privilege can use the TiCDC Syncpoint feature. • Starting from v8.2.0, TiCDC makes the following adjustments to the generation rules of primary_ts values: • Whenever TiCDC generates a new primary_ts, its 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 optimizations This section shows you how to optimize TiDB for specific scenarios that need targeted adjustments beyond basic optimizations. You will learn how to tune TiDB for your particular use cases. 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. Figure 141: Dashboard optimizations This section shows you how to optimize TiDB for specific scenarios that need targeted adjustments beyond basic optimizations. You will learn how to tune TiDB for your particular use cases. 11 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

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 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

#51547 @YangKeao • Fix the issue that TTL does not handle the transition for daylight saving time adjustments correctly when calculating expiration times #51675 @lcwangchao • Fix the issue that the SURVIVAL_PREFERENCES 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 138: 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

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 135: 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 138: 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 138: 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 138: 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