是通过dm 工具把 64张分表聚合到tidb的一张表，源表每张表的id都是自增主键，因为聚合的需要目标表的id是普通键，不知道适应那种解决方案 规避或解决方案？
热点问题，直接官网搜就OK，至于选那个方式定位解决，都OK，热点可视化是 dashboard ，直接官网搜关键字查询怎么用即可
table-regions.py ，数据量太大的话脚本 查不出了
更新下脚本可以了
[RECORD - mars_k_order.inquiry_order_new] - Leaders Distribution:
total leader count: 2229
store: 26085, num_leaders: 380, percentage: 17.05%
store: 26380, num_leaders: 406, percentage: 18.21%
store: 122029, num_leaders: 344, percentage: 15.43%
store: 91029, num_leaders: 358, percentage: 16.06%
store: 90871, num_leaders: 400, percentage: 17.95%
store: 26584, num_leaders: 341, percentage: 15.30%
[RECORD - mars_k_order.inquiry_order_new] - Peers Distribution:
total peers count: 8916
store: 80417, num_peers(num_learners): 2229( 2229), percentage: 25.00%
store: 26085, num_peers(num_learners): 1058( 0), percentage: 11.87%
store: 26380, num_peers(num_learners): 1134( 0), percentage: 12.72%
store: 122029, num_peers(num_learners): 1106( 0), percentage: 12.40%
store: 91029, num_peers(num_learners): 1112( 0), percentage: 12.47%
store: 90871, num_peers(num_learners): 1180( 0), percentage: 13.23%
store: 26584, num_peers(num_learners): 1097( 0), percentage: 12.30%
[INDEX - uq_inquiry_order_no] - Leaders Distribution:
total leader count: 973
store: 26085, num_leaders: 130, percentage: 13.36%
store: 26380, num_leaders: 157, percentage: 16.14%
store: 122029, num_leaders: 165, percentage: 16.96%
store: 91029, num_leaders: 179, percentage: 18.40%
store: 90871, num_leaders: 165, percentage: 16.96%
store: 26584, num_leaders: 177, percentage: 18.19%
[INDEX - idx_provider_app_id] - Leaders Distribution:
total leader count: 983
store: 26085, num_leaders: 173, percentage: 17.60%
store: 26380, num_leaders: 150, percentage: 15.26%
store: 122029, num_leaders: 154, percentage: 15.67%
store: 91029, num_leaders: 164, percentage: 16.68%
store: 90871, num_leaders: 145, percentage: 14.75%
store: 26584, num_leaders: 197, percentage: 20.04%
[INDEX - create_citycode_create_idx] - Leaders Distribution:
total leader count: 969
store: 26085, num_leaders: 177, percentage: 18.27%
store: 26380, num_leaders: 158, percentage: 16.31%
store: 122029, num_leaders: 143, percentage: 14.76%
store: 91029, num_leaders: 183, percentage: 18.89%
store: 90871, num_leaders: 136, percentage: 14.04%
store: 26584, num_leaders: 172, percentage: 17.75%
[INDEX - idx_order_no] - Leaders Distribution:
total leader count: 967
store: 26085, num_leaders: 146, percentage: 15.10%
store: 26380, num_leaders: 150, percentage: 15.51%
store: 122029, num_leaders: 182, percentage: 18.82%
store: 91029, num_leaders: 159, percentage: 16.44%
store: 90871, num_leaders: 147, percentage: 15.20%
store: 26584, num_leaders: 183, percentage: 18.92%
[INDEX - idx_provider_id] - Leaders Distribution:
total leader count: 954
store: 26085, num_leaders: 175, percentage: 18.34%
store: 26380, num_leaders: 143, percentage: 14.99%
store: 122029, num_leaders: 157, percentage: 16.46%
store: 91029, num_leaders: 146, percentage: 15.30%
store: 90871, num_leaders: 144, percentage: 15.09%
store: 26584, num_leaders: 189, percentage: 19.81%
[INDEX - id] - Leaders Distribution:
total leader count: 943
store: 26085, num_leaders: 144, percentage: 15.27%
store: 26380, num_leaders: 133, percentage: 14.10%
store: 122029, num_leaders: 139, percentage: 14.74%
store: 91029, num_leaders: 176, percentage: 18.66%
store: 90871, num_leaders: 166, percentage: 17.60%
store: 26584, num_leaders: 185, percentage: 19.62%
[INDEX - uq_inquiry_order_no] - Peers Distribution:
total peers count: 2919
store: 26085, num_peers(num_learners): 456( 0), percentage: 15.62%
store: 26380, num_peers(num_learners): 432( 0), percentage: 14.80%
store: 122029, num_peers(num_learners): 525( 0), percentage: 17.99%
store: 91029, num_peers(num_learners): 552( 0), percentage: 18.91%
store: 90871, num_peers(num_learners): 473( 0), percentage: 16.20%
store: 26584, num_peers(num_learners): 481( 0), percentage: 16.48%
[INDEX - idx_provider_app_id] - Peers Distribution:
total peers count: 2949
store: 26085, num_peers(num_learners): 487( 0), percentage: 16.51%
store: 26380, num_peers(num_learners): 434( 0), percentage: 14.72%
store: 122029, num_peers(num_learners): 499( 0), percentage: 16.92%
store: 91029, num_peers(num_learners): 517( 0), percentage: 17.53%
store: 90871, num_peers(num_learners): 446( 0), percentage: 15.12%
store: 26584, num_peers(num_learners): 566( 0), percentage: 19.19%
[INDEX - create_citycode_create_idx] - Peers Distribution:
total peers count: 2907
store: 26085, num_peers(num_learners): 479( 0), percentage: 16.48%
store: 26380, num_peers(num_learners): 440( 0), percentage: 15.14%
store: 122029, num_peers(num_learners): 466( 0), percentage: 16.03%
store: 91029, num_peers(num_learners): 543( 0), percentage: 18.68%
store: 90871, num_peers(num_learners): 468( 0), percentage: 16.10%
store: 26584, num_peers(num_learners): 511( 0), percentage: 17.58%
[INDEX - idx_order_no] - Peers Distribution:
total peers count: 2901
store: 26085, num_peers(num_learners): 457( 0), percentage: 15.75%
store: 26380, num_peers(num_learners): 439( 0), percentage: 15.13%
store: 122029, num_peers(num_learners): 533( 0), percentage: 18.37%
store: 91029, num_peers(num_learners): 514( 0), percentage: 17.72%
store: 90871, num_peers(num_learners): 462( 0), percentage: 15.93%
store: 26584, num_peers(num_learners): 496( 0), percentage: 17.10%
[INDEX - idx_provider_id] - Peers Distribution:
total peers count: 2862
store: 26085, num_peers(num_learners): 503( 0), percentage: 17.58%
store: 26380, num_peers(num_learners): 441( 0), percentage: 15.41%
store: 122029, num_peers(num_learners): 505( 0), percentage: 17.65%
store: 91029, num_peers(num_learners): 464( 0), percentage: 16.21%
store: 90871, num_peers(num_learners): 452( 0), percentage: 15.79%
store: 26584, num_peers(num_learners): 497( 0), percentage: 17.37%
[INDEX - id] - Peers Distribution:
total peers count: 2829
store: 26085, num_peers(num_learners): 467( 0), percentage: 16.51%
store: 26380, num_peers(num_learners): 410( 0), percentage: 14.49%
store: 122029, num_peers(num_learners): 483( 0), percentage: 17.07%
store: 91029, num_peers(num_learners): 488( 0), percentage: 17.25%
store: 90871, num_peers(num_learners): 484( 0), percentage: 17.11%
store: 26584, num_peers(num_learners): 497( 0), percentage: 17.57%
我看分布挺均匀的
这个表打散热点再看看
你有的节点 IO 已经 100% 了，其他的还很低，建议 1、你找到 hot write 对应的 region，确定一下哪个表，然后打散一下 2、看看 慢 SQL 3、检查是否其他进程占用 IO。另外，hot region 可以通过 API、dashboard、查询表 都可以找到，具体官网直接搜索
截图是es的服务器，不是tidb的服务器
热点表打散了，可是效果不明显
1、重新给一下 你的集群监控图把，你给的哪个看不见图，都是表达式
dm 有办法批量处理吗？批量入库？ ```
batch: 100这个参数设置后，tidb看到怎么还是单条插入呢
具体只的是什么阶段？ 全量导入还是增量同步过程？ 配置参数是否正确，这个问题，建议您可以具体描述，上传配置文件，在一个新的 DM 帖子中咨询下，多谢。
增量同步过程
就是入库超级慢
整的快想放弃tidb了
分析慢的原因，建议先看一下下游 tidb 是否出现异常，或单纯的并发不够。这都需要查看监控，上面给的监控信息太乱了，最好重新整理一下，只给出只和 tidb 集群相关的监控