restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating architecture has a high cost. – Five replicas are configured in three DCs in two cities, data redundancy increases, which brings a higher storage cost. 10.2.2.1 Deployment details The configuration restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating

restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating architecture has a high cost. – Five replicas are configured in three DCs in two cities, data redundancy increases, which brings a higher storage cost. 10.2.2.1 Deployment details The configuration restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating

restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating architecture has a high cost. – Five replicas are configured in three DCs in two cities, data redundancy increases, which brings a higher storage cost. 10.2.2.1 Deployment details The configuration restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating

restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating architecture has a high cost. – Five replicas are configured in three DCs in two cities, data redundancy increases, which brings a higher storage cost. 10.2.2.1 Deployment details The configuration restoration. For more information, see Restore Cluster Data. • Aggregating these backup data might cause redundancy and bring trou- bles to operation and maintenance. Even worse, if restoring data without aggregating

plan cache, instance-level execution plan cache offers the following advantages: • Eliminates redundancy, caching more execution plans with the same memory consumption. • Allocates a fixed-size memory valid index, operations such as INSERT and REPLACE are not reentrant, so there is a risk of data redundancy. TiCDC guarantees that data is distributed only at least once during the replication process. Therefore feature to replicate tables without a valid index will definitely cause data redundancy. If you do not accept data redundancy, it is recommended to add an effective index, such as adding a primary key column

plan cache, instance-level execution plan cache offers the following advantages: • Eliminates redundancy, caching more execution plans with the same memory consumption. • Allocates a fixed-size memory this is not the recommended way to use BR, because collecting the backup data might result in data redundancy and operation and maintenance problems. Organize the backup data directory • Store the snapshot architecture has a high cost. • Five replicas are configured in three AZs in two regions, data redundancy in- creases, which brings a higher storage cost. 12.2.2.1 Deployment details The configuration

architecture has a high cost. • Five replicas are configured in three AZs in two regions, data redundancy in- creases, which brings a higher storage cost. 12.2.2.1 Deployment details The configuration valid index, operations such as INSERT and REPLACE are not reentrant, so there is a risk of data redundancy. TiCDC guarantees that data is distributed only at least once during the replication process. Therefore feature to replicate tables without a valid index will definitely cause data redundancy. If you do not accept data redundancy, it is recommended to add an effective index, such as adding a primary key column

this is not the recommended way to use BR, because collecting the backup data might result in data redundancy and operation and maintenance problems. Organize the backup data directory • Store the snapshot architecture has a high cost. • Five replicas are configured in three AZs in two regions, data redundancy in- creases, which brings a higher storage cost. 12.2.2.1 Deployment details The configuration valid index, operations such as INSERT and REPLACE are not reentrant, so there is a risk of data redundancy. TiCDC guarantees that data is distributed only at least once during the replication process. Therefore

this is not the recommended way to use BR, because collecting the backup data might result in data redundancy and operation and maintenance problems. Organize the backup data directory • Store the snapshot architecture has a high cost. • Five replicas are configured in three AZs in two regions, data redundancy in- creases, which brings a higher storage cost. 12.2.2.1 Deployment details The configuration valid index, operations such as INSERT and REPLACE are not reentrant, so there is a risk of data redundancy. TiCDC guarantees that data is distributed only at least once during the replication process. Therefore

this is not the recommended way to use BR, because collecting the backup data might result in data redundancy and operation and maintenance problems. Organize the backup data directory • Store the snapshot architecture has a high cost. • Five replicas are configured in three AZs in two regions, data redundancy in- creases, which brings a higher storage cost. 12.2.2.1 Deployment details The configuration valid index, operations such as INSERT and REPLACE are not reentrant, so there is a risk of data redundancy. TiCDC guarantees that data is distributed only at least once during the replication process. Therefore