C語(yǔ)言和Oracle數(shù)據(jù)庫(kù)是目前應(yīng)用十分廣泛的兩種技術(shù), 二者的組合將能夠?yàn)殚_發(fā)人員提供更多豐富的開發(fā)工具和解決方案。 在實(shí)際開發(fā)中,使用C語(yǔ)言和Oracle數(shù)據(jù)庫(kù)來(lái)操作圖像數(shù)據(jù)是開發(fā)人員經(jīng)常會(huì)遇到的問題,本文將詳細(xì)介紹如何使用C語(yǔ)言和Oracle數(shù)據(jù)庫(kù)來(lái)處理和操作圖像數(shù)據(jù)。
在處理圖像數(shù)據(jù)時(shí),C語(yǔ)言與Oracle數(shù)據(jù)庫(kù)可以使用聯(lián)合來(lái)操作。下面是一個(gè)將JPEG文件讀入內(nèi)存并轉(zhuǎn)換為Oracle數(shù)據(jù)庫(kù)中BLOB類型的代碼示例。
#include上述代碼使用了JPEG庫(kù)來(lái)讀入圖片,并將獲取的數(shù)據(jù)轉(zhuǎn)化為BLOB數(shù)據(jù)類型,然后將其寫入到Oracle數(shù)據(jù)庫(kù)中。這里需要注意的是使用OCI API來(lái)綁定Blob類型的數(shù)據(jù),同時(shí)需要分配相應(yīng)的行對(duì)象和Blob對(duì)象,視情況需要使用OCILobTrim等API來(lái)截?cái)嗲闆r超過(guò)指定大小的Blob對(duì)象。 總之,C語(yǔ)言和Oracle數(shù)據(jù)庫(kù)是非常有潛力的開發(fā)工具和技術(shù),通過(guò)聯(lián)合使用他們,開發(fā)人員可以從中獲得最好的結(jié)果。尤其是在處理圖像數(shù)據(jù)方面,他們之間的結(jié)合將為您帶來(lái)極高的處理效率,為您的開發(fā)工作注入新活力。#include #include #include void read_jpeg_to_blob(OCIEnv *envhp, OCISvcCtx *svchp, OCIServer *srvhp, OCIError *errhp, char *jpeg_filename, char *table_name) { typedef struct { OCIStmt *stmthp; OCIBlob *blob; } stmt_handle; stmt_handle handles; FILE *fp = NULL; struct jpeg_decompress_struct cinfo = {0}; struct jpeg_error_mgr jerr = {0}; JSAMPROW row_pointer[1]; int row_stride = 0, height = 0, width = 0, pixel_size = 0; long pixel_count = 0; unsigned char *raw_image = NULL; int status = 0; // Open JPEG file fp = fopen(jpeg_filename, "rb"); if (!fp) { fprintf(stderr, "Can't open JPEG file\n"); return; } // Setup error handling cinfo.err = jpeg_std_error(&jerr); jpeg_create_decompress(&cinfo); // Read JPEG file jpeg_stdio_src(&cinfo, fp); jpeg_read_header(&cinfo, TRUE); jpeg_start_decompress(&cinfo); // Allocate memory for decompressed image width = cinfo.output_width; height = cinfo.output_height; pixel_size = cinfo.output_components; pixel_count = width * height * pixel_size; row_stride = width * pixel_size; raw_image = (unsigned char*)malloc(pixel_count); // Read rows of decompressed image while (cinfo.output_scanline< height) { row_pointer[0] = &raw_image[cinfo.output_scanline * row_stride]; jpeg_read_scanlines(&cinfo, row_pointer, 1); } // Cleanup JPEG processing jpeg_finish_decompress(&cinfo); jpeg_destroy_decompress(&cinfo); fclose(fp); // Write raw image data to Oracle database BLOB field OCIHandleAlloc(envhp, (void**)&handles.stmthp, OCI_HTYPE_STMT, 0, NULL); status = OCIStmtPrepare(handles.stmthp, errhp, (const OraText*) "INSERT INTO %s (IMAGE) VALUES (:1)", strlen("INSERT INTO %s (IMAGE) VALUES (:1)")); if (status != OCI_SUCCESS) { fprintf(stderr, "Can't prepare INSERT statement\n"); return; } OCIHandleAlloc(envhp, (void**)&handles.blob, OCI_HTYPE_BLOB, 0, NULL); status = OCIBindByName(handles.stmthp, (OCIBind**)&handles.blob, errhp, (const OraText*)":1", strlen(":1"), handles.blob, -1, SQLT_BLOB, NULL, NULL, NULL, 0, NULL, OCI_DEFAULT); if (status != OCI_SUCCESS) { fprintf(stderr, "Can't bind BLOB parameter\n"); return; } OCILobWrite(svchp, errhp, handles.blob, &pixel_count, 1, (void*)raw_image, pixel_count, OCI_ONE_PIECE, NULL, NULL, 0, SQLCS_IMPLICIT); status = OCIStmtExecute(svchp, handles.stmthp, errhp, 1, 0, NULL, NULL, OCI_COMMIT_ON_SUCCESS); if (status != OCI_SUCCESS) { fprintf(stderr, "Can't execute INSERT statement\n"); return; } }