Question

我正在尝试在我的数据库中插入一些值，但是没有结果，但是代码没有错误，结果标签说它成功了。我的数据库连接工作。如何检查这里的问题，我很困惑。

我的代码

// insert new data to menu table
$sql_query = "INSERT INTO tbl_jadwal (Nama_Lokasi, Category_ID, Longitude, Latitude, Phone, Email, Menu_image, Description)
VALUES(?, ?, ?, ?, ?, ?, ?, ?)";

$upload_image = 'upload/images/' . $menu_image;
$stmt = $connect->stmt_init();
if ($stmt->prepare($sql_query))
{
     // Bind your variables to replace the ?s
     $stmt->bind_param('sssssss',
                     $nama_lokasi,
                     $category_ID,
                     $longitude,
                     $latitude,
                     $phone,
                     $email,
                     $upload_image,
                     $description
     );
     // Execute query
     $stmt->execute();
     // store result
     $result = $stmt->store_result();
    $stmt->close();
}

Answer 1

应该这样做，你在param字符串中缺少一个#include <thrust/device_vector.h> #include <thrust/sort.h> #include "Utilities.cuh" // --- Defining tuple type typedef thrust::tuple<int, int> Tuple; /**************************/ /* TUPLE ORDERING FUNCTOR */ /**************************/ struct TupleComp { __host__ __device__ bool operator()(const Tuple& t1, const Tuple& t2) { if (t1.get<0>() < t2.get<0>()) return true; if (t1.get<0>() > t2.get<0>()) return false; return t1.get<1>() < t2.get<1>(); } }; /********/ /* MAIN */ /********/ int main() { const int N = 8; // --- Keys and values on the host: allocation and definition int h_keys1[N] = { 1, 3, 3, 3, 2, 3, 2, 1 }; int h_keys2[N] = { 1, 5, 3, 8, 2, 8, 1, 1 }; float h_values[N] = { 0.3, 5.1, 3.2, -0.08, 2.1, 5.2, 1.1, 0.01}; printf("\n\n"); printf("Original\n"); for (int i = 0; i < N; i++) { printf("%i %i %f\n", h_keys1[i], h_keys2[i], h_values[i]); } // --- Keys and values on the device: allocation int *d_keys1; gpuErrchk(cudaMalloc(&d_keys1, N * sizeof(int))); int *d_keys2; gpuErrchk(cudaMalloc(&d_keys2, N * sizeof(int))); float *d_values; gpuErrchk(cudaMalloc(&d_values, N * sizeof(float))); // --- Keys and values: host -> device gpuErrchk(cudaMemcpy(d_keys1, h_keys1, N * sizeof(int), cudaMemcpyHostToDevice)); gpuErrchk(cudaMemcpy(d_keys2, h_keys2, N * sizeof(int), cudaMemcpyHostToDevice)); gpuErrchk(cudaMemcpy(d_values, h_values, N * sizeof(float), cudaMemcpyHostToDevice)); // --- From raw pointers to device_ptr thrust::device_ptr<int> dev_ptr_keys1 = thrust::device_pointer_cast(d_keys1); thrust::device_ptr<int> dev_ptr_keys2 = thrust::device_pointer_cast(d_keys2); thrust::device_ptr<float> dev_ptr_values = thrust::device_pointer_cast(d_values); // --- Declare outputs thrust::device_vector<float> d_values_output(N); thrust::device_vector<Tuple> d_keys_output(N); auto begin_keys = thrust::make_zip_iterator(thrust::make_tuple(dev_ptr_keys1, dev_ptr_keys2)); auto end_keys = thrust::make_zip_iterator(thrust::make_tuple(dev_ptr_keys1 + N, dev_ptr_keys2 + N)); thrust::sort_by_key(begin_keys, end_keys, dev_ptr_values, TupleComp()); int *h_keys1_output = (int *)malloc(N * sizeof(int)); int *h_keys2_output = (int *)malloc(N * sizeof(int)); float *h_values_output = (float *)malloc(N * sizeof(float)); gpuErrchk(cudaMemcpy(h_keys1_output, d_keys1, N * sizeof(int), cudaMemcpyDeviceToHost)); gpuErrchk(cudaMemcpy(h_keys2_output, d_keys2, N * sizeof(int), cudaMemcpyDeviceToHost)); gpuErrchk(cudaMemcpy(h_values_output, d_values, N * sizeof(float), cudaMemcpyDeviceToHost)); printf("\n\n"); printf("Ordered\n"); for (int i = 0; i < N; i++) { printf("%i %i %f\n", h_keys1_output[i], h_keys2_output[i], h_values_output[i]); } }

你的代码太多了。只有很小一部分是相关的

INSERT没有结果值

1 个答案: