Help Center/ Log Tank Service/ User Guide/ Log Visualization/ Visualizing Logs in Dashboards/ Dashboard Templates/ DSL Dashboard Template
Updated on 2025-07-28 GMT+08:00
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DSL Dashboard Template

LTS provides Domain Specific Language (DSL) for one-stop log processing. With domain-defined script languages and more than 200 built-in functions, you can perform end-to-end (E2E) log processing tasks directly on the LTS console, including normalization, enrichment, transfer, anonymization, and filtering.

LTS provides the DSL processing task monitoring center dashboard template to display information such as the processing task ID/name and number of input/output lines.

Prerequisites

DSL Processing Task Monitoring Center

  1. Log in to the LTS console. In the navigation pane, choose Dashboards.
  2. Choose DSL dashboard templates under Dashboard Templates and click DSL processing task monitoring center to view the chart details.

    • Filter by processing task ID. The associated query and analysis statement is: 
      select distinct(task_id)
    • Filter by processing task name. The associated query and analysis statement is: 
      select distinct(task_name)
    • Input Lines. The associated query and analysis statement is: 
      SELECT CASE   WHEN  "input" < 1000 THEN concat( cast( "input" AS VARCHAR ), 'Lines' )  WHEN "input" < 1000 * 1000 THEN concat( cast( round( "input"/ 1000, 1 ) AS VARCHAR ), 'Thousands lines' ) WHEN "input" < 1000000000 THEN concat( cast( round( "input"/ 1000000.0, 1 ) AS VARCHAR ), 'Million lines' )  WHEN "input"/ 1000.0 < 1000000000 THEN concat( cast( round( "input"/ 1000 / 1000000.0, 1 ) AS VARCHAR ), 'Billion lines' ) ELSE concat( cast( round( "input"/ 1000.0 / 1000 / 1000 / 1000, 1 ) AS VARCHAR ), 'Trillion lines' )  END AS  "total"  from (select sum("process.accept") as "input")
    • Output Lines. The associated query and analysis statement is: 
      SELECT CASE   WHEN  "delivered" < 1000 THEN concat( cast( "delivered" AS VARCHAR ), 'Lines' )  WHEN "delivered" < 1000 * 1000 THEN concat( cast( round( "delivered"/ 1000, 1 ) AS VARCHAR ), 'Thousands lines' ) WHEN "delivered" < 1000000000 THEN concat( cast( round( "delivered"/ 1000000.0, 1 ) AS VARCHAR ), 'Million lines' )  WHEN "delivered"/ 1000.0 < 1000000000 THEN concat( cast( round( "delivered"/ 1000 / 1000000.0, 1 ) AS VARCHAR ), 'Billion lines' ) ELSE concat( cast( round( "delivered"/ 1000.0 / 1000 / 1000 / 1000, 1 ) AS VARCHAR ), 'Trillion lines' )  END AS  "total"  from (select sum("process.delivered") as "delivered")
    • Filtered Lines. The associated query and analysis statement is: 
      SELECT CASE   WHEN  "drop" < 1000 THEN concat( cast( "drop" AS VARCHAR ), 'Lines' )  WHEN "drop" < 1000 * 1000 THEN concat( cast( round( "drop"/ 1000, 1 ) AS VARCHAR ), 'Thousands lines' ) WHEN "drop" < 1000000000 THEN concat( cast( round( "drop"/ 1000000.0, 1 ) AS VARCHAR ), 'Million lines' )  WHEN "drop"/ 1000.0 < 1000000000 THEN concat( cast( round( "drop"/ 1000 / 1000000.0, 1 ) AS VARCHAR ), 'Billion lines' ) ELSE concat( cast( round( "drop"/ 1000.0 / 1000 / 1000 / 1000, 1 ) AS VARCHAR ), 'Trillion lines' )  END AS  "total"  from (select sum("process.drop") as "drop")
    • Failed Lines. The associated query and analysis statement is: 
      SELECT CASE   WHEN  "failed" < 1000 THEN concat( cast( "failed" AS VARCHAR ), 'Lines' )  WHEN "failed" < 1000 * 1000 THEN concat( cast( round( "failed"/ 1000, 1 ) AS VARCHAR ), 'Thousands lines' ) WHEN "failed" < 1000000000 THEN concat( cast( round( "failed"/ 1000000.0, 1 ) AS VARCHAR ), 'Million lines' )  WHEN "failed"/ 1000.0 < 1000000000 THEN concat( cast( round( "failed"/ 1000 / 1000000.0, 1 ) AS VARCHAR ), 'Billion lines' ) ELSE concat( cast( round( "failed"/ 1000.0 / 1000 / 1000 / 1000, 1 ) AS VARCHAR ), 'Trillion lines' )  END AS  "total"  from (select sum("process.failed") as "failed")
    • Execution Records. The associated query and analysis statement is: 
      select TIME_FORMAT( MILLIS_TO_TIMESTAMP("start"), 'yyyy-MM-dd HH:mm:ss:SSS', '+08:00') as "Started",TIME_FORMAT( MILLIS_TO_TIMESTAMP("end"), 'yyyy-MM-dd HH:mm:ss:SSS', '+08:00') as "Ended", "process.accept" as "Input Lines", "process.delivered" as "Output Lines", "process.drop" as "Filtered Lines", "process.failed" as "Failed Lines" limit 1000

Parent topic: Dashboard Templates