to keep transactions consistent. Internet giants have not massively adopted XA based distributed trans‐ actions since they are not able to ensure its performance in high‐concurrency situations. They usually avoid using LIMIT as pagination method, such as constructing a secondary index to record line record number and line offset amount, or using the tail ID of last pagination data as the pagination method of processed based on stream merger and memory merger. Since the result set is returned from database line by line instead of being loaded to the memory all at once, the most prior choice of merger method is

can scale out computing and stor‐ age levels on top of the underlying database. Dis‐ tributed Trans‐ action Transactional capability is key to ensuring database integrity and security and is also some graph database clients, the client or proxy may have an er‐ ror prompt. You can use command‐line clients (mysql, psql, gsql, etc.) to connect to the Proxy’s authentication function. 2.2. ShardingSphere-Proxy does not help to manage the configuration uniformly. But by writing the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse

ShardingSphere-Proxy ShardingSphere‐Proxy is the second product of Apache ShardingSphere. It defines itself as a trans‐ parent database proxy, providing a database server that encapsulates database binary protocol to to keep transactions consistent. Internet giants have not massively adopted XA based distributed trans‐ actions since they are not able to ensure its performance in high‐concurrency situations. They usually It means let each data node to manage their own transactions on the premise that any distributed trans‐ action manager is not on. They do not have any coordination and communication ability, or know other

ShardingSphere-Proxy ShardingSphere‐Proxy is the second product of Apache ShardingSphere. It defines itself as a trans‐ parent database proxy, providing a database server that encapsulates database binary protocol to to keep transactions consistent. Internet giants have not massively adopted XA based distributed trans‐ actions since they are not able to ensure its performance in high‐concurrency situations. They usually It means let each data node to manage their own transactions on the premise that any distributed trans‐ action manager is not on. They do not have any coordination and communication ability, or know other

ShardingSphere-Proxy ShardingSphere‐Proxy is the second product of Apache ShardingSphere. It defines itself as a trans‐ parent database proxy, providing a database server that encapsulates database binary protocol to to keep transactions consistent. Internet giants have not massively adopted XA based distributed trans‐ actions since they are not able to ensure its performance in high‐concurrency situations. They usually It means let each data node to manage their own transactions on the premise that any distributed trans‐ action manager is not on. They do not have any coordination and communication ability, or know other

tributed Trans‐ action Transactional capability is key to ensuring database integrity and security and is also one of the databases’core technologies. With a hybrid engine based on XA and BASE trans‐ actions some graph database clients, the client or proxy may have an er‐ ror prompt. You can use command‐line clients (mysql, psql, gsql, etc.) to connect to the Proxy’s authentication function. 2.2. ShardingSphere-Proxy does not help to manage the configuration uniformly. But by writing the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse

some graph database clients, the client or proxy may have an er‐ ror prompt. You can use command‐line clients (mysql, psql, gsql, etc.) to connect to the Proxy’s authentication function. 7.2. ShardingSphere-Proxy does not help to manage the configuration uniformly. But by writing the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse they cannot switch between each other freely and invisibly. The choice between highly consistent trans‐ actions and soft transactions as early as development decision‐making phase has sharply increased

some graph database clients, the client or proxy may have an er‐ ror prompt. You can use command‐line clients (mysql, psql, gsql, etc.) to connect to the Proxy’s authentication function. 7.2. ShardingSphere-Proxy does not help to manage the configuration uniformly. But by writing the sharding algorithm through line expressions, the rule con‐ figuration can be effectively stored together, which is easier to browse they cannot switch between each other freely and invisibly. The choice between highly consistent trans‐ actions and soft transactions as early as development decision‐making phase has sharply increased

计 <= Dou‐ ble.MAX_ VALUE。| | TRANSACTION_ RANDOM | 显示/非显示开启 事务，读请求采用随机策略路 由到多个 replica| | | TRANS‐ ACTION_ROUND_R OBIN | 显 示/非显示开启事务，读请求采 用轮询策略路由到多个 replica| | | TRANSAC‐ TION_WEIGHT |显 示/非显示开启事务，读请求采 dwritesplitting.algor ithm.loadbalance.Tran sac‐ tionRandomReadQuer yLoad‐ BalanceAlgorithm TRANS ACTION_RO UND_ROBIN 无论是否在事务中，读请求采用 轮询策略路由到多个读库 org.apache.s harding‐ sphere.readwri tesplit‐ 详细说明 全限定类名 XA 基于 XA 的分布式事 务管理器 org.apache .shardingsphe re.transactio n.xa.XAShardi ngSphere‐ Trans actionManager BASE 基于 Seata 的分布式 事务管理器 org.apache.sh ardingsphere. transaction.b ase.seata.at.

0.0-beta 使用实战 语句 说明 sctl:set t ransac‐ tion_type=XX 修改当前连接的事务类型, 支持 LOCAL，XA，BASE。例：sctl:set trans‐ action_type=XA sctl:show transaction_type 查询当前连接的事务类型 sctl:show cached_connections 查询当前连接中缓存的物理数据库连接个数 'mysql_server': [] } with open(path + '/.build_number.txt') as builds: for line in builds: dataset['build_num'].append(int(line)) generate_data(path, case_name, dataset) print(dataset) fig, ax = plt str(build) + '/' + case_name + suffix) as version_ master: value = 0 for line in version_master: if 'transactions:' in line: items = line.split('(') value = float(items[1][:-10]) dataset[version].append(value)