時序、事件和指標數據庫：InfluxDB

InfluxDB 是一個開源分布式時序、事件和指標數據庫。使用 Go 語音編寫，無需外部依賴。其設計目標是實現分布式和水平伸縮擴展。

示例代碼：

//初始化
influxdb = new InfluxDB(host, port, username, password, database);

// with server set timestamps
influxdb.writePoints("some_series", [
    {"value": 23.0,  "state": "NY", "email": "paul@influxdb.org"},
    {"value": 191.3, "state": "CO", "email": "foo@bar.com"}
]);

// with a specified timestamp
influxdb.writePoints("response_times", [
  {time: new Date(), "value": 232}
]);

// get the latest point from the events time series
series = influxdb.query(
  "select * from events limit 1;");

// get the count of events (using the column type)
// in 5 minute periods for the last 4 hours
series = influxdb.query(
  "select count(region) from events " +
  "group by time(5m) where time > now() - 4h;");

// get the count of unique event types in 10 second
// intervals for the last 30 minutes
series = influxdb.query(
  "select count(type) from events " +
  "group by time(10s), type where time > now() - 30m;");

// get the 90th percentile for the value column of response
// times in 1 hour increments for the last 2 days
series = influxdb.query(
  "select percentile(value, 90) from response_times " +
  "group by time(1h) where time > now() - 2d;");

// get the median in 1 hour increments for the last day
series = influxdb.query(
  "select median(value) from response_times " +
  "group by time(1h) where time > now() - 1d;");

// get events from new york
series = influxdb.query(
  "select * from events " +
  "where state = 'ny';");

// get the number of unique users in 1 hour periods
// for the last 48 hours
series = influxdb.query(
  "select count(distinct(email)) from events " +
  "group by time(1h) " +
  "where time > now() - 2d;");

// get the count of events in 10 minute increments
// from users with gmail addresses
series = influxdb.query(
  "select count(email) from events " +
  "group by time(10m) " +
  "where email =~ /.*gmail\.com/;");

項目主頁：http://www.baiduhome.net/lib/view/home/1384088621758