在PHP中与时间序列数据库

在PHP中与时间序列数据库（如InfluxDB和TimescaleDB）进行批量写入是提高性能的关键方法。以下是针对这两种数据库的批量写入优化方案：1. InfluxDB批量写入使用官方客户端批量写入phprequire_once "vendor/autoload.php";use InfluxDB2\Client;use InfluxDB2\Point;function batchWriteToInfluxDB(array $dataPoints) {$client = new Client(["url" => "http://localhost:8086","token" => "your-token-here","bucket" => "your-bucket","org" => "your-org"]);$writeApi = $client->createWriteApi();try {foreach ($dataPoints as $data) {$point = Point::measurement($data['measurement'])->addTag('location', $data['location'])->addField('value', $data['value'])->time($data['timestamp'] ?? microtime(true));$writeApi->write($point);}// 显式刷新确保所有数据被写入$writeApi->flush();} catch (Exception $e) {error_log("InfluxDB批量写入失败: " . $e->getMessage());} finally {$client->close();}}// 使用示例$data = [['measurement' => 'temperature', 'location' => 'room1', 'value' => 22.5],['measurement' => 'humidity', 'location' => 'room1', 'value' => 45.0],// 更多数据点...];batchWriteToInfluxDB($data);使用InfluxDB行协议直接批量写入phpfunction influxBatchWriteHttp(array $dataPoints) {$url = 'http://localhost:8086/api/v2/write?bucket=your-bucket&org=your-org&precision=ms';$lines = [];foreach ($dataPoints as $data) {$line = $data['measurement'];// 添加标签if (!empty($data['tags'])) {foreach ($data['tags'] as $key => $value) {$line .= "," . urlencode($key) . "=" . urlencode($value);}}// 添加字段$line .= " ";$firstField = true;foreach ($data['fields'] as $key => $value) {if (!$firstField) $line .= ",";$line .= urlencode($key) . "=" . (is_float($value) ? $value : urlencode($value));$firstField = false;}// 添加