#Mysql enterprise monitor price update#
#Mysql enterprise monitor price full#

#Mysql enterprise monitor price update#

Tencent has optimized the scheduling algorithms of thread pools to address extreme situations where query and update requests are unevenly distributed among thread groups when the system is under heavy pressure. There are three read-write separation schemes: read-only account, /*slave*/, and read-only instance. If multiple slaves are configured, read requests will be automatically assigned to low-load slaves by TProxy to support the read traffic of large applications.

Each slave in the master-slave architecture can be read-only. TDSQL supports read-write separation by default. This feature can balance data distribution and access while improving query efficiency, and are ideal for business scenarios where historical data needs to be deleted regularly, such as game match scores and IoT sensor data. TDSQL also supports table partitioning on top of sharding, i.e., adding an additional layer of logical partition (aka secondary partition) to the horizontally sharded table. SQL statements can be passed through to a specified target shard through annotation (hint) to improve performance and operating flexibility. The auto-increment sequence provides a globally unique numerical ID service to ensure the global uniqueness of data entries such as unique keys and primary keys in a distributed environment.

As a single table is not split, it is fully compatible with MySQL during use. This solution is usually ideal for database tables with a small amount of data. Single table: a table that does not need to be sharded. A broadcast table can converge joint queries (joins) and transactions between two tables to a single node for improved performance This solution is usually suitable for configuration tables or tables that require frequent joins with fewer data updates.

#Mysql enterprise monitor price full#

This solution is usually applicable to large and rapidly growing tables storing more than 20 million rows of data (over 50 GB) Д«roadcast table: all operations are broadcast to all logical shards, which means that each shard has the full data of the table. Sharded table: a horizontally split table. If interested, you can check out the JSON capability comparison between TDSQL and MongoDB. The JSON support of TDSQL is based on MySQL, which slightly differs from MongoDB in terms of usage. If you want to use JSON types and do not want to compromise on traditional databases capabilities such as data consistency, transactions, and joins, TDSQL will be a good choice. TDSQL supports storing JSON formatted data, making JSON processing more efficient and enabling early detection of errors. If cross-physical node data is involved, the proxy will first pull data from other nodes and cache it, in which case performance will be compromised due to network data transfer. In this case, it is equivalent to performing a standalone join which has the best performance. If a join-related table has a shardkey equality condition, thanks to the consistency principle of sharding, this part of data will be automatically stored to the same physical node. TDSQL supports JOIN (joint query) operations across physical nodes, namely, distributed joins. Currently, this capability is exclusive to MySQL 5.7. Its cross-node transaction performance is about 70% of a single node, which is roughly 56% higher than that of XA, an open-source distributed transaction protocol. TDSQL supports distributed transactions through two-phase commit, making it ideal for scenarios such as money transfer, billing, and payment. These include MySQL's language structures, character sets, time zones, data types, common functions, preprocessing protocols, sorts, joins (JOIN), stored procedures, indices, partitions, transactions, control commands as well as common DDL, DML, and DCL commands and database access APIs. Compatible with frequently used MySQL syntax elements