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Fix timeseries query: use epoch-based bucketing for DateTime64 compatibility
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Replace toStartOfInterval with intDiv on epoch seconds, and cast
avg/quantile results to Int64 to avoid Float64 JDBC mapping issues.

Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
hsiegeln
2026-03-13 18:33:14 +01:00
parent 9e6e1b350a
commit d1940b98e5
1 changed files with 4 additions and 3 deletions
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7
cameleer3-server-app/src/main/java/com/cameleer3/server/app/search/ClickHouseSearchEngine.java
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@@ -106,12 +106,13 @@ public class ClickHouseSearchEngine implements SearchEngine {
long intervalSeconds = Duration.between(from, to).getSeconds() / bucketCount; long intervalSeconds = Duration.between(from, to).getSeconds() / bucketCount;
if (intervalSeconds < 1) intervalSeconds = 1; if (intervalSeconds < 1) intervalSeconds = 1;
// Use epoch-based bucketing for DateTime64 compatibility
String sql = "SELECT " + String sql = "SELECT " +
"toStartOfInterval(start_time, INTERVAL " + intervalSeconds + " SECOND) AS bucket, " + "toDateTime(intDiv(toUInt32(toDateTime(start_time)), " + intervalSeconds + ") * " + intervalSeconds + ") AS bucket, " +
"count() AS total_count, " + "count() AS total_count, " +
"countIf(status = 'FAILED') AS failed_count, " + "countIf(status = 'FAILED') AS failed_count, " +
"avg(duration_ms) AS avg_duration_ms, " + "toInt64(avg(duration_ms)) AS avg_duration_ms, " +
"quantile(0.99)(duration_ms) AS p99_duration_ms, " + "toInt64(quantile(0.99)(duration_ms)) AS p99_duration_ms, " +
"countIf(status = 'RUNNING') AS active_count " + "countIf(status = 'RUNNING') AS active_count " +
"FROM route_executions " + "FROM route_executions " +
"WHERE start_time >= ? AND start_time <= ? " + "WHERE start_time >= ? AND start_time <= ? " +