require.Contains(t,queries["C"],"WHERE metric_name = 'name' AND temporality IN ['Cumulative', 'Unspecified'] AND JSONExtractString(labels, 'in') IN ['a','b','c']")
expected:"SELECT toStartOfInterval(toDateTime(intDiv(timestamp_ms, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v2 INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v2 WHERE metric_name = 'signoz_latency_count' AND temporality = 'Delta' AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_latency_count' AND timestamp_ms >= 1650991980000 AND timestamp_ms <= 1651078380000 GROUP BY ts ORDER BY ts",
expected:"SELECT A.`ts` as `ts`, A.value * 100 / B.value as value FROM (SELECT toStartOfInterval(toDateTime(intDiv(timestamp_ms, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v2 INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v2 WHERE metric_name = 'signoz_latency_count' AND temporality = 'Delta' AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, 'status_code') IN ['STATUS_CODE_ERROR'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_latency_count' AND timestamp_ms >= 1650991980000 AND timestamp_ms <= 1651078380000 GROUP BY ts ORDER BY ts) as A INNER JOIN (SELECT toStartOfInterval(toDateTime(intDiv(timestamp_ms, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v2 INNER JOIN (SELECT fingerprint FROM signoz_metrics.time_series_v2 WHERE metric_name = 'signoz_latency_count' AND temporality = 'Delta' AND JSONExtractString(labels, 'service_name') IN ['frontend'] AND JSONExtractString(labels, 'operation') IN ['HTTP GET /dispatch'] AND JSONExtractString(labels, '__temporality__') = 'Delta') as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_latency_count' AND timestamp_ms >= 1650991980000 AND timestamp_ms <= 1651078380000 GROUP BY ts ORDER BY ts) as B ON A.`ts` = B.`ts`",
expected:"SELECT service_name, ts, histogramQuantile(arrayMap(x -> toFloat64(x), groupArray(le)), groupArray(value), 0.950) as value FROM (SELECT service_name,le, toStartOfInterval(toDateTime(intDiv(timestamp_ms, 1000)), INTERVAL 60 SECOND) as ts, sum(value)/60 as value FROM signoz_metrics.distributed_samples_v2 INNER JOIN (SELECT JSONExtractString(labels, 'service_name') as service_name, JSONExtractString(labels, 'le') as le, fingerprint FROM signoz_metrics.time_series_v2 WHERE metric_name = 'signoz_latency_bucket' AND temporality = 'Delta' ) as filtered_time_series USING fingerprint WHERE metric_name = 'signoz_latency_bucket' AND timestamp_ms >= 1650991980000 AND timestamp_ms <= 1651078380000 GROUP BY service_name,le,ts ORDER BY service_name ASC,le ASC, ts) GROUP BY service_name,ts ORDER BY service_name ASC, ts",
ExpectedQuery:"SELECT A.`key_1` as `key_1`, A.`ts` as `ts`, A.value + B.value as value FROM "+
"(SELECT toStartOfInterval(fromUnixTimestamp64Nano(timestamp), INTERVAL 60 SECOND) AS ts, attributes_bool_value[indexOf(attributes_bool_key, 'key_1')] as `key_1`, toFloat64(count(*)) as value from "+
"signoz_logs.distributed_logs where (timestamp >= 1702979275000000000 AND timestamp <= 1702981075000000000) AND attributes_bool_value[indexOf(attributes_bool_key, 'key_1')] = true AND "+
"has(attributes_bool_key, 'key_1') group by `key_1`,ts order by value DESC) as A INNER JOIN (SELECT toStartOfInterval(fromUnixTimestamp64Nano(timestamp), INTERVAL 60 SECOND) AS ts, "+
"attributes_bool_value[indexOf(attributes_bool_key, 'key_1')] as `key_1`, toFloat64(count(*)) as value from signoz_logs.distributed_logs where (timestamp >= 1702979275000000000 AND timestamp <= 1702981075000000000) "+
"AND attributes_bool_value[indexOf(attributes_bool_key, 'key_2')] = true AND has(attributes_bool_key, 'key_1') group by `key_1`,ts order by value DESC) as B ON A.`key_1` = B.`key_1` AND A.`ts` = B.`ts`",
},
{
Name:"test formula with dot in filter and group by attribute",
ExpectedQuery:"SELECT A.`key1.1` as `key1.1`, A.`ts` as `ts`, A.value + B.value as value FROM (SELECT now() as ts, attributes_bool_value[indexOf(attributes_bool_key, 'key1.1')] as `key1.1`, "+
"toFloat64(count(*)) as value from signoz_logs.distributed_logs where (timestamp >= 1702979056000000000 AND timestamp <= 1702982656000000000) AND attributes_bool_value[indexOf(attributes_bool_key, 'key1.1')] = true AND "+
"has(attributes_bool_key, 'key1.1') group by `key1.1` order by value DESC) as A INNER JOIN (SELECT now() as ts, attributes_bool_value[indexOf(attributes_bool_key, 'key1.1')] as `key1.1`, "+
"toFloat64(count(*)) as value from signoz_logs.distributed_logs where (timestamp >= 1702979056000000000 AND timestamp <= 1702982656000000000) AND attributes_bool_value[indexOf(attributes_bool_key, 'key1.2')] = true AND "+
"has(attributes_bool_key, 'key1.1') group by `key1.1` order by value DESC) as B ON A.`key1.1` = B.`key1.1` AND A.`ts` = B.`ts`",
},
{
Name:"test formula with dot in filter and group by materialized attribute",
ExpectedQuery:"SELECT A.`key1.1` as `key1.1`, A.`ts` as `ts`, A.value - B.value as value FROM (SELECT toStartOfInterval(fromUnixTimestamp64Nano(timestamp), INTERVAL 60 SECOND) AS ts, "+
"attribute_bool_key1$$1 as `key1.1`, toFloat64(count(*)) as value from signoz_logs.distributed_logs where (timestamp >= 1702980884000000000 AND timestamp <= 1702984484000000000) AND "+
"attribute_bool_key_2 = true AND attribute_bool_key1$$1_exists=true group by `key1.1`,ts order by value DESC) as A INNER JOIN (SELECT toStartOfInterval(fromUnixTimestamp64Nano(timestamp), "+
"INTERVAL 60 SECOND) AS ts, attribute_bool_key1$$1 as `key1.1`, toFloat64(count(*)) as value from signoz_logs.distributed_logs where (timestamp >= 1702980884000000000 AND "+
"timestamp <= 1702984484000000000) AND attributes_bool_value[indexOf(attributes_bool_key, 'key_1')] = true AND attribute_bool_key1$$1_exists=true group by `key1.1`,ts order by value DESC) as B "+
