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 0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps parameters to encrypt data during backup: • --crypter.method: Encryption algorithm. Supports three algorithms aes128-ctr/ �→ aes192-ctr/aes256-ctr. The default value is plaintext and indicates no encryp-

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 0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps

When it is 3, the data file contains metadata and token data checksum, and supports multiple hash algorithms. TiFlash logger. �→ count Modified The default value is changed to 10. TiFlash status. �→ metrics_port 0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps parameters to encrypt data during backup: • --crypter.method: Encryption algorithm. Supports three algorithms aes128-ctr/ �→ aes192-ctr/aes256-ctr. The default value is plaintext and indicates no encryp-

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps which uses the inner join to join tables. 4.7.2.3 Join related algorithms 421 TiDB supports the following general table join algorithms. • Index Join • Hash Join • Merge Join The optimizer selects ON b.id = r.book_id GROUP BY b.id ORDER BY b.published_at DESC LIMIT 10; Hints related to join algorithms: • MERGE_JOIN(t1_name [, tl_name …]) • INL_JOIN(t1_name [, tl_name …]) • INL_HASH_JOIN(t1_name

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps which uses the inner join to join tables. 4.7.2.3 Join related algorithms 443 TiDB supports the following general table join algorithms. • Index Join • Hash Join • Merge Join The optimizer selects ON b.id = r.book_id GROUP BY b.id ORDER BY b.published_at DESC LIMIT 10; Hints related to join algorithms: • MERGE_JOIN(t1_name [, tl_name …]) • INL_JOIN(t1_name [, tl_name …]) • INL_HASH_JOIN(t1_name

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 126 3.2 which uses the inner join to join tables. 4.7.2.3 Join related algorithms 438 TiDB supports the following general table join algorithms. • Index Join • Hash Join • Merge Join The optimizer selects ON b.id = r.book_id GROUP BY b.id ORDER BY b.published_at DESC LIMIT 10; Hints related to join algorithms: • MERGE_JOIN(t1_name [, tl_name …]) • INL_JOIN(t1_name [, tl_name …]) • INL_HASH_JOIN(t1_name

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 upstream MPP tasks. This exchange type is often used for Hash Aggregation and Shuffle Hash Join algorithms. • Broadcast: The ExchangeSender operator distributes data to upstream MPP tasks through broadcast

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps following is an example of the thermal diagram 442 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

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps which uses the inner join to join tables. 4.7.2.3 Join related algorithms 413 TiDB supports the following general table join algorithms. • Index Join • Hash Join • Merge Join The optimizer selects ON b.id = r.book_id GROUP BY b.id ORDER BY b.published_at DESC LIMIT 10; Hints related to join algorithms: • MERGE_JOIN(t1_name [, tl_name …]) • INL_JOIN(t1_name [, tl_name …]) • INL_HASH_JOIN(t1_name

0, which allows data exchange between nodes and provides high-performance, high-throughput SQL algorithms. In the MPP mode, the run time of the analytic queries can be significantly reduced. 3.2.2 Steps which uses the inner join to join tables. 4.7.2.3 Join related algorithms 416 TiDB supports the following general table join algorithms. • Index Join • Hash Join • Merge Join The optimizer selects ON b.id = r.book_id GROUP BY b.id ORDER BY b.published_at DESC LIMIT 10; Hints related to join algorithms: • MERGE_JOIN(t1_name [, tl_name …]) • INL_JOIN(t1_name [, tl_name …]) • INL_HASH_JOIN(t1_name