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Given two a and b There are files with x and y rows of data respectively. (x and y are both greater than 1 billion). The machine memory is limited to 100M. How to find the same records?
1 billion files are too big. Practical operation is a waste of time. Just achieve the practical purpose.
The problem size is reduced to: 1M memory limit, a and b each have 100,000 rows of records. The memory limit can be limited by PHP'sini_set('memory_limit', '1M');
.
Generate random numbers to fill the file:
/** * 生成随机数填充文件 * Author: ClassmateLin * Email: classmatelin.site@gmail.com * Site: https://www.classmatelin.top * @param string $filename 输出文件名 * @param int $batch 按多少批次生成数据 * @param int $batchSize 每批数据的大小 */ function generate(string $filename, int $batch=1000, int $batchSize=10000) { for ($i=0; $i<$batch; $i++) { $str = ''; for ($j=0; $j<$batchSize; $j++) { $str .= rand($batch, $batchSize) . PHP_EOL; // 生成随机数 } file_put_contents($filename, $str, FILE_APPEND); // 追加模式写入文件 } } generate('a.txt', 10); generate('b.txt', 10);
Changea.txt
,b.txt
Split into n files by hash modulus.
/** * 用hash取模方式将文件分散到n个文件中 * Author: ClassmateLin * Email: classmatelin.site@gmail.com * Site: https://www.classmatelin.top * @param string $filename 输入文件名 * @param int $mod 按mod取模 * @param string $dir 文件输出目录 */ function spiltFile(string $filename, int $mod=20, string $dir='files') { if (!is_dir($dir)){ mkdir($dir); } $fp = fopen($filename, 'r'); while (!feof($fp)){ $line = fgets($fp); $n = crc32(hash('md5', $line)) % $mod; // hash取模 $filepath = $dir . '/' . $n . '.txt'; // 文件输出路径 file_put_contents($filepath, $line, FILE_APPEND); // 追加模式写入文件 } fclose($fp); } spiltFile('a.txt'); spiltFile('b.txt');
Execute thesplitFile
function and get the following picturefiles
20 files in the directory.
Now we need to find the same records in 20 files. In fact, we need to find the same records in one file and operate each 20 times.
Find the same record in a file:
/** * 查找一个文件中相同的记录输出到指定文件中 * Author: ClassmateLin * Email: classmatelin.site@gmail.com * Site: https://www.classmatelin.top * @param string $inputFilename 输入文件路径 * @param string $outputFilename 输出文件路径 */ function search(string $inputFilename, $outputFilename='output.txt') { $table = []; $fp = fopen($inputFilename, 'r'); while (!feof($fp)) { $line = fgets($fp); !isset($table[$line]) ? $table[$line] = 1 : $table[$line]++; // 未设置的值设1,否则自增 } fclose($fp); foreach ($table as $line => $count) { if ($count >= 2){ // 出现大于2次的则是相同的记录,输出到指定文件中 file_put_contents($outputFilename, $line, FILE_APPEND); } } }
Find the same record in all files:
/** * 从给定目录下文件中分别找出相同记录输出到指定文件中 * Author: ClassmateLin * Email: classmatelin.site@gmail.com * Site: https://www.classmatelin.top * @param string $dirs 指定目录 * @param string $outputFilename 输出文件路径 */ function searchAll($dirs='files', $outputFilename='output.txt') { $files = scandir($dirs); foreach ($files as $file) { $filepath = $dirs . '/' . $file; if (is_file($filepath)){ search($filepath, $outputFilename); } } }
The space problem of large file processing has been solved here, so the time problem How to deal with it? A single machine can handle it by utilizing the multi-core of the CPU. If it is not enough, it can be handled by multiple servers.
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