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fix: use WITH NO DATA for continuous aggregates to avoid transaction block error

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hsiegeln
2026-03-16 19:32:54 +01:00
parent 0723f48e5b
commit af03ecdf42
1 changed files with 12 additions and 10 deletions
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22
cameleer3-server-app/src/main/resources/db/migration/V8__continuous_aggregates.sql
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@@ -1,8 +1,6 @@
-- flyway:executeInTransaction=false
-- Global stats -- Global stats
CREATE MATERIALIZED VIEW stats_1m_all CREATE MATERIALIZED VIEW stats_1m_all
WITH (timescaledb.continuous) AS WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
SELECT SELECT
time_bucket('1 minute', start_time) AS bucket, time_bucket('1 minute', start_time) AS bucket,
COUNT(*) AS total_count, COUNT(*) AS total_count,
@@ -13,7 +11,8 @@ SELECT
approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions FROM executions
WHERE status IS NOT NULL WHERE status IS NOT NULL
GROUP BY bucket; GROUP BY bucket
WITH NO DATA;
SELECT add_continuous_aggregate_policy('stats_1m_all', SELECT add_continuous_aggregate_policy('stats_1m_all',
start_offset => INTERVAL '1 hour', start_offset => INTERVAL '1 hour',
@@ -22,7 +21,7 @@ SELECT add_continuous_aggregate_policy('stats_1m_all',
-- Per-application stats -- Per-application stats
CREATE MATERIALIZED VIEW stats_1m_app CREATE MATERIALIZED VIEW stats_1m_app
WITH (timescaledb.continuous) AS WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
SELECT SELECT
time_bucket('1 minute', start_time) AS bucket, time_bucket('1 minute', start_time) AS bucket,
group_name, group_name,
@@ -34,7 +33,8 @@ SELECT
approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions FROM executions
WHERE status IS NOT NULL WHERE status IS NOT NULL
GROUP BY bucket, group_name; GROUP BY bucket, group_name
WITH NO DATA;
SELECT add_continuous_aggregate_policy('stats_1m_app', SELECT add_continuous_aggregate_policy('stats_1m_app',
start_offset => INTERVAL '1 hour', start_offset => INTERVAL '1 hour',
@@ -43,7 +43,7 @@ SELECT add_continuous_aggregate_policy('stats_1m_app',
-- Per-route stats -- Per-route stats
CREATE MATERIALIZED VIEW stats_1m_route CREATE MATERIALIZED VIEW stats_1m_route
WITH (timescaledb.continuous) AS WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
SELECT SELECT
time_bucket('1 minute', start_time) AS bucket, time_bucket('1 minute', start_time) AS bucket,
group_name, group_name,
@@ -56,7 +56,8 @@ SELECT
approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM executions FROM executions
WHERE status IS NOT NULL WHERE status IS NOT NULL
GROUP BY bucket, group_name, route_id; GROUP BY bucket, group_name, route_id
WITH NO DATA;
SELECT add_continuous_aggregate_policy('stats_1m_route', SELECT add_continuous_aggregate_policy('stats_1m_route',
start_offset => INTERVAL '1 hour', start_offset => INTERVAL '1 hour',
@@ -65,7 +66,7 @@ SELECT add_continuous_aggregate_policy('stats_1m_route',
-- Per-processor stats (uses denormalized group_name/route_id on processor_executions) -- Per-processor stats (uses denormalized group_name/route_id on processor_executions)
CREATE MATERIALIZED VIEW stats_1m_processor CREATE MATERIALIZED VIEW stats_1m_processor
WITH (timescaledb.continuous) AS WITH (timescaledb.continuous, timescaledb.materialized_only = false) AS
SELECT SELECT
time_bucket('1 minute', start_time) AS bucket, time_bucket('1 minute', start_time) AS bucket,
group_name, group_name,
@@ -77,7 +78,8 @@ SELECT
MAX(duration_ms) AS duration_max, MAX(duration_ms) AS duration_max,
approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration approx_percentile(0.99, percentile_agg(duration_ms::DOUBLE PRECISION)) AS p99_duration
FROM processor_executions FROM processor_executions
GROUP BY bucket, group_name, route_id, processor_type; GROUP BY bucket, group_name, route_id, processor_type
WITH NO DATA;
SELECT add_continuous_aggregate_policy('stats_1m_processor', SELECT add_continuous_aggregate_policy('stats_1m_processor',
start_offset => INTERVAL '1 hour', start_offset => INTERVAL '1 hour',