TiKV �→ enables remote processing of heap profiles. You can now directly �→ access the flame graph and call graph of heap profile. This feature 38 �→ provides the same simple and easy-to-use experience 0, TiKV enables remote processing of heap profiles. You can now directly access the flame graph and call graph of heap profile. This feature provides the same simple and easy-to-use experience as Go heap following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears TiDB needs to compile and generate an execution plan for each SQL statement. Figure 194: flame-graph-for-query-interface • ExecuteStmt cpu = 38% cpu time = 23.84s • Compile cpu = 27% cpu time = 17.17s

LlamaIndex Moreover, you can also use TiDB for various purposes, such as document storage and knowledge graph storage for AI applications. 4.8.3.1.2 Embedding models and services TiDB Vector Search supports View index build progress. 546 4.8.4.3 Reduce vector dimensions or shorten embeddings The computational complexity of vector search indexing and queries increases signifi- cantly as the dimension of following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater

LlamaIndex Moreover, you can also use TiDB for various purposes, such as document storage and knowledge graph storage for AI applications. 4.8.3.1.2 Embedding models and services TiDB Vector Search supports View index build progress. 541 4.8.4.3 Reduce vector dimensions or shorten embeddings The computational complexity of vector search indexing and queries increases signifi- cantly as the dimension of following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears TiDB needs to compile and generate an execution plan for each SQL statement. Figure 194: flame-graph-for-query-interface • ExecuteStmt cpu = 38% cpu time = 23.84s • Compile cpu = 27% cpu time = 17.17s

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears TiDB needs to compile and generate an execution plan for each SQL statement. Figure 194: flame-graph-for-query-interface • ExecuteStmt cpu = 38% cpu time = 23.84s • Compile cpu = 27% cpu time = 17.17s

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears TiDB needs to compile and generate an execution plan for each SQL statement. Figure 196: flame-graph-for-query-interface • ExecuteStmt cpu = 38% cpu time = 23.84s • Compile cpu = 27% cpu time = 17.17s

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears TiDB needs to compile and generate an execution plan for each SQL statement. Figure 196: flame-graph-for-query-interface • ExecuteStmt cpu = 38% cpu time = 23.84s • Compile cpu = 27% cpu time = 17.17s

real time when TiDB clusters are running. You can check the performance analysis result in a flame graph, which is more observ- able and shortens troubleshooting time. This feature is disabled by default following is an example of the thermal diagram 462 shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears

following is an example of the thermal diagram shown by Key Visualizer. The horizontal axis of the graph is time, and the vertical axis are various tables and indexes. The brighter the color, the greater 1 The following bright diagonal lines (oblique upward or downward) can appear in the write flow graph. Because the write only appears at the end, as the number of table Regions becomes larger, it appears option. They can dynamically insert trace code without restarting the application process. Flame graph Obtaining flame graphs in Java applications is tedious. For details, see Java Flame Graphs Introduction: