for Tables with Different Schema or Table Names · · · · · · · · 1864 11.12.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 1865 11.12.4 Data Check for Traditional standalone databases cannot meet the data capacity requirements. The solution is to use sharding middleware or a NewSQL database (like TiDB), and the latter is more cost-effective. TiDB adopts Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets

Fully-managed ● Scalable read Cons: ● Single point write (if you want to scale out writer, you still need sharding) ● SQL layer is not designed for complex query ● Reader is eventual consistency ● Memory size and JDBC/ODBC, Applications ... MySQL Wire Protocol heartbeat meta TiDB is not a database middleware Sharding middleware TiDB ACID Transaction Support Mostly Elastic Scaling Complex Query (Join, Sub query, Metadata TiDB architecture Pros: ● Scale-out well on both read and write, without manual sharding or specifying sharding rules ● Full-featured SQL layer which is designed for distributed computing ● ACID sementics

for Tables with Different Schema or Table Names · · · · · · · · 2510 13.14.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 2511 13.14.4 Data Check for Traditional standalone databases cannot meet the data capacity requirements. The solution is to use sharding middleware or a distributed SQL database (like TiDB), and the latter is more cost-effective. TiDB fig- u- ra- tion file. 79 Configuration file Configuration Change type Description DM is- �→ sharding �→ in the task con- fig- u- ra- tion file DeletedReplaced by the shard �→ - �→ mode �→ con- fig-

for Tables with Different Schema or Table Names · · · · · · · · 2855 13.13.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 2856 13.13.4 Data Check in the Traditional standalone databases cannot meet the data capacity requirements. The solution is to use sharding middleware or a distributed SQL database (like TiDB), and the latter is more cost-effective. TiDB Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets

NewSQL - 数据库无限水平扩展的完美解决方案 DB Sharding NewSQL | Ti Project 大数据时代，当单机数据 库容量及处理能力达到瓶 颈时，由于没有完美的分 布式解决方案，业界普遍 采用妥协的数据库分库分 表（Sharding）方案 DB Sharding vs NewSQL DB Sharding NewSQL | TiDB 工作内容 工作量 工作内容 工作量

for Tables with Different Schema or Table Names · · · · · · · · 3030 13.13.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 3035 13.13.4 Data Check in the Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets occur during the merge. Therefore, before migration, you need to take a deep look at the current sharding scheme from the business point of view, and find a way to avoid the conflicts. For more details

for Tables with Different Schema or Table Names · · · · · · · · 3018 13.13.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 3023 13.13.4 Data Check in the Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets occur during the merge. Therefore, before migration, you need to take a deep look at the current sharding scheme from the business point of view, and find a way to avoid the conflicts. For more details

for Tables with Different Schema or Table Names · · · · · · · · 2962 13.13.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 2964 13.13.4 Data Check in the Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets occur during the merge. Therefore, before migration, you need to take a deep look at the current sharding scheme from the business point of view, and find a way to avoid the conflicts. For more details

for Tables with Different Schema or Table Names · · · · · · · · 3220 13.11.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 3224 13.11.4 Data Check in the Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets occur during the merge. Therefore, before migration, you need to take a deep look at the current sharding scheme from the business point of view, and find a way to avoid the conflicts. For more details

for Tables with Different Schema or Table Names · · · · · · · · 3176 13.13.3 Data Check in the Sharding Scenario · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 3180 13.13.4 Data Check in the INFORMATION_ �→ SCHEMA.PARTITIONS is incorrect #54173 @Defined2014 • Fix the issue that the TIDB_ROW_ID_SHARDING_INFO field in the INFORMATION_ �→ SCHEMA.TABLES table is incorrect #52330 @tangenta • Fix the Lightning to quickly merge and import the sharded tables. Then, you can use DM to replicate incremental sharding data (binlog) based on your application needs. • Migrate and Merge MySQL Shards of Large Datasets