معرفی شرکت ها


django-db-connection-pool-1.2.2


Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر
Card image cap
تبلیغات ما

مشتریان به طور فزاینده ای آنلاین هستند. تبلیغات می تواند به آنها کمک کند تا کسب و کار شما را پیدا کنند.

مشاهده بیشتر

توضیحات

Persistent database connection backends for Django
ویژگی مقدار
سیستم عامل -
نام فایل django-db-connection-pool-1.2.2
نام django-db-connection-pool
نسخه کتابخانه 1.2.2
نگهدارنده []
ایمیل نگهدارنده []
نویسنده Altair Bow
ایمیل نویسنده altair.bow@foxmail.com
آدرس صفحه اصلی https://github.com/altairbow/django-db-connection-pool
آدرس اینترنتی https://pypi.org/project/django-db-connection-pool/
مجوز MIT
# django-db-connection-pool *:star: Leave a star if django-db-connection-pool is helpful to you, or you like it, Thank you:smile:* MySQL & Oracle & PostgreSQL & JDBC (Oracle, OceanBase) connection pool backends of Django, Be based on [SQLAlchemy](https://github.com/sqlalchemy/sqlalchemy). Work fine in multiprocessing and multithreading django project. * [中文版](README_CN.md) ## Quickstart ### Installation Install with `pip` with all engines: ```bash $ pip install django-db-connection-pool[all] ``` or select specific engines: ```bash $ pip install django-db-connection-pool[mysql,oracle,postgresql,jdbc] ``` or one of mysql,oracle,postgresql,jdbc ```bash $ pip install django-db-connection-pool[oracle] ``` ### Update settings.DATABASES #### MySQL change `django.db.backends.mysql` to `dj_db_conn_pool.backends.mysql`: ```python DATABASES = { 'default': { 'ENGINE': 'dj_db_conn_pool.backends.mysql' } } ``` #### Oracle change `django.db.backends.oracle` to `dj_db_conn_pool.backends.oracle`: ```python DATABASES = { 'default': { 'ENGINE': 'dj_db_conn_pool.backends.oracle' } } ``` #### PostgreSQL change `django.db.backends.postgresql` to `dj_db_conn_pool.backends.postgresql`: ```python DATABASES = { 'default': { 'ENGINE': 'dj_db_conn_pool.backends.postgresql' } } ``` #### Pool options(optional) you can provide additional options to pass to SQLAlchemy's pool creation, key's name is `POOL_OPTIONS`: ```python DATABASES = { 'default': { 'POOL_OPTIONS' : { 'POOL_SIZE': 10, 'MAX_OVERFLOW': 10, 'RECYCLE': 24 * 60 * 60 } } } ``` `django-db-connection-pool` has more configuration options here: [PoolContainer.pool_default_params](https://github.com/altairbow/django-db-connection-pool/blob/master/dj_db_conn_pool/core/__init__.py#L13-L20) Here's an explanation of these options(from SQLAlchemy's Doc): * **pool_size**: The size of the pool to be maintained, defaults to 5. This is the largest number of connections that will be kept persistently in the pool. Note that the pool begins with no connections; once this number of connections is requested, that number of connections will remain. `pool_size` can be set to 0 to indicate no size limit; to disable pooling, use a :class:`~sqlalchemy.pool.NullPool` instead. * **max_overflow**: The maximum overflow size of the pool. When the number of checked-out connections reaches the size set in pool_size, additional connections will be returned up to this limit. When those additional connections are returned to the pool, they are disconnected and discarded. It follows then that the total number of simultaneous connections the pool will allow is pool_size + `max_overflow`, and the total number of "sleeping" connections the pool will allow is pool_size. `max_overflow` can be set to -1 to indicate no overflow limit; no limit will be placed on the total number of concurrent connections. Defaults to 10. * **recycle**: If set to a value other than -1, number of seconds between connection recycling, which means upon checkout, if this timeout is surpassed the connection will be closed and replaced with a newly opened connection. Defaults to -1. Or, you can use dj_db_conn_pool.setup to change default arguments(for each pool's creation), before using database pool: ```python import dj_db_conn_pool dj_db_conn_pool.setup(pool_size=100, max_overflow=50) ``` ## JDBC (experimental, NOT PRODUCTION READY) Thanks to [JPype](https://github.com/jpype-project/jpype) [JayDeBeApi](https://github.com/baztian/jaydebeapi/) , django-db-connection-pool can connect to database in jdbc way ### Usage #### Set Java runtime environment ```bash export JAVA_HOME=$PATH_TO_JRE; export CLASSPATH=$PATH_RO_JDBC_DRIVER_JAR ``` #### Start JVM Start JVM before initialization of Django ```python import jpype jvm_path = jpype.getDefaultJVMPath() jpype.startJVM(jvm_path) ``` #### Update settings.DATABASES ##### Oracle change `django.db.backends.oracle` to `dj_db_conn_pool.backends.jdbc.oracle`: ```python DATABASES = { 'default': { 'ENGINE': 'dj_db_conn_pool.backends.jdbc.oracle' } } ``` ##### OceanBase use `dj_db_conn_pool.backends.jdbc.oceanbase`: ```python DATABASES = { 'default': { 'ENGINE': 'dj_db_conn_pool.backends.jdbc.oceanbase' } } ```


نحوه نصب


نصب پکیج whl django-db-connection-pool-1.2.2:

    pip install django-db-connection-pool-1.2.2.whl


نصب پکیج tar.gz django-db-connection-pool-1.2.2:

    pip install django-db-connection-pool-1.2.2.tar.gz