Redis ● Sidecar istio-proxy encrypts the Redis traffic and sends to external redis ● App doesn’t need to configure certs ● Traffic becomes more “visible” How traffic looks like before TLS origination

. 495 /metadata/${databaseName}/rules/sharding/tables/t_order/versions/0 . . . . . . 496 /metadata/databaseName/schemas/{schemaName}/tables/t_order/versions/0 . . 496 /nodes/compute_nodes . . . . on the underlying database, which can scale computing and storage horizontally. D is tr ib ut ed T ra ns ac ti on Transactional capability is key to ensuring database integrity and security and is endings, are t_order_0 to t_order_9, and their logical table names are t_order. Actual Table Physical tables that exist in the horizontally sharded databases. Those are, t_order_0 to t_order_9 in the

. 524 /metadata/${databaseName}/rules/sharding/tables/t_order/versions/0 . . . . . . 525 /metadata/databaseName/schemas/{schemaName}/tables/t_order/versions/0 . . 525 /nodes/compute_nodes . . . . on the underlying database, which can scale computing and storage horizontally. D is tr ib ut ed T ra ns ac ti on Transactional capability is key to ensuring database integrity and security and is endings, are t_order_0 to t_order_9, and their logical table names are t_order. Actual Table Physical tables that exist in the horizontally sharded databases. Those are, t_order_0 to t_order_9 in the

. . . . . . . . . . . . . . . . . . . 498 8.4.1 Encryption How to solve that data encryption can’t work with JPA? . . . . 498 8.5 DistSQL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . endings, are t_order_0 to t_order_9, and their logical table names are t_order. Actual Table Physical tables that exist in the horizontally sharded databases. Those are, t_order_0 to t_order_9 in the or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id and are correlated using order_id

. . . . . . . . . . . . . . . . 307 7.7.16 16. [Encryption] How to solve that data encryption can’t work with JPA? . 308 7.7.17 17. [DistSQL] How to set custom JDBC connection properties or connection Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data Sharding Data Encrypt Multi‐model Databases Sup‐ ported Shadow D atabase Readwrit ‘file://component1’, ‘file://component2’ SHOW CREATE USER user REPAIR TABLE t_order OPTIMIZE TABLE t_order CHECKSUM TABLE t_order CHECK TABLE t_order SET RESOURCE GROUP group_name DROP RESOURCE GROUP group_name

. . . . . . . . . . . . . . . . . . . 459 8.4.1 Encryption How to solve that data encryption can’t work with JPA? . . . . 459 8.5 DistSQL . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . endings, are t_order_0 to t_order_9, and their logical table names are t_order. Actual Table Physical tables that exist in the horizontally sharded databases. Those are, t_order_0 to t_order_9 in the or cross‐library association will occur, affecting query efficiency. For example, if the t_order table and t_order_item table are both sharded according to order_id and are correlated using order_id

. . . . . . . . . . . . . . . . . . 362 7.8.17 [Encryption] How to solve that data encryption can’t work with JPA? . . . 362 7.8.18 [DistSQL] How to set custom JDBC connection properties or connection Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data Sharding Data Encrypt Heterogeneous Databases Sup‐ ported Shadow D atabase Readwrit COMPONENT ‘file://component1’, ‘file://component2’ REPAIR TABLE t_order OPTIMIZE TABLE t_order CHECKSUM TABLE t_order CHECK TABLE t_order SET RESOURCE GROUP group_name DROP RESOURCE GROUP group_name

. . . . . . . . . . . . . . . . . . 350 7.8.17 [Encryption] How to solve that data encryption can’t work with JPA? . . . 350 7.8.18 [DistSQL] How to set custom JDBC connection properties or connection Solution S olutions/ Fea- tures • Distributed Database* Data Security Database Gateway Stress T esting Data Sharding Data Encrypt Heterogeneous Databases Sup‐ ported Shadow D atabase Readwrit COMPONENT ‘file://component1’, ‘file://component2’ REPAIR TABLE t_order OPTIMIZE TABLE t_order CHECKSUM TABLE t_order CHECK TABLE t_order SET RESOURCE GROUP group_name DROP RESOURCE GROUP group_name

aggregate the scattered data into the same system and execute secondary processing to generate a T+0 or T+1 report. The traditional solution is to use ETL and Hadoop, but the Hadoop system is complicated time range. User document, #21094 The examples of AS OF TIMESTAMP are as follows: SELECT * FROM t AS OF TIMESTAMP '2020-09-06 00:00:00'; START TRANSACTION READ ONLY AS OF TIMESTAMP '2020-09-06 00:00:00'; following situation might happen: 64 mysql> CREATE TABLE t(id INT UNIQUE KEY AUTO_INCREMENT); Query OK, 0 rows affected (0.05 sec) mysql> INSERT INTO t VALUES(),(),(); Query OK, 3 rows affected (0.00 sec)

· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · 2996 15.7 T· · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · · aggregate the scattered data into the same system and execute secondary processing to generate a T+0 or T+1 report. The traditional solution is to use ETL and Hadoop, but the Hadoop system is complicated expressions – Fix the possible Block schema mismatch error of the Exchange operator – Fix the possible Can't compare error when comparing Decimal types – Fix the 3rd arguments of function substringUTF8 must be