Question

我的目标是通过AJAX插入/更新“区域”的新注册表时获取表“subdireccion”的属性“nombreSubdireccion”，我得到它的唯一方法是因为DB :: table重新加载页面。我不知道在哪里宣布加入，请帮助我（对不起我的发言）

有模特：

import tensorflow as tf
import threading

def main(job_name, task):
    cluster = tf.train.ClusterSpec({
        'ps': ['localhost:22222', 'localhost:22223'],
        'worker': ['localhost: 22224','localhost: 22225','localhost: 22226']
    })

    server = tf.train.Server(cluster, job_name=job_name, task_index=task)

    if job_name == 'ps':
        # create a shared queue on the parameter server which is visible on /job:ps/task:%d
        with tf.device('/job:ps/task:%d' % task):
            queue = tf.FIFOQueue(cluster.num_tasks('worker'), tf.int32, shared_name='done_queue%d' % task)

        # wait for the queue to be filled
        with tf.Session(server.target) as sess:
            for i in range(cluster.num_tasks('worker')):
                sess.run(queue.dequeue())
                print('ps:%d received "done" from worker:%d' % (task, i))
            print('ps:%d quitting' % task)

    elif job_name == 'worker':
        queues = []
        # create a shared queue on the worker which is visible on /job:ps/task:%d
        for i in range(cluster.num_tasks('ps')):
            with tf.device('/job:ps/task:%d' % i):
                queues.append(tf.FIFOQueue(cluster.num_tasks('worker'), tf.int32, shared_name='done_queue%d' % i))

        # fill the queue
        with tf.Session(server.target) as sess:
            for i in range(cluster.num_tasks('ps')):
                _, size = sess.run([queues[i].enqueue(task), queues[i].size()])
                print('Worker:%d sending "done" to ps:%d [elements=%d]' % (task, i, size))

if __name__ == '__main__':
    threads = [
        threading.Thread(target=main, args=('ps', 0)),
        threading.Thread(target=main, args=('ps', 1)),
        threading.Thread(target=main, args=('worker', 0)),
        threading.Thread(target=main, args=('worker', 1)),
        threading.Thread(target=main, args=('worker', 2))]
    for thread in threads:
        thread.start()
    for thread in threads:
        thread.join()

AJAX文件：

    # create a worker that does nothing
    elif job_name == 'worker':
        with tf.device(tf.train.replica_device_setter(worker_device='/job:worker/task:%d' % task, cluster=cluster)):
            global_step = tf.train.get_or_create_global_step()
            no_op = tf.no_op()

        done_ops = []
        # create a shared queue on the worker which is visible on /job:ps/task:%d
        for i in range(cluster.num_tasks('ps')):
            with tf.device('/job:ps/task:%d' % i):
                done_queue = tf.FIFOQueue(cluster.num_tasks('worker'), tf.int32, shared_name='done_queue' + str(i))
                done_ops.append(done_queue.enqueue(task))

        hooks=[tf.train.StopAtStepHook(last_step=1),
               tf.train.FinalOpsHook([done_ops])]

        with tf.train.MonitoredTrainingSession(master=server.target,
                                               is_chief=(task == 0),
                                               hooks=hooks) as sess:
            sess.run([no_op])

web.php（控制器）

class subdireccion extends Model
{
    public $table = "subdireccion";

    protected $primaryKey = 'idSubdireccion';

    public $timestamps = false;
    public $fillable=['nombreSubdireccion'];
}

class area extends Model
{
    public $table = "area";

    protected $primaryKey = 'idArea';

    public $timestamps = false;
    public $fillable = [

        'nombreArea',
        'subdireccion_idSubdireccion',

    ];
}

page-view

Answer 1

最好的方法是在控制器中定义方法并为那里的数据库查询进行模型调用，以便您可以正确使用laravel功能。

使用表连接通过Laravel视图中的ajax更新表

1 个答案: