积分充值
 首页
前端开发
AngularDartElectronFlutterHTML/CSSJavaScriptReactSvelteTypeScriptVue.js构建工具
后端开发
.NetC#C++C语言DenoffmpegGoIdrisJavaJuliaKotlinLeanMakefilenimNode.jsPascalPHPPythonRISC-VRubyRustSwiftUML其它语言区块链开发测试微服务敏捷开发架构设计汇编语言
数据库
Apache DorisApache HBaseCassandraClickHouseFirebirdGreenplumMongoDBMySQLPieCloudDBPostgreSQLRedisSQLSQLiteTiDBVitess数据库中间件数据库工具数据库设计
系统运维
AndroidDevOpshttpdJenkinsLinuxPrometheusTraefikZabbix存储网络与安全
云计算&大数据
Apache APISIXApache FlinkApache KarafApache KyuubiApache OzonedaprDockerHadoopHarborIstioKubernetesOpenShiftPandasrancherRocketMQServerlessService MeshVirtualBoxVMWare云原生CNCF机器学习边缘计算
综合其他
BlenderGIMPKiCadKritaWeblate产品与服务人工智能亿图数据可视化版本控制笔试面试
文库资料
前端
AngularAnt DesignBabelBootstrapChart.jsCSS3EchartsElectronHighchartsHTML/CSSHTML5JavaScriptJerryScriptJestReactSassTypeScriptVue前端工具小程序
后端
.NETApacheC/C++C#CMakeCrystalDartDenoDjangoDubboErlangFastifyFlaskGinGoGoFrameGuzzleIrisJavaJuliaLispLLVMLuaMatplotlibMicronautnimNode.jsPerlPHPPythonQtRPCRubyRustR语言ScalaShellVlangwasmYewZephirZig算法
移动端
AndroidAPP工具FlutterFramework7HarmonyHippyIoniciOSkotlinNativeObject-CPWAReactSwiftuni-appWeex
数据库
ApacheArangoDBCassandraClickHouseCouchDBCrateDBDB2DocumentDBDorisDragonflyDBEdgeDBetcdFirebirdGaussDBGraphGreenPlumHStreamDBHugeGraphimmudbIndexedDBInfluxDBIoTDBKey-ValueKitDBLevelDBM3DBMatrixOneMilvusMongoDBMySQLNavicatNebulaNewSQLNoSQLOceanBaseOpenTSDBOracleOrientDBPostgreSQLPrestoDBQuestDBRedisRocksDBSequoiaDBServerSkytableSQLSQLiteTiDBTiKVTimescaleDBYugabyteDB关系型数据库数据库数据库ORM数据库中间件数据库工具时序数据库
云计算&大数据
ActiveMQAerakiAgentAlluxioAntreaApacheApache APISIXAPISIXBFEBitBookKeeperChaosChoerodonCiliumCloudStackConsulDaprDataEaseDC/OSDockerDrillDruidElasticJobElasticSearchEnvoyErdaFlinkFluentGrafanaHadoopHarborHelmHudiInLongKafkaKnativeKongKubeCubeKubeEdgeKubeflowKubeOperatorKubernetesKubeSphereKubeVelaKumaKylinLibcloudLinkerdLonghornMeiliSearchMeshNacosNATSOKDOpenOpenEBSOpenKruiseOpenPitrixOpenSearchOpenStackOpenTracingOzonePaddlePaddlePolicyPulsarPyTorchRainbondRancherRediSearchScikit-learnServerlessShardingSphereShenYuSparkStormSupersetXuperChainZadig云原生CNCF人工智能区块链数据挖掘机器学习深度学习算法工程边缘计算
UI&美工&设计
BlenderKritaSketchUI设计
网络&系统&运维
AnsibleApacheAWKCeleryCephCI/CDCurveDevOpsGoCDHAProxyIstioJenkinsJumpServerLinuxMacNginxOpenRestyPrometheusServertraefikTrafficUnixWindowsZabbixZipkin安全防护系统内核网络运维监控
综合其它
文章资讯
 上传文档  发布文章  登录账户
IT文库
  • 综合
  • 文档
  • 文章

无数据

分类

全部数据库(9)Vitess(9)

语言

全部英语(9)

格式

全部PDF文档 PDF(9)
 
本次搜索耗时 0.150 秒,为您找到相关结果约 9 个.
  • 全部
  • 数据库
  • Vitess
  • 全部
  • 英语
  • 全部
  • PDF文档 PDF
  • 默认排序
  • 最新排序
  • 页数排序
  • 大小排序
  • 全部时间
  • 最近一天
  • 最近一周
  • 最近一个月
  • 最近三个月
  • 最近半年
  • 最近一年
  • pdf文档 The Vitess 7.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 254 页 | 949.63 KB | 1 年前
    3
  • pdf文档 The Vitess 11.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 481 页 | 3.14 MB | 1 年前
    3
  • pdf文档 The Vitess 10.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 455 页 | 3.07 MB | 1 年前
    3
  • pdf文档 The Vitess 9.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 18 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 417 页 | 2.96 MB | 1 年前
    3
  • pdf文档 The Vitess 12.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 22 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . Writes will go cross-cell when necessary, to wherever the primary for that shard resides. 22 Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 534 页 | 3.32 MB | 1 年前
    3
  • pdf文档 The Vitess 8.0 Documentation

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 19 Execution Plans . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . cell. Writes will go cross-cell when necessary, to wherever the master for that shard resides. Execution Plans Vitess parses queries at both the VTGate and VTTablet layer in order to evaluate the best to execute a query. This evaluation is known as query planning, and results in a query execution plan. The Execution Plan is dependent on both the query and the associated VSchema. One of the underlying
    0 码力 | 331 页 | 1.35 MB | 1 年前
    3
  • pdf文档 Pentest-Report Vitess 02.2019

    for filter circumvention did not uncover any methods to successfully achieve Remote Code Execution. All enumerated endpoints were investigated for bypasses of the described protections without success success in a form of a compromise. • Quite a few of the mentioned endpoints allow execution of the SQL statements either as the Database administrator or the Application user. The testers sought to escalate In this realm, it is possible to supply additional Vitess runtime options during the execution of the SQL statements via special ‘/*vt+’ directives; nothing particularly wrong with those extensions
    0 码力 | 9 页 | 155.02 KB | 1 年前
    3
  • pdf文档 The Vitess 6.0 Documentation

    turn pulls events from the binary log of the underlying MySQL instance. This allows for efficient execution of functions such as VReplication where a subscriber can indirectly receive events from the binary modifications are not required. OLAP Workload By default, Vitess sets some intentional restrictions on the execution time and number of rows that a query can return. This default workload mode is called OLTP. This per query. 177 Mysql Mysql is a histogram variable like Queries, except that it reports MySQL execution times. The categories are “Exec” and “ExecStream”. In the past, the exec time difference between
    0 码力 | 210 页 | 846.79 KB | 1 年前
    3
  • pdf文档 The Vitess 5.0 Documentation

    events from a VStreamer which in turn pulls events from the binlog. This would allow for efficient execution of processes such as VReplication where a subscriber can indirectly receive and apply events from modifications are not required. OLAP Workload By default, Vitess sets some intentional restrictions on the execution time and number of rows that a query can return. This default workload mode is called OLTP. This returned per query. Mysql Mysql is a histogram variable like Queries, except that it reports MySQL execution times. The categories are “Exec” and “ExecStream”. In the past, the exec time difference between
    0 码力 | 206 页 | 875.06 KB | 1 年前
    3
共 9 条
  • 1
前往
页
相关搜索词
TheVitess7.0Documentation11.010.0Documentation9.012.08.0PentestReport02.20196.05.0
IT文库
关于我们 文库协议 联系我们 意见反馈 免责声明
本站文档数据由用户上传或本站整理自互联网,不以营利为目的,供所有人免费下载和学习使用。如侵犯您的权益,请联系我们进行删除。
IT文库 ©1024 - 2025 | 站点地图
Powered By MOREDOC AI v3.3.0-beta.70
  • 关注我们的公众号【刻舟求荐】,给您不一样的精彩
    关注我们的公众号【刻舟求荐】,给您不一样的精彩