[style=filled, color=lightgrey] 12. color=black 13. label = "root" 14. "HashRightJoin_7" -> "TableReader_10" 15. "HashRightJoin_7" -> "TableReader_12" 16. } 17. subgraph cluster9{ 18. node [style=filled, color=lightgrey] color=lightgrey] 19. color=black 20. label = "cop" 21. "Selection_9" -> "TableScan_8" 22. } 23. subgraph cluster11{ 24. node [style=filled, color=lightgrey] 25. color=black 26. label = "cop" 27. "TableScan_11"

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. 1657 Figure 171: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 11.1 presents each of them in the following sections: 1772 • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 140: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 11.1 presents each of them in the following sections: • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 140: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 11.1 presents each of them in the following sections: • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 141: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 11.1 presents each of them in the following sections: 1474 • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 140: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 11.1 presents each of them in the following sections: • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 48: Dashboard -------------------+ �→ | digraph Projection_8 { subgraph cluster8{ node [style=filled, color=lightgrey] color=black label = "root" "Projection_8" -> "HashJoin_9" "HashJoin_9" -> "TableReader_13" "HashJoin_9" cluster12{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_12" -> "TableFullScan_11" } subgraph cluster16{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_16"

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 48: Dashboard -------------------+ �→ | digraph Projection_8 { subgraph cluster8{ node [style=filled, color=lightgrey] color=black label = "root" "Projection_8" -> "HashJoin_9" "HashJoin_9" -> "TableReader_13" "HashJoin_9" cluster12{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_12" -> "TableFullScan_11" } subgraph cluster16{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_16"

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. Figure 48: Dashboard -------------------+ �→ | digraph Projection_8 { subgraph cluster8{ node [style=filled, color=lightgrey] color=black label = "root" "Projection_8" -> "HashJoin_9" "HashJoin_9" -> "TableReader_13" "HashJoin_9" cluster12{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_12" -> "TableFullScan_11" } subgraph cluster16{ node [style=filled, color=lightgrey] color=black label = "cop" "Selection_16"

axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater the load. You can switch the read or write flow in the toolbar. 1015 Figure 103: Dashboard TiDB, further identify the exact module in the distributed system based on database time overview, color-based performance data, key metrics, resource utilization, and top-down latency breakdowns. 1076 presents each of them in the following sections: • Database time and SQL execution time overview: Color-coded SQL types, database time by SQL execution phase, and database time of different requests help