Flask-RESTful Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs. It is a lightweight abstraction that works with your existing ORM/libraries. Flask-RESTful encourages Flask-RESTful should be easy to pick up. User’s Guide This part of the documentation will show you how to get started in using Flask- RESTful with Flask. Installation Quickstart A Minimal API Resourceful Url & Other Concrete Fields Complex Structures List Field Advanced : Nested Field Extending Flask-RESTful Content Negotiation Custom Fields & Inputs Response Formats Resource Method Decorators Custom Error

Flask-RESTful Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs. It is a lightweight abstraction that works with your existing ORM/libraries. Flask-RESTful encourages Flask-RESTful should be easy to pick up. User’s Guide This part of the documentation will show you how to get started in using Flask- RESTful with Flask. Installation Quickstart A Minimal API Resourceful Url & Other Concrete Fields Complex Structures List Field Advanced : Nested Field Extending Flask-RESTful Content Negotiation Custom Fields & Inputs Response Formats Resource Method Decorators Custom Error

Flask-RESTful Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs. It is a lightweight abstraction that works with your existing ORM/libraries. Flask-RESTful encourages Flask-RESTful should be easy to pick up. User’s Guide This part of the documentation will show you how to get started in using Flask- RESTful with Flask. Installation Quickstart A Minimal API Resourceful Url & Other Concrete Fields Complex Structures List Field Advanced : Nested Field Extending Flask-RESTful Content Negotiation Custom Fields & Inputs Response Formats Resource Method Decorators Custom Error

Flask-RESTful Flask-RESTful is an extension for Flask that adds support for quickly building REST APIs. It is a lightweight abstraction that works with your existing ORM/libraries. Flask-RESTful encourages Flask-RESTful should be easy to pick up. User’s Guide This part of the documentation will show you how to get started in using Flask- RESTful with Flask. Installation Quickstart A Minimal API Resourceful Url & Other Concrete Fields Complex Structures List Field Advanced : Nested Field Extending Flask-RESTful Content Negotiation Custom Fields & Inputs Response Formats Resource Method Decorators Custom Error

for the management of service instances, such as start, stop, supervise, etc., consisting of Engine, API, Command Line. And supports two modes of running service: native process mode and docker container core part of the Baetyl, responsible for managing Volume and Service, built-in Engine, external RESTful API and command line. Module: Provides an executable package for Service, such as a docker image, to it manages all storage volumes and services, has a built-in runtime engine system, and provides RESTful APIs and command lines. The start and stop process of the Master is as follows: 1. Execute the

for the management of service instances, such as start, stop, supervise, etc., consisting of Engine, API, Command Line. And supports two modes of running service: native process mode and docker container core part of the Baetyl, responsible for managing Volume and Service, built-in Engine, external RESTful API and command line. Module: Provides an executable package for Service, such as a docker image, to it manages all storage volumes and services, has a built-in runtime engine system, and provides RESTful APIs and command lines. The start and stop process of the Master is as follows: 1. Execute the

Open Database Connectivity (ODBC) interface over a JDBC-to-ODBC bridge to communicate with Kyuubi. RESTful APIs It provides system management APIs, including engines, sessions, operations, and miscellaneous Drivers Command Line Interface(CLI)s Business Intelligence Tools and SQL IDEs ODBC Drivers Thrift APIs RESTful APIs and Clients Web UI Python Client Commons Extension Guide Extensions Server Side Extensions kyuubi-0 -n kyuubi Getting Started with Hive JDBC How to get the Kyuubi JDBC driver Kyuubi Thrift API is fully compatible with HiveServer2, so technically, it allows to use any Hive JDBC driver to connect

Drivers Command Line Interface(CLI)s Business Intelligence Tools and SQL IDEs ODBC Drivers Thrift APIs RESTful APIs and Clients Web UI Python Client Commons Extension Guide Extensions Server Side Extensions t.c… Or, you can manipulate data from different data sources with the Spark Datasource/Flink Table API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t.c… Installation To install Kyuubi at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_ge t_table_req(ThriftHiveMetastore.java:1567) at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_tab le

Drivers Command Line Interface(CLI)s Business Intelligence Tools and SQL IDEs ODBC Drivers Thrift APIs RESTful APIs and Clients Web UI Python DB-APIs Client Commons Extension Guide Extensions Server Side Extensions t.c… Or, you can manipulate data from different data sources with the Spark Datasource/Flink Table API, e.g. Delta Lake, Apache Hudi, Apache Iceberg, Apache Kudu and e.t.c… Installation To install Kyuubi at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.recv_ge t_table_req(ThriftHiveMetastore.java:1567) at org.apache.hadoop.hive.metastore.api.ThriftHiveMetastore$Client.get_tab le

Specific Hostnames Routing File Extensions Connecting Scoped Middleware Grouping Middleware RESTful Routing Creating Nested Resource Routes Limiting the Routes Created Changing the Controller Actions Streams Using the FileLog Adapter Logging to Syslog Writing to Logs Using Levels Logging Scopes Log API Convenience Methods Logging Trait Using Monolog Modelless Forms Creating a Form Setting Form Values Map File Manage Your Plugins using Mixer REST The Simple Setup Accepting Input in Other Formats RESTful Routing Security Security Utility Encrypting and Decrypting Data Hashing Data Getting Secure Random