Python is used to sort large files,
This example describes how to sort large files in Python. Share it with you for your reference. The specific implementation method is as follows:
import gzipimport osfrom multiprocessing import Process, Queue, Pipe, current_process, freeze_supportfrom datetime import datetimedef sort_worker(input,output): while True: lines = input.get().splitlines() element_set = {} for line in lines: if line.strip() == 'STOP': return try: element = line.split(' ')[0] if not element_set.get(element): element_set[element] = '' except: pass sorted_element = sorted(element_set) #print sorted_element output.put('\n'.join(sorted_element))def write_worker(input, pre): os.system('mkdir %s'%pre) i = 0 while True: content = input.get() if content.strip() == 'STOP': return write_sorted_bulk(content, '%s/%s'%(pre, i)) i += 1def write_sorted_bulk(content, filename): f = file(filename, 'w') f.write(content) f.close()def split_sort_file(filename, num_sort = 3, buf_size = 65536*64*4): t = datetime.now() pre, ext = os.path.splitext(filename) if ext == '.gz': file_file = gzip.open(filename, 'rb') else: file_file = open(filename) bulk_queue = Queue(10) sorted_queue = Queue(10) NUM_SORT = num_sort sort_worker_pool = [] for i in range(NUM_SORT): sort_worker_pool.append( Process(target=sort_worker, args=(bulk_queue, sorted_queue)) ) sort_worker_pool[i].start() NUM_WRITE = 1 write_worker_pool = [] for i in range(NUM_WRITE): write_worker_pool.append( Process(target=write_worker, args=(sorted_queue, pre)) ) write_worker_pool[i].start() buf = file_file.read(buf_size) sorted_count = 0 while len(buf): end_line = buf.rfind('\n') #print buf[:end_line+1] bulk_queue.put(buf[:end_line+1]) sorted_count += 1 if end_line != -1: buf = buf[end_line+1:] + file_file.read(buf_size) else: buf = file_file.read(buf_size) for i in range(NUM_SORT): bulk_queue.put('STOP') for i in range(NUM_SORT): sort_worker_pool[i].join() for i in range(NUM_WRITE): sorted_queue.put('STOP') for i in range(NUM_WRITE): write_worker_pool[i].join() print 'elasped ', datetime.now() - t return sorted_countfrom heapq import heappush, heappopfrom datetime import datetimefrom multiprocessing import Process, Queue, Pipe, current_process, freeze_supportimport osclass file_heap: def __init__(self, dir, idx = 0, count = 1): files = os.listdir(dir) self.heap = [] self.files = {} self.bulks = {} self.pre_element = None for i in range(len(files)): file = files[i] if hash(file) % count != idx: continue input = open(os.path.join(dir, file)) self.files[i] = input self.bulks[i] = '' heappush(self.heap, (self.get_next_element_buffered(i), i)) def get_next_element_buffered(self, i): if len(self.bulks[i]) < 256: if self.files[i] is not None: buf = self.files[i].read(65536) if buf: self.bulks[i] += buf else: self.files[i].close() self.files[i] = None end_line = self.bulks[i].find('\n') if end_line == -1: end_line = len(self.bulks[i]) element = self.bulks[i][:end_line] self.bulks[i] = self.bulks[i][end_line+1:] return element def poppush_uniq(self): while True: element = self.poppush() if element is None: return None if element != self.pre_element: self.pre_element = element return element def poppush(self): try: element, index = heappop(self.heap) except IndexError: return None new_element = self.get_next_element_buffered(index) if new_element: heappush(self.heap, (new_element, index)) return elementdef heappoppush(dir, queue, idx = 0, count = 1): heap = file_heap(dir, idx, count) while True: d = heap.poppush_uniq() queue.put(d) if d is None: returndef heappoppush2(dir, queue, count = 1): heap = [] procs = [] queues = [] pre_element = None for i in range(count): q = Queue(1024) q_buf = queue_buffer(q) queues.append(q_buf) p = Process(target=heappoppush, args=(dir, q_buf, i, count)) procs.append(p) p.start() queues = tuple(queues) for i in range(count): heappush(heap, (queues[i].get(), i)) while True: try: d, i= heappop(heap) except IndexError: queue.put(None) for p in procs: p.join() return else: if d is not None: heappush(heap,(queues[i].get(), i)) if d != pre_element: pre_element = d queue.put(d)def merge_file(dir): heap = file_heap( dir ) os.system('rm -f '+dir+'.merge') fmerge = open(dir+'.merge', 'a') element = heap.poppush_uniq() fmerge.write(element+'\n') while element is not None: element = heap.poppush_uniq() fmerge.write(element+'\n')class queue_buffer: def __init__(self, queue): self.q = queue self.rbuf = [] self.wbuf = [] def get(self): if len(self.rbuf) == 0: self.rbuf = self.q.get() r = self.rbuf[0] del self.rbuf[0] return r def put(self, d): self.wbuf.append(d) if d is None or len(self.wbuf) > 1024: self.q.put(self.wbuf) self.wbuf = []def diff_file(file_old, file_new, file_diff, buf = 268435456): print 'buffer size', buf from file_split import split_sort_file os.system('rm -rf '+ os.path.splitext(file_old)[0] ) os.system('rm -rf '+ os.path.splitext(file_new)[0] ) t = datetime.now() split_sort_file(file_old,5,buf) split_sort_file(file_new,5,buf) print 'split elasped ', datetime.now() - t os.system('cat %s/* | wc -l'%os.path.splitext(file_old)[0]) os.system('cat %s/* | wc -l'%os.path.splitext(file_new)[0]) os.system('rm -f '+file_diff) t = datetime.now() zdiff = open(file_diff, 'a') old_q = Queue(1024) new_q = Queue(1024) old_queue = queue_buffer(old_q) new_queue = queue_buffer(new_q) h1 = Process(target=heappoppush2, args=(os.path.splitext(file_old)[0], old_queue, 3)) h2 = Process(target=heappoppush2, args=(os.path.splitext(file_new)[0], new_queue, 3)) h1.start(), h2.start() old = old_queue.get() new = new_queue.get() old_count, new_count = 0, 0 while old is not None or new is not None: if old > new or old is None: zdiff.write('< '+new+'\n') new = new_queue.get() new_count +=1 elif old < new or new is None: zdiff.write('> '+old+'\n') old = old_queue.get() old_count +=1 else: old = old_queue.get() new = new_queue.get() print 'new_count:', new_count print 'old_count:', old_count print 'diff elasped ', datetime.now() - t h1.join(), h2.join()
I hope this article will help you with Python programming.