增加jobhitory缓存详解
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yarn/jobhistory_cache.md
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yarn/jobhistory_cache.md
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## jobhistory 作业缓存
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jobhistory 一般会保存一部分作业信息到内存中,查询作业信息的时候一般会从内存查询,如果内存查询不到就会从磁盘上扫描。
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jobhistory 缓存一般分为两层,第一层是guava缓存,默认情况下guava的缓存个数是5,可以通过配置项`mapreduce.jobhistory.loadedjobs.cache.size`控制。
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当guava的一级缓存中不存在的时候,默认是需要重新加载的,jobhistory中定义了加载规则,定义代码如下:
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```java
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CacheLoader<JobId, Job> loader;
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loader = new CacheLoader<JobId, Job>() {
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@Override
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public Job load(JobId key) throws Exception {
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return loadJob(key);
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}
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};
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```
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其中loadJob实现如下,其中hsManager为加载具体实现,
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```java
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private Job loadJob(JobId jobId) throws RuntimeException, IOException {
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if (LOG.isDebugEnabled()) {
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LOG.debug("Looking for Job " + jobId);
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}
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HistoryFileInfo fileInfo;
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fileInfo = hsManager.getFileInfo(jobId);
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if (fileInfo == null) {
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throw new HSFileRuntimeException("Unable to find job " + jobId);
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}
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fileInfo.waitUntilMoved();
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if (fileInfo.isDeleted()) {
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throw new HSFileRuntimeException("Cannot load deleted job " + jobId);
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} else {
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return fileInfo.loadJob();
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}
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}
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```
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hsManager中定义了jobhistory的二级缓存:jobListCache,jobListCache的大小可以通过配置项`mapreduce.jobhistory.joblist.cache.size`控制。
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默认可以保存20000个。当然缓存超时指定时间可会被清理,具体可以有配置项`mapreduce.jobhistory.max-age-ms`控制,默认为1周。
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查找的顺序为:
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- 优先从内存查找(二级缓存),为jobListCache。
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- 如果缓存找不见,优先扫描刚完成的作业所在的目录,会刷新jobListCache缓存,由配置项mapreduce.jobhistory.intermediate-done-dir控制。
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- 如果还是找不见,从已经完成的作业的目录扫描,具体目录由配置项mapreduce.jobhistory.done-dir控制。
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```java
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public HistoryFileInfo getFileInfo(JobId jobId) throws IOException {
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// 优先从内存查找(二级缓存)
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HistoryFileInfo fileInfo = jobListCache.get(jobId);
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if (fileInfo != null) {
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return fileInfo;
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}
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// 如果缓存找不见,优先扫描刚完成的作业所在的目录,由配置项mapreduce.jobhistory.intermediate-done-dir控制
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scanIntermediateDirectory();
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fileInfo = jobListCache.get(jobId);
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if (fileInfo != null) {
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return fileInfo;
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}
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// 如果还是找不见,从已经完成的作业的目录扫描,具体目录由配置项mapreduce.jobhistory.done-dir控制
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fileInfo = scanOldDirsForJob(jobId);
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if (fileInfo != null) {
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return fileInfo;
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}
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return null;
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}
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```
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