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https://github.com/GreptimeTeam/greptimedb.git
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a10d40e552
feat: adapt prometheus 3.x matrix selector behavior Signed-off-by: Ruihang Xia <waynestxia@gmail.com>
223 lines
9.8 KiB
Plaintext
223 lines
9.8 KiB
Plaintext
-- Test sum(rate()) function combinations
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CREATE TABLE metrics (
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ts TIMESTAMP TIME INDEX,
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val DOUBLE,
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host STRING,
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`service` STRING,
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PRIMARY KEY (host, service)
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);
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Affected Rows: 0
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-- Insert test data with multiple time series
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INSERT INTO metrics VALUES
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-- host1, service1
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(0, 10, 'host1', 'service1'),
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(30000, 15, 'host1', 'service1'),
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(60000, 20, 'host1', 'service1'),
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(90000, 25, 'host1', 'service1'),
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(120000, 30, 'host1', 'service1'),
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(150000, 35, 'host1', 'service1'),
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(180000, 40, 'host1', 'service1'),
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(210000, 45, 'host1', 'service1'),
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(240000, 50, 'host1', 'service1'),
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-- host1, service2
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(0, 5, 'host1', 'service2'),
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(30000, 10, 'host1', 'service2'),
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(60000, 15, 'host1', 'service2'),
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(90000, 20, 'host1', 'service2'),
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(120000, 25, 'host1', 'service2'),
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(150000, 30, 'host1', 'service2'),
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(180000, 35, 'host1', 'service2'),
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(210000, 40, 'host1', 'service2'),
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(240000, 45, 'host1', 'service2'),
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-- host2, service1
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(0, 8, 'host2', 'service1'),
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(30000, 13, 'host2', 'service1'),
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(60000, 18, 'host2', 'service1'),
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(90000, 23, 'host2', 'service1'),
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(120000, 28, 'host2', 'service1'),
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(150000, 33, 'host2', 'service1'),
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(180000, 38, 'host2', 'service1'),
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(210000, 43, 'host2', 'service1'),
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(240000, 48, 'host2', 'service1');
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Affected Rows: 27
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-- Test basic sum(rate()) - sum rate across all series
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics[1m]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.5 |
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| 1970-01-01T00:02:00 | 0.5 |
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| 1970-01-01T00:03:00 | 0.5 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) with grouping by host
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum by(host) (rate(metrics[1m]));
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+-------+---------------------+----------------------------------------------+
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| host | ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+-------+---------------------+----------------------------------------------+
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| host1 | 1970-01-01T00:01:00 | 0.3333333333333333 |
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| host1 | 1970-01-01T00:02:00 | 0.3333333333333333 |
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| host1 | 1970-01-01T00:03:00 | 0.3333333333333333 |
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| host2 | 1970-01-01T00:01:00 | 0.16666666666666666 |
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| host2 | 1970-01-01T00:02:00 | 0.16666666666666666 |
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| host2 | 1970-01-01T00:03:00 | 0.16666666666666666 |
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+-------+---------------------+----------------------------------------------+
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-- Test sum(rate()) with grouping by service
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum by(service) (rate(metrics[1m]));
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+----------+---------------------+----------------------------------------------+
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| service | ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+----------+---------------------+----------------------------------------------+
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| service1 | 1970-01-01T00:01:00 | 0.3333333333333333 |
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| service1 | 1970-01-01T00:02:00 | 0.3333333333333333 |
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| service1 | 1970-01-01T00:03:00 | 0.3333333333333333 |
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| service2 | 1970-01-01T00:01:00 | 0.16666666666666666 |
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| service2 | 1970-01-01T00:02:00 | 0.16666666666666666 |
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| service2 | 1970-01-01T00:03:00 | 0.16666666666666666 |
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+----------+---------------------+----------------------------------------------+
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-- Test sum(rate()) with label filtering
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics{host="host1"}[1m]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.3333333333333333 |
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| 1970-01-01T00:02:00 | 0.3333333333333333 |
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| 1970-01-01T00:03:00 | 0.3333333333333333 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) with multiple label filters
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics{host="host1", service="service1"}[1m]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.16666666666666666 |
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| 1970-01-01T00:02:00 | 0.16666666666666666 |
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| 1970-01-01T00:03:00 | 0.16666666666666666 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) with regex label matching
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics{host=~"host.*"}[1m]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.5 |
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| 1970-01-01T00:02:00 | 0.5 |
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| 1970-01-01T00:03:00 | 0.5 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) with different time ranges
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics[31s]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(31000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.5 |
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| 1970-01-01T00:02:00 | 0.5 |
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| 1970-01-01T00:03:00 | 0.5 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) with longer evaluation window
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 240, '60s') sum(rate(metrics[1m]));
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+---------------------+----------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) |
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+---------------------+----------------------------------------------+
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| 1970-01-01T00:01:00 | 0.5 |
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| 1970-01-01T00:02:00 | 0.5 |
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| 1970-01-01T00:03:00 | 0.5 |
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| 1970-01-01T00:04:00 | 0.5 |
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+---------------------+----------------------------------------------+
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-- Test sum(rate()) combined with arithmetic operations
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum(rate(metrics[1m])) * 100;
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+---------------------+-------------------------------------------------------------+
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| ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) * Float64(100) |
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+---------------------+-------------------------------------------------------------+
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| 1970-01-01T00:01:00 | 50.0 |
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| 1970-01-01T00:02:00 | 50.0 |
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| 1970-01-01T00:03:00 | 50.0 |
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+---------------------+-------------------------------------------------------------+
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-- Test sum(rate()) with grouping and arithmetic
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-- SQLNESS SORT_RESULT 2 1
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TQL EVAL (60, 180, '60s') sum by(host) (rate(metrics[1m])) * 60;
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+-------+---------------------+------------------------------------------------------------+
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| host | ts | sum(prom_rate(ts_range,val,ts,Int64(60000))) * Float64(60) |
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+-------+---------------------+------------------------------------------------------------+
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| host1 | 1970-01-01T00:01:00 | 20.0 |
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| host1 | 1970-01-01T00:02:00 | 20.0 |
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| host1 | 1970-01-01T00:03:00 | 20.0 |
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| host2 | 1970-01-01T00:01:00 | 10.0 |
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| host2 | 1970-01-01T00:02:00 | 10.0 |
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| host2 | 1970-01-01T00:03:00 | 10.0 |
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+-------+---------------------+------------------------------------------------------------+
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-- Test querying non-existent table
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TQL EVAL (60, 180, '60s') sum(rate(non_existent_table[1m]));
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++
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++
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-- Test querying non-existent label
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TQL EVAL (60, 180, '60s') sum(rate(metrics{non_existent_label="value"}[1m]));
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++
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++
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-- Test querying non-existent label value
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TQL EVAL (60, 180, '60s') sum(rate(metrics{host="non_existent_host"}[1m]));
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++
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++
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-- Test querying multiple non-existent labels
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TQL EVAL (60, 180, '60s') sum(rate(metrics{non_existent_label1="value1", non_existent_label2="value2"}[1m]));
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++
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++
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-- Test querying mix of existing and non-existent labels
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TQL EVAL (60, 180, '60s') sum(rate(metrics{host="host1", non_existent_label="value"}[1m]));
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++
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++
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-- Test querying non-existent table with non-existent labels
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TQL EVAL (60, 180, '60s') sum(rate(non_existent_table{non_existent_label="value"}[1m]));
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++
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++
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-- Test querying non-existent table with multiple non-existent labels
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TQL EVAL (60, 180, '60s') sum(rate(non_existent_table{label1="value1", label2="value2"}[1m]));
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++
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++
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DROP TABLE metrics;
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Affected Rows: 0
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