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    102
  • Rank 335,584 (Top 7 %)
  • Language
    C
  • Created about 9 years ago
  • Updated almost 6 years ago

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Repository Details

really fast webserver for kdb (>100kq/sec) and dashboard-making bits
  • d.c is a very fast HTTP-to-KDB proxy.
  • d.q is a counter and graph-builder.

d.q

d.q by default runs on port 1234 and is designed to receive requests from d.c and stores the requests in a table called buffer.

buffer is periodically (using .z.ts and \t) scavanged to fill a set of tables called archive.

The structure of archive is one table per retention policy (set by the table retain). This provides a resolution of retain.r for at least retain.p in time zone retail.z (only utc, pst, and est currently supported).

The data can be queried using query or via HTTP on port 1234 in a format that is mostly compatible with Graphite, e.g.

http://localhost:1234/render?target=*&from=-2d&until=now&colorList=6E75B5,7FB148,F28030,22B6F0,58595B&format=html&bgcolor=353C41&refresh=1

The following features are supported:

  • Multiple overlapping target wildcards
  • Formats svg, html (with automatic refresh in seconds), and json

If your metrics are named sensibly (i.e. dotted) then Grafana can discover metrics automatically.

d.c

d.c supports a synchronous mode which works like a faster .z.ph and an asynchronous mode which sends the HTTP response before pipelining the messages into KDB.

To implement async, d.c recognises ?f= in the query string to select the HTTP content: ?f=204 for an HTTP 204, and ?f=gif for a 32-byte blank gif.

Building

The makefile assumes kdb/q is installed in $HOME/q and that you have the C bindings installed in $HOME/q/c:

q/c/k.h
q/c/l64/c.o
q/c/m64/c.o

Usage

Port numbers are configured using environment variables:

http=:8080 kdb=127.0.0.1:1234 ./d

The HTTP response is a blank gif if ?f=gif is provided in the query string, and an HTTP 204 for ?f=204.

KDB must implement a function dash which works like .z.ph, except note: you must include:

Connection: keep-alive

Performance

d.c is very fast.

Setup

KDB+ is configured as:

\p 1234
.z.ph:{.h.hy[`html;"ok"]}
dash:{L::x;"HTTP/1.1 200 OK\r\nConnection: keep-alive\r\nContent-Type: text/html\r\nContent-Length: 5\r\n\r\n<b>ok"}

NodeJS is configured as:

require("http").createServer(function(req,res){
  res.writeHead(200);res.end()
}).listen(3000)

OSX 10.11.1 on Mid-2012 Macbook Air (2GHz i7)

Async: 51k/sec

Geos-Air:~ geocar$ wrk -t2 -c90 -d3s 'http://127.0.0.1:8080/?f=204&k=hi&v=1'
Running 3s test @ http://127.0.0.1:8080/?f=204&k=hi&v=1
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     4.61ms   15.97ms 140.72ms   96.15%
    Req/Sec    26.44k     6.12k   47.58k    86.21%
  154692 requests in 3.01s, 9.15MB read
Requests/sec:  51310.63
Transfer/sec:      3.03MB

Sync (.z.ph replacement): 25k/sec

Geos-Air:~ geocar$ wrk -t2 -c90 -d3s 'http://127.0.0.1:8080/?k=hi&v=1'
Running 3s test @ http://127.0.0.1:8080/?k=hi&v=1
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     3.73ms  497.42us  11.81ms   91.29%
    Req/Sec    12.13k   691.11    12.88k    90.32%
  74857 requests in 3.10s, 6.57MB read
Requests/sec:  24136.76
Transfer/sec:      2.12MB

NodeJS: 10k/sec

Geos-Air:~ geocar$ wrk -t2 -c90 -d9s 'http://127.0.0.1:3000/'
Running 9s test @ http://127.0.0.1:3000/
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     8.65ms    1.46ms  63.20ms   96.41%
    Req/Sec     5.25k   445.35     5.76k    91.67%
  93997 requests in 9.01s, 10.13MB read
Requests/sec:  10437.06
Transfer/sec:      1.12MB

KDB: 2k/sec

The motivation for d.c.

Geos-Air:~ geocar$ wrk -t2 -c90 -d9s 'http://127.0.0.1:1234/'
Running 9s test @ http://127.0.0.1:1234/
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency    23.56ms   94.75ms 790.67ms   96.31%
    Req/Sec     3.28k   774.95     3.83k    93.88%
  16431 requests in 9.10s, 1.36MB read
Requests/sec:   1804.94
Transfer/sec:    153.35KB

Linux 3.18.21 on 3.50GHz XEON

This is a Cadence Time Series appliance running the 8-core model.

Async: 135k/sec

$ ./wrk -t2 -c90 -d3s 'http://127.0.0.1:8080/?f=204&k=hi&v=1'
Running 3s test @ http://127.0.0.1:8080/?f=204&k=hi&v=1
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     1.98ms   14.37ms 227.27ms   98.58%
    Req/Sec    67.71k    10.92k   80.98k    58.33%
  404058 requests in 3.00s, 23.89MB read
Requests/sec: 134619.41
Transfer/sec:      7.96MB

Sync (.z.ph replacement): 62k/sec

$ ./wrk -t2 -c90 -d3s 'http://127.0.0.1:8080/?k=hi&v=1'
Running 3s test @ http://127.0.0.1:8080/?k=hi&v=1
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     2.92ms   14.03ms 199.54ms   98.60%
    Req/Sec    31.51k     1.49k   33.87k    93.33%
  188080 requests in 3.00s, 16.50MB read
Requests/sec:  62663.59
Transfer/sec:      5.50MB

NodeJS: 21k/sec

$ ./wrk -t2 -c90 -d3s 'http://127.0.0.1:3000/?k=hi&v=1'
Running 3s test @ http://127.0.0.1:3000/?k=hi&v=1
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     4.30ms    1.67ms  36.76ms   97.84%
    Req/Sec    10.77k     1.31k   11.49k    93.33%
  64309 requests in 3.00s, 6.93MB read
Requests/sec:  21424.52
Transfer/sec:      2.31MB

KDB: 27k/sec

$ ./wrk -t2 -c90 -d3s 'http://127.0.0.1:1234/'
Running 3s test @ http://127.0.0.1:1234/
  2 threads and 90 connections
  Thread Stats   Avg      Stdev     Max   +/- Stdev
    Latency     3.17ms  312.83us   4.31ms   75.94%
    Req/Sec    13.63k   590.50    15.90k    86.67%
  81375 requests in 3.00s, 6.52MB read
Requests/sec:  27106.72
Transfer/sec:      2.17MB

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