - INTERVAL 7 DAY;
4. Use Batch Inserts
For better performance, insert in batches with Spring Boot:
jdbcTemplate.batchUpdate(
"INSERT INTO events (id, user_id, event_time, action) VALUES (?, ?, ?, ?)",
batchArgs
);
5. Profile Queries
Enable
system.query_log in ClickHouse to analyze slow queries and adjust schema or indexes.
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