mirror of
https://git.mirrors.martin98.com/https://github.com/SigNoz/signoz
synced 2025-08-15 04:45:57 +08:00
fix: update clickhouse queries
Signed-off-by: Shivanshu Raj Shrivastava <shivanshu1333@gmail.com>
This commit is contained in:
Shivanshu Raj Shrivastava
parent
40ca9adbfc
commit
3aacb99adc
@ -42,11 +42,8 @@ FROM (
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(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[10]s)
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)
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GROUP BY trace_id
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) AS funnel
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WHERE
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t2_time > t1_time
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AND t1_time > 0
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AND t2_time > 0
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HAVING t1_time > 0 AND t2_time > t1_time
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)
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ORDER BY t1_time
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LIMIT 5;`
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return fmt.Sprintf(queryTemplate,
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@ -104,17 +101,12 @@ FROM (
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[12]s)
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OR
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(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[13]s)
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OR
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(serviceName = step3.1 AND name = step3.2 AND (contains_error_t3 = 0 OR has_error = true) %[14]s)
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OR (serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[13]s)
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OR (serviceName = step3.1 AND name = step3.2 AND (contains_error_t3 = 0 OR has_error = true) %[14]s)
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)
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GROUP BY trace_id
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) AS funnel
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WHERE
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t1_time > 0
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AND t2_time > t1_time
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AND t3_time > t2_time
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HAVING t1_time > 0 AND t2_time > t1_time AND t3_time > t2_time
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)
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ORDER BY t1_time
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LIMIT 5;`
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return fmt.Sprintf(queryTemplate,
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@ -165,26 +157,26 @@ WITH
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, funnel AS (
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SELECT
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trace_id,
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minIf(timestamp, serviceName=step1.1 AND name=step1.2) AS t1_time,
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minIf(timestamp, serviceName=step2.1 AND name=step2.2) AS t2_time,
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anyIf(has_error, serviceName=step1.1 AND name=step1.2) AS s1_error,
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anyIf(has_error, serviceName=step2.1 AND name=step2.2) AS s2_error
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minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
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minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
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toUInt8(anyIf(has_error, serviceName = step1.1 AND name = step1.2)) AS s1_error,
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toUInt8(anyIf(has_error, serviceName = step2.1 AND name = step2.2)) AS s2_error
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FROM signoz_traces.signoz_index_v3
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WHERE
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[11]s)
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[11]s)
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OR
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(serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[12]s)
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(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[12]s)
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)
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GROUP BY trace_id
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HAVING t1_time > 0 AND t2_time > t1_time
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)
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, totals AS (
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SELECT
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countIf(t1_time>0) AS total_s1_spans,
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countIf(t1_time>0 AND t2_time>t1_time) AS total_s2_spans,
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countIf(t1_time>0 AND t2_time>0) AS total_s2_raw_spans,
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count() AS total_s1_spans,
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countIf(t2_time > t1_time) AS total_s2_spans,
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sum(s1_error) AS sum_s1_error,
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sum(s2_error) AS sum_s2_error,
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avg((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS avg_duration,
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@ -193,8 +185,8 @@ WITH
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)
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SELECT
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round(total_s2_spans * 100.0 / total_s1_spans, 2) AS conversion_rate,
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total_s2_raw_spans / time_window_sec AS avg_rate,
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round(if(total_s1_spans > 0, total_s2_spans * 100.0 / total_s1_spans, 0), 2) AS conversion_rate,
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total_s2_spans / time_window_sec AS avg_rate,
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greatest(sum_s1_error, sum_s2_error) AS errors,
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avg_duration,
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latency
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@ -243,8 +235,8 @@ WITH
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'%[4]s' AS latency_pointer_t1,
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'%[5]s' AS latency_pointer_t2,
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'%[6]s' AS latency_pointer_t3,
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toDateTime64(%[7]d/1e9,9) AS start_ts,
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toDateTime64(%[8]d/1e9,9) AS end_ts,
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toDateTime64(%[7]d/1e9, 9) AS start_ts,
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toDateTime64(%[8]d/1e9, 9) AS end_ts,
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(%[8]d - %[7]d)/1e9 AS time_window_sec,
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('%[9]s','%[10]s') AS step1,
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@ -254,19 +246,19 @@ WITH
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, funnel AS (
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SELECT
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trace_id,
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minIf(timestamp, serviceName=step1.1 AND name=step1.2) AS t1_time,
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minIf(timestamp, serviceName=step2.1 AND name=step2.2) AS t2_time,
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minIf(timestamp, serviceName=step3.1 AND name=step3.2) AS t3_time,
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anyIf(has_error, serviceName=step1.1 AND name=step1.2) AS s1_error,
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anyIf(has_error, serviceName=step2.1 AND name=step2.2) AS s2_error,
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anyIf(has_error, serviceName=step3.1 AND name=step3.2) AS s3_error
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minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
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minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
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minIf(timestamp, serviceName = step3.1 AND name = step3.2) AS t3_time,
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toUInt8(anyIf(has_error, serviceName = step1.1 AND name = step1.2)) AS s1_error,
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toUInt8(anyIf(has_error, serviceName = step2.1 AND name = step2.2)) AS s2_error,
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toUInt8(anyIf(has_error, serviceName = step3.1 AND name = step3.2)) AS s3_error
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FROM signoz_traces.signoz_index_v3
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WHERE
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[15]s)
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OR (serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[16]s)
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OR (serviceName=step3.1 AND name=step3.2 AND (contains_error_t3=0 OR has_error=true) %[17]s)
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[15]s)
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OR (serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[16]s)
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OR (serviceName = step3.1 AND name = step3.2 AND (contains_error_t3 = 0 OR has_error = true) %[17]s)
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)
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GROUP BY trace_id
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)
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@ -275,24 +267,30 @@ WITH
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SELECT
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countIf(t1_time > 0) AS total_s1_spans,
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countIf(t1_time > 0 AND t2_time > t1_time) AS total_s2_spans,
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countIf(t1_time > 0 AND t2_time > t1_time AND t3_time > t2_time) AS total_s3_spans,
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countIf(t2_time > 0 AND t3_time > t2_time) AS total_s3_spans,
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sum(s1_error) AS sum_s1_error,
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sum(s2_error) AS sum_s2_error,
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sum(s3_error) AS sum_s3_error,
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avg((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS avg_duration,
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quantile(0.99)((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS latency
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avgIf((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time))/1e6, t1_time > 0 AND t2_time > t1_time) AS avg_duration_12,
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quantileIf(0.99)((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time))/1e6, t1_time > 0 AND t2_time > t1_time) AS latency_12,
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avgIf((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time))/1e6, t2_time > 0 AND t3_time > t2_time) AS avg_duration_23,
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quantileIf(0.99)((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time))/1e6, t2_time > 0 AND t3_time > t2_time) AS latency_23
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FROM funnel
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)
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SELECT
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round(total_s3_spans * 100.0 / total_s1_spans, 2) AS conversion_rate,
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total_s2_spans / time_window_sec AS avg_rate,
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round(if(total_s1_spans > 0, total_s3_spans * 100.0 / total_s1_spans, 0), 2) AS conversion_rate,
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total_s3_spans / nullIf(time_window_sec, 0) AS avg_rate,
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greatest(sum_s1_error, sum_s2_error, sum_s3_error) AS errors,
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avg_duration,
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latency
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avg_duration_23 AS avg_duration,
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latency_23 AS latency
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FROM totals;
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`
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return fmt.Sprintf(queryTemplate,
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return fmt.Sprintf(
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queryTemplate,
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containsErrorT1,
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containsErrorT2,
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containsErrorT3,
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@ -336,28 +334,29 @@ WITH
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('%[7]s','%[8]s') AS step2
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SELECT
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countIf(t1_time>0) AS total_s1_spans,
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countIf(t1_error=1) AS total_s1_errored_spans,
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countIf(t1_time>0 AND t2_time>t1_time) AS total_s2_spans,
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countIf(t1_time>0 AND t2_time>t1_time AND t2_error=1) AS total_s2_errored_spans
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count() AS total_s1_spans,
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countIf(t1_error = 1) AS total_s1_errored_spans,
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countIf(t2_time > t1_time) AS total_s2_spans,
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countIf(t2_time > t1_time AND t2_error = 1) AS total_s2_errored_spans
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FROM (
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SELECT
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trace_id,
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minIf(timestamp,serviceName=step1.1 AND name=step1.2) AS t1_time,
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minIf(timestamp,serviceName=step2.1 AND name=step2.2) AS t2_time,
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toUInt8(anyIf(has_error,serviceName=step1.1 AND name=step1.2)) AS t1_error,
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toUInt8(anyIf(has_error,serviceName=step2.1 AND name=step2.2)) AS t2_error
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minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
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minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
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toUInt8(anyIf(has_error, serviceName = step1.1 AND name = step1.2)) AS t1_error,
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toUInt8(anyIf(has_error, serviceName = step2.1 AND name = step2.2)) AS t2_error
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FROM signoz_traces.signoz_index_v3
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WHERE
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[9]s)
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[9]s)
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OR
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(serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[10]s)
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(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[10]s)
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)
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GROUP BY trace_id
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) AS funnel
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WHERE t1_time>0;`
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HAVING t1_time > 0 AND t2_time > t1_time
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) AS funnel;
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`
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return fmt.Sprintf(queryTemplate,
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containsErrorT1,
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containsErrorT2,
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@ -401,34 +400,33 @@ WITH
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('%[10]s','%[11]s') AS step3
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SELECT
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countIf(t1_time>0) AS total_s1_spans,
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countIf(t1_error=1) AS total_s1_errored_spans,
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countIf(t1_time>0 AND t2_time>t1_time) AS total_s2_spans,
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countIf(t1_time>0 AND t2_time>t1_time AND t2_error=1) AS total_s2_errored_spans,
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countIf(t1_time>0 AND t2_time>t1_time AND t3_time>t2_time) AS total_s3_spans,
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countIf(t1_time>0 AND t2_time>t1_time AND t3_time>t2_time AND t3_error=1) AS total_s3_errored_spans
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count() AS total_s1_spans,
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countIf(t1_error = 1) AS total_s1_errored_spans,
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countIf(t2_time > t1_time) AS total_s2_spans,
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countIf(t2_time > t1_time AND t2_error = 1) AS total_s2_errored_spans,
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countIf(t2_time > t1_time AND t3_time > t2_time) AS total_s3_spans,
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countIf(t2_time > t1_time AND t3_time > t2_time AND t3_error = 1) AS total_s3_errored_spans
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FROM (
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SELECT
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trace_id,
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minIf(timestamp,serviceName=step1.1 AND name=step1.2) AS t1_time,
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minIf(timestamp,serviceName=step2.1 AND name=step2.2) AS t2_time,
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minIf(timestamp,serviceName=step3.1 AND name=step3.2) AS t3_time,
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toUInt8(anyIf(has_error,serviceName=step1.1 AND name=step1.2)) AS t1_error,
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toUInt8(anyIf(has_error,serviceName=step2.1 AND name=step2.2)) AS t2_error,
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toUInt8(anyIf(has_error,serviceName=step3.1 AND name=step3.2)) AS t3_error
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minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
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minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
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minIf(timestamp, serviceName = step3.1 AND name = step3.2) AS t3_time,
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toUInt8(anyIf(has_error, serviceName = step1.1 AND name = step1.2)) AS t1_error,
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toUInt8(anyIf(has_error, serviceName = step2.1 AND name = step2.2)) AS t2_error,
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toUInt8(anyIf(has_error, serviceName = step3.1 AND name = step3.2)) AS t3_error
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FROM signoz_traces.signoz_index_v3
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WHERE
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[12]s)
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OR
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(serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[13]s)
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OR
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(serviceName=step3.1 AND name=step3.2 AND (contains_error_t3=0 OR has_error=true) %[14]s)
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[12]s)
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OR (serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[13]s)
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OR (serviceName = step3.1 AND name = step3.2 AND (contains_error_t3 = 0 OR has_error = true) %[14]s)
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)
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GROUP BY trace_id
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) AS funnel
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WHERE t1_time>0;`
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HAVING t1_time > 0 AND t2_time > t1_time AND t3_time > t2_time
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) AS funnel;
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`
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return fmt.Sprintf(queryTemplate,
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containsErrorT1,
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containsErrorT2,
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@ -463,8 +461,8 @@ func BuildTwoStepFunnelTopSlowTracesQuery(
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WITH
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%[1]d AS contains_error_t1,
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%[2]d AS contains_error_t2,
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toDateTime64(%[3]d/1e9,9) AS start_ts,
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toDateTime64(%[4]d/1e9,9) AS end_ts,
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toDateTime64(%[3]d/1e9, 9) AS start_ts,
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toDateTime64(%[4]d/1e9, 9) AS end_ts,
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('%[5]s','%[6]s') AS step1,
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('%[7]s','%[8]s') AS step2
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@ -476,22 +474,23 @@ SELECT
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FROM (
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SELECT
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trace_id,
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minIf(timestamp,serviceName=step1.1 AND name=step1.2) AS t1_time,
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minIf(timestamp,serviceName=step2.1 AND name=step2.2) AS t2_time,
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minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
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minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
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count() AS span_count
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FROM signoz_traces.signoz_index_v3
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WHERE
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timestamp BETWEEN start_ts AND end_ts
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AND (
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(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[9]s)
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(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[9]s)
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OR
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(serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[10]s)
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(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[10]s)
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)
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GROUP BY trace_id
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HAVING t1_time > 0 AND t2_time > t1_time
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) AS funnel
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WHERE t2_time>t1_time
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ORDER BY duration_ms DESC
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LIMIT 5;`
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LIMIT 5;
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`
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return fmt.Sprintf(queryTemplate,
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containsErrorT1,
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containsErrorT2,
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@ -522,8 +521,8 @@ func BuildTwoStepFunnelTopSlowErrorTracesQuery(
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WITH
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%[1]d AS contains_error_t1,
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%[2]d AS contains_error_t2,
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toDateTime64(%[3]d/1e9,9) AS start_ts,
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toDateTime64(%[4]d/1e9,9) AS end_ts,
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toDateTime64(%[3]d/1e9, 9) AS start_ts,
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toDateTime64(%[4]d/1e9, 9) AS end_ts,
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('%[5]s','%[6]s') AS step1,
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('%[7]s','%[8]s') AS step2
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@ -535,26 +534,27 @@ SELECT
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FROM (
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SELECT
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trace_id,
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minIf(timestamp,serviceName=step1.1 AND name=step1.2) AS t1_time,
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||||
minIf(timestamp,serviceName=step2.1 AND name=step2.2) AS t2_time,
|
||||
toUInt8(anyIf(has_error,serviceName=step1.1 AND name=step1.2)) AS t1_error,
|
||||
toUInt8(anyIf(has_error,serviceName=step2.1 AND name=step2.2)) AS t2_error,
|
||||
minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
|
||||
minIf(timestamp, serviceName = step2.1 AND name = step2.2) AS t2_time,
|
||||
toUInt8(anyIf(has_error, serviceName = step1.1 AND name = step1.2)) AS t1_error,
|
||||
toUInt8(anyIf(has_error, serviceName = step2.1 AND name = step2.2)) AS t2_error,
|
||||
count() AS span_count
|
||||
FROM signoz_traces.signoz_index_v3
|
||||
WHERE
|
||||
timestamp BETWEEN start_ts AND end_ts
|
||||
AND (
|
||||
(serviceName=step1.1 AND name=step1.2 AND (contains_error_t1=0 OR has_error=true) %[9]s)
|
||||
(serviceName = step1.1 AND name = step1.2 AND (contains_error_t1 = 0 OR has_error = true) %[9]s)
|
||||
OR
|
||||
(serviceName=step2.1 AND name=step2.2 AND (contains_error_t2=0 OR has_error=true) %[10]s)
|
||||
(serviceName = step2.1 AND name = step2.2 AND (contains_error_t2 = 0 OR has_error = true) %[10]s)
|
||||
)
|
||||
GROUP BY trace_id
|
||||
HAVING t1_time > 0 AND t2_time > t1_time
|
||||
) AS funnel
|
||||
WHERE
|
||||
(t1_error=1 OR t2_error=1)
|
||||
AND t2_time>t1_time
|
||||
(t1_error = 1 OR t2_error = 1)
|
||||
ORDER BY duration_ms DESC
|
||||
LIMIT 5;`
|
||||
LIMIT 5;
|
||||
`
|
||||
return fmt.Sprintf(queryTemplate,
|
||||
containsErrorT1,
|
||||
containsErrorT2,
|
||||
@ -586,14 +586,39 @@ func BuildTwoStepFunnelStepOverviewQuery(
|
||||
) string {
|
||||
const tpl = `
|
||||
WITH
|
||||
toDateTime64(%[5]d/1e9,9) AS start_ts,
|
||||
toDateTime64(%[6]d/1e9,9) AS end_ts,
|
||||
(%[6]d - %[5]d)/1e9 AS time_window_sec,
|
||||
toDateTime64(%[5]d / 1e9, 9) AS start_ts,
|
||||
toDateTime64(%[6]d / 1e9, 9) AS end_ts,
|
||||
(%[6]d - %[5]d) / 1e9 AS time_window_sec,
|
||||
|
||||
('%[7]s','%[8]s') AS step1,
|
||||
('%[9]s','%[10]s') AS step2
|
||||
('%[7]s', '%[8]s') AS step1,
|
||||
('%[9]s', '%[10]s') AS step2,
|
||||
|
||||
, funnel AS (
|
||||
%[1]d AS contains_error_t1,
|
||||
%[2]d AS contains_error_t2
|
||||
|
||||
SELECT
|
||||
round(total_s2_spans * 100.0 / total_s1_spans, 2) AS conversion_rate,
|
||||
total_s2_spans / time_window_sec AS avg_rate,
|
||||
greatest(sum_s1_error, sum_s2_error) AS errors,
|
||||
avg_duration,
|
||||
latency
|
||||
FROM (
|
||||
SELECT
|
||||
countIf(t1_time > 0) AS total_s1_spans,
|
||||
countIf(t1_time > 0 AND t2_time > t1_time) AS total_s2_spans,
|
||||
sum(s1_error) AS sum_s1_error,
|
||||
sum(s2_error) AS sum_s2_error,
|
||||
|
||||
avgIf(
|
||||
(toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6,
|
||||
t1_time > 0 AND t2_time > t1_time
|
||||
) AS avg_duration,
|
||||
|
||||
quantileIf(%[13]s)(
|
||||
(toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6,
|
||||
t1_time > 0 AND t2_time > t1_time
|
||||
) AS latency
|
||||
FROM (
|
||||
SELECT
|
||||
trace_id,
|
||||
minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
|
||||
@ -605,30 +630,12 @@ WITH
|
||||
timestamp BETWEEN start_ts AND end_ts
|
||||
AND serviceName IN (step1.1, step2.1)
|
||||
AND name IN (step1.2, step2.2)
|
||||
AND ((%[1]d = 0) OR (has_error AND serviceName = step1.1 AND name = step1.2))
|
||||
AND ((%[2]d = 0) OR (has_error AND serviceName = step2.1 AND name = step2.2))
|
||||
%[11]s
|
||||
%[12]s
|
||||
AND ((contains_error_t1 = 0) OR (has_error AND serviceName = step1.1 AND name = step1.2)) %[11]s
|
||||
AND ((contains_error_t2 = 0) OR (has_error AND serviceName = step2.1 AND name = step2.2)) %[12]s
|
||||
GROUP BY trace_id
|
||||
)
|
||||
|
||||
, totals AS (
|
||||
SELECT
|
||||
countIf(t1_time > 0) AS total_s1_spans,
|
||||
countIf(t1_time > 0 AND t2_time > t1_time) AS total_s2_spans,
|
||||
greatest(sum(s1_error), sum(s2_error)) AS errors,
|
||||
avg((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS avg_duration,
|
||||
quantile(%[13]s)((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS latency
|
||||
FROM funnel
|
||||
)
|
||||
|
||||
SELECT
|
||||
round(total_s2_spans * 100.0 / total_s1_spans, 2) AS conversion_rate,
|
||||
total_s2_spans / time_window_sec AS avg_rate,
|
||||
errors,
|
||||
avg_duration,
|
||||
latency
|
||||
FROM totals;`
|
||||
) AS funnel
|
||||
) AS totals;
|
||||
`
|
||||
|
||||
return fmt.Sprintf(tpl,
|
||||
containsErrorT1,
|
||||
@ -670,11 +677,11 @@ func BuildThreeStepFunnelStepOverviewQuery(
|
||||
latencyTypeT2 string,
|
||||
latencyTypeT3 string,
|
||||
) string {
|
||||
const baseTpl = `
|
||||
const baseWithAndFunnel = `
|
||||
WITH
|
||||
toDateTime64(%[7]d/1e9,9) AS start_ts,
|
||||
toDateTime64(%[8]d/1e9,9) AS end_ts,
|
||||
(%[8]d - %[7]d)/1e9 AS time_window_sec,
|
||||
toDateTime64(%[7]d/1e9, 9) AS start_ts,
|
||||
toDateTime64(%[8]d/1e9, 9) AS end_ts,
|
||||
(%[8]d - %[7]d) / 1e9 AS time_window_sec,
|
||||
|
||||
('%[9]s','%[10]s') AS step1,
|
||||
('%[11]s','%[12]s') AS step2,
|
||||
@ -682,9 +689,9 @@ WITH
|
||||
|
||||
%[1]d AS contains_error_t1,
|
||||
%[2]d AS contains_error_t2,
|
||||
%[3]d AS contains_error_t3
|
||||
%[3]d AS contains_error_t3,
|
||||
|
||||
, funnel AS (
|
||||
funnel AS (
|
||||
SELECT
|
||||
trace_id,
|
||||
minIf(timestamp, serviceName = step1.1 AND name = step1.2) AS t1_time,
|
||||
@ -698,60 +705,67 @@ WITH
|
||||
timestamp BETWEEN start_ts AND end_ts
|
||||
AND serviceName IN (step1.1, step2.1, step3.1)
|
||||
AND name IN (step1.2, step2.2, step3.2)
|
||||
AND ((contains_error_t1=0) OR (has_error AND serviceName=step1.1 AND name=step1.2)) %[15]s
|
||||
AND ((contains_error_t2=0) OR (has_error AND serviceName=step2.1 AND name=step2.2)) %[16]s
|
||||
AND ((contains_error_t3=0) OR (has_error AND serviceName=step3.1 AND name=step3.2)) %[17]s
|
||||
AND ((contains_error_t1 = 0) OR (has_error AND serviceName = step1.1 AND name = step1.2)) %[15]s
|
||||
AND ((contains_error_t2 = 0) OR (has_error AND serviceName = step2.1 AND name = step2.2)) %[16]s
|
||||
AND ((contains_error_t3 = 0) OR (has_error AND serviceName = step3.1 AND name = step3.2)) %[17]s
|
||||
GROUP BY trace_id
|
||||
)
|
||||
|
||||
, totals AS (
|
||||
SELECT
|
||||
countIf(t1_time > 0) AS total_s1_spans,
|
||||
countIf(t1_time > 0 AND t2_time > t1_time) AS total_s2_spans,
|
||||
countIf(t1_time > 0 AND t2_time > t1_time AND t3_time > t2_time) AS total_s3_spans,
|
||||
sum(s1_error) AS sum_s1_error,
|
||||
sum(s2_error) AS sum_s2_error,
|
||||
sum(s3_error) AS sum_s3_error,
|
||||
avg((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS avg_duration_12,
|
||||
quantile(%[18]s)((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6) AS latency_12,
|
||||
avg((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time)) / 1e6) AS avg_duration_23,
|
||||
quantile(%[19]s)((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time)) / 1e6) AS latency_23
|
||||
FROM funnel
|
||||
)
|
||||
)
|
||||
`
|
||||
|
||||
const select12 = `
|
||||
const totals12 = `
|
||||
SELECT
|
||||
round(total_s2_spans * 100.0 / total_s1_spans, 2) AS conversion_rate,
|
||||
round(if(total_s1_spans > 0, total_s2_spans * 100.0 / total_s1_spans, 0), 2) AS conversion_rate,
|
||||
total_s2_spans / time_window_sec AS avg_rate,
|
||||
greatest(sum_s1_error, sum_s2_error) AS errors,
|
||||
avg_duration_12 AS avg_duration,
|
||||
latency_12 AS latency
|
||||
FROM totals;
|
||||
FROM (
|
||||
SELECT
|
||||
countIf(t1_time > 0 AND t2_time > t1_time) AS total_s2_spans,
|
||||
countIf(t1_time > 0 AND t2_time > t1_time) AS total_s1_spans, -- eligible only
|
||||
sum(s1_error) AS sum_s1_error,
|
||||
sum(s2_error) AS sum_s2_error,
|
||||
avgIf((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6, t1_time > 0 AND t2_time > t1_time) AS avg_duration_12,
|
||||
quantileIf(%[18]s)((toUnixTimestamp64Nano(t2_time) - toUnixTimestamp64Nano(t1_time)) / 1e6, t1_time > 0 AND t2_time > t1_time) AS latency_12
|
||||
FROM funnel
|
||||
) AS totals;
|
||||
`
|
||||
|
||||
const select23 = `
|
||||
const totals23 = `
|
||||
SELECT
|
||||
round(total_s3_spans * 100.0 / total_s2_spans, 2) AS conversion_rate,
|
||||
round(if(total_s2_spans > 0, total_s3_spans * 100.0 / total_s2_spans, 0), 2) AS conversion_rate,
|
||||
total_s3_spans / time_window_sec AS avg_rate,
|
||||
greatest(sum_s2_error, sum_s3_error) AS errors,
|
||||
avg_duration_23 AS avg_duration,
|
||||
latency_23 AS latency
|
||||
FROM totals;
|
||||
FROM (
|
||||
SELECT
|
||||
countIf(t2_time > 0 AND t3_time > t2_time) AS total_s3_spans,
|
||||
countIf(t2_time > 0 AND t3_time > t2_time) AS total_s2_spans, -- eligible only
|
||||
sum(s2_error) AS sum_s2_error,
|
||||
sum(s3_error) AS sum_s3_error,
|
||||
avgIf((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time)) / 1e6, t2_time > 0 AND t3_time > t2_time) AS avg_duration_23,
|
||||
quantileIf(%[19]s)((toUnixTimestamp64Nano(t3_time) - toUnixTimestamp64Nano(t2_time)) / 1e6, t2_time > 0 AND t3_time > t2_time) AS latency_23
|
||||
FROM funnel
|
||||
) AS totals;
|
||||
`
|
||||
|
||||
var selectTpl string
|
||||
const fallback = `
|
||||
SELECT 0 AS conversion_rate, 0 AS avg_rate, 0 AS errors, 0 AS avg_duration, 0 AS latency;
|
||||
`
|
||||
|
||||
var totalsTpl string
|
||||
switch {
|
||||
case stepStart == 1 && stepEnd == 2:
|
||||
selectTpl = select12
|
||||
totalsTpl = totals12
|
||||
case stepStart == 2 && stepEnd == 3:
|
||||
selectTpl = select23
|
||||
totalsTpl = totals23
|
||||
default:
|
||||
selectTpl = `SELECT 0 AS conversion_rate, 0 AS avg_rate, 0 AS errors, 0 AS avg_duration, 0 AS latency;`
|
||||
totalsTpl = fallback
|
||||
}
|
||||
|
||||
return fmt.Sprintf(
|
||||
baseTpl+selectTpl,
|
||||
baseWithAndFunnel+totalsTpl,
|
||||
containsErrorT1,
|
||||
containsErrorT2,
|
||||
containsErrorT3,
|
||||
|
||||
Loading…
x
Reference in New Issue
Block a user