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

全部后端开发(16)Python(16)ORM(16)

语言

全部英语(16)

格式

全部PDF文档 PDF(8)其他文档 其他(8)
 
本次搜索耗时 0.066 秒,为您找到相关结果约 16 个.
  • 全部
  • 后端开发
  • Python
  • ORM
  • 全部
  • 英语
  • 全部
  • PDF文档 PDF
  • 其他文档 其他
  • 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
  • epub文档 peewee Documentation Release 0.9.7

    functions, use the special R object to construct queries: # select the users' id, username and the first letter of their username, lower-cased query = User.select(['id', 'username', R('LOWER(SUBSTR(username # now filter this list to include only users whose username begins with "a" a_users = query.where(R('first_letter=%s', 'a')) >>> for user in a_users: ... print user.first_letter, user.username This a_users = User.filter(R('LOWER(SUBSTR(username, 1, 1)) = %s', 'a')) We can write subqueries as part of a SelectQuery, for example counting the number of entries on a blog: entry_query = R('(SELECT COUNT(*)
    0 码力 | 78 页 | 143.68 KB | 1 年前
    3
  • pdf文档 peewee Documentation Release 0.9.7

    functions, use the special R object to construct queries: # select the users’ id, username and the first letter of their username, lower-cased query = User.select([’id’, ’username’, R(’LOWER(SUBSTR(username # now filter this list to include only users whose username begins with "a" a_users = query.where(R(’first_letter=%s’, ’a’)) >>> for user in a_users: ... print user.first_letter, user.username This a_users = User.filter(R(’LOWER(SUBSTR(username, 1, 1)) = %s’, ’a’)) We can write subqueries as part of a SelectQuery, for example counting the number of entries on a blog: entry_query = R(’(SELECT COUNT(*)
    0 码力 | 53 页 | 347.03 KB | 1 年前
    3
  • epub文档 peewee Documentation Release 1.0.0

    functions, use the special R object to construct queries: # select the users' id, username and the first letter of their username, lower-cased query = User.select(['id', 'username', R('LOWER(SUBSTR(username # now filter this list to include only users whose username begins with "a" a_users = query.where(R('first_letter=%s', 'a')) >>> for user in a_users: ... print user.first_letter, user.username This a_users = User.filter(R('LOWER(SUBSTR(username, 1, 1)) = %s', 'a')) We can write subqueries as part of a SelectQuery, for example counting the number of entries on a blog: entry_query = R('(SELECT COUNT(*)
    0 码力 | 101 页 | 163.20 KB | 1 年前
    3
  • pdf文档 peewee Documentation Release 1.0.0

    functions, use the special R object to construct queries: # select the users’ id, username and the first letter of their username, lower-cased query = User.select([’id’, ’username’, R(’LOWER(SUBSTR(username # now filter this list to include only users whose username begins with "a" a_users = query.where(R(’first_letter=%s’, ’a’)) >>> for user in a_users: ... print user.first_letter, user.username This a_users = User.filter(R(’LOWER(SUBSTR(username, 1, 1)) = %s’, ’a’)) We can write subqueries as part of a SelectQuery, for example counting the number of entries on a blog: entry_query = R(’(SELECT COUNT(*)
    0 码力 | 71 页 | 405.29 KB | 1 年前
    3
  • pdf文档 peewee Documentation Release 2.0.2

    expressing the same User.select( User, fn.Count(Tweet.id).alias(’ct’) ).join(Tweet).group_by(User).order_by(R(’ct desc’)) # do an atomic update Counter.update(count=Counter.count + 1).where( Counter.url == request request.url) Let’s find all the users whose username starts with ‘a’ or ‘A’: # 1.0 User.select().where(R(’LOWER(SUBSTR(username, 1, 1)) = %s’, ’a’)) # 2.0 User.select().where(fn.Lower(fn.Substr(User.username are times when you may want to simply pass in some arbitrary sql. You can do this using the special R class. One use-case is when referencing an alias: # we’ll query the user table and annotate it with
    0 码力 | 65 页 | 315.33 KB | 1 年前
    3
  • epub文档 peewee Documentation Release 3.0.0

    interested in more? Check out flask-peewee [https://github.com/coleifer/flask-peewee] - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias() DISTINCT m.firstname || ' ' || m.surname AS member, (SELECT r.firstname || ' ' || r.surname FROM cd.members AS r WHERE m.recommendedby = r.memid) AS recommended FROM members AS m ORDER BY member;
    0 码力 | 319 页 | 361.50 KB | 1 年前
    3
  • epub文档 peewee Documentation Release 3.5.0

    interested in more? Check out flask-peewee [https://github.com/coleifer/flask-peewee] - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee connect(database, **kwargs) def get_tables(self): res = self.execute('SHOW TABLES;') return [r[0] for r in res.fetchall()] Other things the database handles that are not covered here include: last_insert_id() (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()
    0 码力 | 347 页 | 380.80 KB | 1 年前
    3
  • epub文档 peewee Documentation Release 3.4.0

    interested in more? Check out flask-peewee [https://github.com/coleifer/flask-peewee] - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias() DISTINCT m.firstname || ' ' || m.surname AS member, (SELECT r.firstname || ' ' || r.surname FROM cd.members AS r WHERE m.recommendedby = r.memid) AS recommended FROM members AS m ORDER BY member;
    0 码力 | 349 页 | 382.34 KB | 1 年前
    3
  • epub文档 peewee Documentation Release 3.1.0

    interested in more? Check out flask-peewee [https://github.com/coleifer/flask-peewee] - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias() DISTINCT m.firstname || ' ' || m.surname AS member, (SELECT r.firstname || ' ' || r.surname FROM cd.members AS r WHERE m.recommendedby = r.memid) AS recommended FROM members AS m ORDER BY member;
    0 码力 | 332 页 | 370.77 KB | 1 年前
    3
  • pdf文档 peewee Documentation Release 3.5.0

    companion blog post. Note: Like these snippets and interested in more? Check out flask-peewee - a flask plugin that provides a django-like Admin interface, RESTful API, Authentication and more for your peewee foodb.connect(database, **kwargs) def get_tables(self): res = self.execute('SHOW TABLES;') return [r[0] for r in res.fetchall()] Other things the database handles that are not covered here include: • last_insert_id() (surname, firstname). SELECT m.firstname, m.surname, r.firstname, r.surname FROM members AS m LEFT OUTER JOIN members AS r ON (m.recommendedby = r.memid) ORDER BY m.surname, m.firstname MA = Member.alias()
    0 码力 | 282 页 | 1.02 MB | 1 年前
    3
共 16 条
  • 1
  • 2
前往
页
相关搜索词
peeweeDocumentationRelease0.91.02.03.03.53.43.1
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