Python client.Pipeline方法代碼示例

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def pipeline(self, transaction=True, shard_hint=None):
        """
        Return a new pipeline object that can queue multiple commands for
        later execution. ``transaction`` indicates whether all commands
        should be executed atomically. Apart from making a group of operations
        atomic, pipelines are useful for reducing the back-and-forth overhead
        between the client and server.

        Overridden in order to provide the right client through the pipeline.
        """
        p = Pipeline(
            connection_pool=self.connection_pool,
            response_callbacks=self.response_callbacks,
            transaction=transaction,
            shard_hint=shard_hint)
        p.setEncoder(self._encoder)
        p.setDecoder(self._decoder)
        return p 

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def restore_redis():
    """Restores the redis client"""
    try:
        from redis.client import Pipeline, Redis
    except ImportError:  # pragma: no cover
        pass
    else:
        if hasattr(Redis.execute_command, "__wrapped__"):
            setattr(Redis, "execute_command", Redis.execute_command.__wrapped__)
        for class_method in ["execute", "immediate_execute_command"]:
            if hasattr(getattr(Pipeline, class_method), "__wrapped__"):
                setattr(
                    Pipeline, class_method, getattr(Pipeline, class_method).__wrapped__
                ) 

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def pipeline(self, transaction=True, shard_hint=None):
        """
        Return a new pipeline object that can queue multiple commands for
        later execution. ``transaction`` indicates whether all commands
        should be executed atomically. Apart from making a group of operations
        atomic, pipelines are useful for reducing the back-and-forth overhead
        between the client and server.
        Overridden in order to provide the right client through the pipeline.
        """
        p = Pipeline(
            connection_pool=self.connection_pool,
            response_callbacks=self.response_callbacks,
            transaction=transaction,
            shard_hint=shard_hint)
        return p 

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def get_atomic_connection(self) -> Pipeline:
        """
        Gets a Pipeline for normal redis or for redis sentinel based upon
         redis mode in configuration

        :return: Returns a Pipeline object
        """
        return self.get_connection().pipeline(True) 

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def save(self, redis_client=None, inserting=False, relative=False, transactional=False):
        u"""
        :param redis_client: Redis 連接或 pipeline 對象
        :param inserting: 是否為即將插入的對象
        :param relative: 是否保存相關的對象
        :param transactional: 是否使用事務保存，隻用於主對象，相關對象應設為 False
        :return: None
        """

        if inserting:
            self._check_inserting()

        if not redis_client:
            redis_client = self.redis_client

        if transactional:
            watching_keys = self._get_watching_keys(inserting)
            if relative:
                watching_keys.extend(self._get_relative_keys(inserting))

            def insert(pipe):
                try:
                    pipe.watch(*watching_keys)
                    if inserting:
                        self._populate_required_attributes(pipe)
                    pipe.multi()
                    self._save_self(pipe, inserting)
                    if relative:
                        self._save_relative(pipe, inserting)
                    pipe.execute()
                except Exception as e:
                    logging.exception('failed to save')
                    self._fail_on_save(e, pipe, inserting)
                    raise

            if isinstance(redis_client, Pipeline):
                insert(redis_client)
            else:
                with redis_client.pipeline(True) as pipe:
                    insert(pipe)
        else:
            try:
                if relative:
                    self._populate_required_attributes(redis_client)
                self._save_self(redis_client, inserting)
                if relative:
                    self._save_relative(redis_client, inserting)
            except Exception as e:
                logging.exception('failed to save')
                self._fail_on_save(e, redis_client, inserting)
                raise 

# 需要導入模塊: from redis import client [as 別名]
# 或者: from redis.client import Pipeline [as 別名]
def patch_redis(context):
    """
    Monkey patches redis client, if available. Overloads the
    execute methods to add tracing and metrics collection.
    """

    def wrapper(wrapped, instance, args, kwargs):
        if not hasattr(context, "iopipe") or not hasattr(
            context.iopipe, "mark"
        ):  # pragma: no cover
            return wrapped(*args, **kwargs)

        id = ensure_utf8(str(uuid.uuid4()))
        with context.iopipe.mark(id):
            response = wrapped(*args, **kwargs)
        trace = context.iopipe.mark.measure(id)
        context.iopipe.mark.delete(id)
        collect_redis_metrics(
            context, trace, args, instance.connection_pool.connection_kwargs
        )
        return response

    def pipeline_wrapper(wrapped, instance, args, kwargs):  # pragma: no cover
        if not hasattr(context, "iopipe") or not hasattr(
            context.iopipe, "mark"
        ):  # pragma: no cover
            return wrapped(*args, **kwargs)

        # We don't need the entire command stack, just collect a stack count
        pipeline_args = ("PIPELINE", ensure_utf8(len(instance.command_stack)))

        id = ensure_utf8(str(uuid.uuid4()))
        with context.iopipe.mark(id):
            response = wrapped(*args, **kwargs)
        trace = context.iopipe.mark.measure(id)
        context.iopipe.mark.delete(id)
        collect_redis_metrics(
            context, trace, pipeline_args, instance.connection_pool.connection_kwargs
        )
        return response

    for module, attr, _wrapper in [
        ("redis.client", "Redis.execute_command", wrapper),
        ("redis.client", "Pipeline.execute", wrapper),
        ("redis.client", "Pipeline.immediate_execute_command", wrapper),
    ]:
        try:
            wrapt.wrap_function_wrapper(module, attr, _wrapper)
        except Exception:  # pragma: no cover
            pass