与Redis相比，Apache Ignite性能较差

Question

Benchmark Results

*50 - 118kb Audio File Streamed and Read Simultaneously from One Node in 4096 byte chunks*

Redis

*Notes:*
I used a 50ms polling interval to check for updates to the cache.

*Results:*
Local:
- Total Time to stream and read 50 audio files: 226ms.
- average complete read and write: 125ms
- average time to first byte read: 26ms
- average read time per runner: 103ms
- average write time per runner: 71ms
- p99 time to first byte: 59ms
- p90 time to first byte: 57ms
- p50 time to first byte: 6ms

Remote (Over SSH | Seattle → IAD):
- Total Time to stream and read 50 audio files: 1405ms.
- average complete read and write: 1298ms
- average time to first byte read: 81ms
- average read time per runner: 1277ms
- average write time per runner: 1238ms
- p99 time to first byte: 148ms
- p90 time to first byte: 126ms
- p50 time to first byte: 84ms

Remote (Through VIP | Seattle → IAD):
- Total Time to stream and read 50 audio files: 2035ms.
- average complete read and write: 1245ms
- average time to first byte read: 67ms
- average read time per runner: 1226ms
- average write time per runner: 1034ms
- p99 time to first byte: 161ms
- p90 time to first byte: 87ms
- p50 time to first byte: 74ms


Ignite

*Notes:*
I have a feeling these numbers are artificially inflated.  I think the client is not well built for extreme parallelism.  I believe it's doing quite a bit of locking.  I think if you were to have many nodes doing the same amount of work, the numbers might be better.  This would require more in depth benchmarking.  This is 50 caches, one cache group.

*Results:*
Local:
- Total Time to stream and read 50 audio files: 327ms.
- average complete read and write: 321ms
- average time to first byte read: 184ms
- average read time per runner: 225ms
- average write time per runner: 35ms
- p99 time to first byte: 212ms
- p90 time to first byte: 197ms
- p50 time to first byte: 191ms

Remote (Over SSH | Seattle → IAD):
- Total Time to stream and read 50 audio files: 5148ms.
- average complete read and write: 4483ms
- average time to first byte read: 947ms
- average read time per runner: 3224ms
- average write time per runner: 2779ms
- p99 time to first byte: 4936ms
- p90 time to first byte: 926ms
- p50 time to first byte: 577ms

Remote (Through VIP | Seattle → IAD):
- Total Time to stream and read 50 audio files: 4840ms.
- average complete read and write: 4287ms
- average time to first byte read: 780ms
- average read time per runner: 3035ms
- average write time per runner: 2562ms
- p99 time to first byte: 4458ms
- p90 time to first byte: 857ms
- p50 time to first byte: 566ms


*1 - 118kb Audio File Streamed and Read Simultaneously from One Node in 4096 byte chunks*

Redis

*Notes:*
I used a 50ms polling interval to check for updates to the cache.

*Results:*
Local:
- Total Time to stream and read 1 audio files: 62ms.
- average complete read and write: 62ms
- average time to first byte read: 55ms
- average read time per runner: 61ms
- average write time per runner: 3ms
- p99 time to first byte: 55ms
- p90 time to first byte: 55ms
- p50 time to first byte: 55ms

Remote (Over SSH | Seattle → IAD):
- Total Time to stream and read 1 audio files: 394ms.
- average complete read and write: 394ms
- average time to first byte read: 57ms
- average read time per runner: 394ms
- average write time per runner: 342ms
- p99 time to first byte: 57ms
- p90 time to first byte: 57ms
- p50 time to first byte: 57ms

Remote (Through VIP | Seattle → IAD):
- Total Time to stream and read 1 audio files: 388ms.
- average complete read and write: 388ms
- average time to first byte read: 61ms
- average read time per runner: 388ms
- average write time per runner: 343ms
- p99 time to first byte: 61ms
- p90 time to first byte: 61ms
- p50 time to first byte: 61ms


Ignite

*Notes:*
None

*Results:*
Local:
- Total Time to stream and read 1 audio files: 32ms.
- average complete read and write: 32ms
- average time to first byte read: 2ms
- average read time per runner: 23ms
- average write time per runner: 11ms
- p99 time to first byte: 2ms
- p90 time to first byte: 2ms
- p50 time to first byte: 2ms

Remote (Over SSH | Seattle → IAD):
- Total Time to stream and read 1 audio files: 259ms.
- average complete read and write: 258ms
- average time to first byte read: 19ms
- average read time per runner: 232ms
- average write time per runner: 169ms
- p99 time to first byte: 19ms
- p90 time to first byte: 19ms
- p50 time to first byte: 19ms

Remote (Through VIP | Seattle → IAD):
- Total Time to stream and read 1 audio files: 203ms.
- average complete read and write: 203ms
- average time to first byte read: 20ms
- average read time per runner: 174ms
- average write time per runner: 93ms
- p99 time to first byte: 20ms
- p90 time to first byte: 20ms
- p50 time to first byte: 20ms

更新：为了更明显地说明我正在努力做的事情：我将拥有5000万以上的设备流媒体音频。流平均为100KB，峰值流量时为200K流/分钟。我正在寻找一种存储解决方案来满足这种需求。我一直在研究Bookkeeper、Kafka、Ignite、Cassandra和Redis。到目前为止，我只对redis和ignite进行了基准测试，但我很惊讶ignite这么慢。

Answer 1

我审查了你的基准并在当地做了几次运行。我能让它变得更快：

1. 30次迭代对JVM来说是不够的，在我的笔记本电脑上，它需要150次迭代。所以我把它增加到300次迭代。
2. 我将缓存创建移出了基准，我在缓存销毁后立即添加了它。
3. 还有，我从benchmark ignite客户端创建中移出，这是非常昂贵的操作，在现实生活中，您应该重用它。

请看一下我的更改，我创建了一个拉请求:https://github.com/sahasrara/audiostreamstoredomo/pull/1/files