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| import ast | |
| import compileall | |
| import importlib | |
| import json | |
| import os | |
| import shutil | |
| # --- Configuration --- | |
| # List of packages to process - add more packages here | |
| PACKAGES_TO_PROCESS = [ |
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| Feature | Before Advanced Runtime | After Advanced Runtime | |
|---|---|---|---|
| Query Speed | Standard performance. | Significantly Faster. Benchmarks show ~30% faster runtimes; one case showed a 21x speedup. | |
| Developer Effort | N/A | Zero. A single SQL command enables it for the whole project. | |
| Code Changes | N/A | None. No need to rewrite SQL, change schemas, or alter BI tools. | |
| Cost (On-Demand) | Based on bytes processed | Identical. You're still scanning the same data, so the cost is the same. | |
| Value Proposition | Stable performance. | Massive increase in performance-per-dollar. Faster dashboards, more productive analysts. | |
| Resource Efficiency | Good. | Exceptional. Slot consumption is reduced by ~32%, meaning less internal competition for resources. |
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| main: | |
| params: [event] | |
| steps: | |
| - trainingPipelineCheck: | |
| switch: | |
| - condition: ${not("google.cloud.aiplatform.ui.PipelineService.CreateTrainingPipeline" == event.data.protoPayload.methodName)} | |
| next: end | |
| # proceed further only when we have the CreateTrainingPipeline event | |
| - run: | |
| call: googleapis.workflowexecutions.v1.projects.locations.workflows.executions.run |
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| main: | |
| params: [args] | |
| steps: | |
| - initialize: | |
| assign: | |
| - location: ${default(map.get(args,"location"),"us-central1")} | |
| - trainingPipelineId: ${default(map.get(args,"trainingPipelineId"),"3590189825883373568")} | |
| - destination_dataset: "vertexai_model_history" | |
| - getTrainingPipeline: | |
| call: VertexAI_GetTrainingPipeline |
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| select creation_time, job_id, bi_engine_statistics | |
| from `prj_id.region-us`.INFORMATION_SCHEMA.JOBS_BY_PROJECT | |
| where creation_time BETWEEN TIMESTAMP_SUB(CURRENT_TIMESTAMP(), INTERVAL 1 DAY) AND CURRENT_TIMESTAMP() | |
| and job_type = "QUERY" |
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| DECLARE var_day STRING DEFAULT '2025-09-01'; | |
| with t as ( | |
| SELECT creation_time, | |
| round(6.5* (total_bytes_processed/POWER(2,40) ),2) AS processedBytesCostProjection, | |
| round(6.5* (total_bytes_billed/POWER(2,40) ),2) AS billedBytesCostInUSD | |
| from `prj_id.region-us`.INFORMATION_SCHEMA.JOBS_BY_PROJECT | |
| where creation_time BETWEEN timestamp(var_day) and TIMESTAMP_add(timestamp(var_day), INTERVAL 1 DAY) | |
| and job_type = "QUERY" | |
| ) | |
| SELECT |
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| DECLARE var_day STRING DEFAULT '2025-09-01'; | |
| SELECT creation_time, | |
| round(6.5* (total_bytes_processed/POWER(2,40) ),2) AS processedBytesCostProjection, | |
| round(6.5* (total_bytes_billed/POWER(2,40) ),2) AS billedBytesCostInUSD | |
| from `prj_id.region-us`.INFORMATION_SCHEMA.JOBS_BY_PROJECT | |
| where creation_time BETWEEN timestamp(var_day) and TIMESTAMP_add(timestamp(var_day), INTERVAL 1 DAY) | |
| and job_type = "QUERY" | |
| ORDER BY processedBytesCostProjection desc |
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| substitutions: | |
| _IMAGE_NAME: "gcr.io/${PROJECT_ID}/myimage" | |
| options: | |
| dynamic_substitutions: true | |
| steps: | |
| # Step 0 - Build the container image | |
| - name: "gcr.io/cloud-builders/docker" | |
| args: ["build", "-f", "Dockerfile", "-t", "${_IMAGE_NAME}", "."] | |
| # Step 1 - Minify the container with docker-slim | |
| - name: "gcr.io/cloud-builders/docker" |
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| wrk -t5 -c200 -d300s https://fat-apache-container/php_info.php | |
| Running 5m test @ https://fat-apache-container/php_info.php | |
| 5 threads and 200 connections | |
| Thread Stats Avg Stdev Max +/- Stdev | |
| Latency 546.14ms 380.60ms 2.00s 76.86% | |
| Req/Sec 69.65 43.33 350.00 71.01% | |
| 103361 requests in 5.00m, 7.86GB read | |
| Socket errors: connect 0, read 1, write 0, timeout 2200 | |
| Requests/sec: 344.49 | |
| Transfer/sec: 26.83MB |
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| DECLARE var_day STRING DEFAULT '2022-01-09'; | |
| with t AS ( | |
| SELECT | |
| protopayload_auditlog.servicedata_v1_bigquery.jobCompletedEvent.job.jobStatistics.createTime, | |
| 5* (protopayload_auditlog.servicedata_v1_bigquery .jobCompletedEvent.job.jobStatistics. totalProcessedBytes/POWER(2,40) ) AS processedBytesCostProjection, | |
| 5* (protopayload_auditlog.servicedata_v1_bigquery .jobCompletedEvent.job.jobStatistics. totalBilledBytes/POWER(2,40) ) AS billedBytesCostInUSD | |
| FROM | |
| `<dataset_auditlogs>.cloudaudit_googleapis_com_data_access_*` | |
| WHERE | |
| _TABLE_SUFFIX >= var_day and protopayload_auditlog.servicedata_v1_bigquery.jobCompletedEvent.job.jobStatistics.createTime>=TIMESTAMP(var_day) |
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