[
https://issues.apache.org/jira/browse/HDFS-15987?focusedWorklogId=689814&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-689814
]
ASF GitHub Bot logged work on HDFS-15987:
-----------------------------------------
Author: ASF GitHub Bot
Created on: 03/Dec/21 08:20
Start Date: 03/Dec/21 08:20
Worklog Time Spent: 10m
Work Description: whbing commented on a change in pull request #2918:
URL: https://github.com/apache/hadoop/pull/2918#discussion_r761727777
##########
File path:
hadoop-hdfs-project/hadoop-hdfs/src/main/java/org/apache/hadoop/hdfs/tools/offlineImageViewer/PBImageTextWriter.java
##########
@@ -651,14 +683,123 @@ private void output(Configuration conf, FileSummary
summary,
is = FSImageUtil.wrapInputStreamForCompression(conf,
summary.getCodec(), new BufferedInputStream(new LimitInputStream(
fin, section.getLength())));
- outputINodes(is);
+ INodeSection s = INodeSection.parseDelimitedFrom(is);
+ LOG.info("Found {} INodes in the INode section", s.getNumInodes());
+ int count = outputINodes(is, out);
+ LOG.info("Outputted {} INodes.", count);
}
}
afterOutput();
long timeTaken = Time.monotonicNow() - startTime;
LOG.debug("Time to output inodes: {}ms", timeTaken);
}
+ /**
+ * STEP1: Multi-threaded process sub-sections.
+ * Given n (n>1) threads to process k (k>=n) sections,
+ * E.g. 10 sections and 4 threads, grouped as follows:
+ * |---------------------------------------------------------------|
+ * | (0 1 2) (3 4 5) (6 7) (8 9) |
+ * | thread[0] thread[1] thread[2] thread[3] |
+ * |---------------------------------------------------------------|
+ *
+ * STEP2: Merge files.
+ */
+ private void outputInParallel(Configuration conf, FileSummary summary,
+ ArrayList<FileSummary.Section> subSections)
+ throws IOException {
+ int nThreads = Integer.min(numThreads, subSections.size());
+ LOG.info("Outputting in parallel with {} sub-sections" +
+ " using {} threads", subSections.size(), nThreads);
+ final CopyOnWriteArrayList<IOException> exceptions =
+ new CopyOnWriteArrayList<>();
+ Thread[] threads = new Thread[nThreads];
+ String[] paths = new String[nThreads];
+ for (int i = 0; i < paths.length; i++) {
+ paths[i] = parallelOut + ".tmp." + i;
+ }
+ AtomicLong expectedINodes = new AtomicLong(0);
+ AtomicLong totalParsed = new AtomicLong(0);
+ String codec = summary.getCodec();
+
+ int mark = 0;
+ for (int i = 0; i < nThreads; i++) {
+ // Each thread processes different ordered sub-sections
+ // and outputs to different paths
+ int step = subSections.size() / nThreads +
+ (i < subSections.size() % nThreads ? 1 : 0);
+ int start = mark;
+ int end = start + step;
+ ArrayList<FileSummary.Section> subList = new ArrayList<>(
+ subSections.subList(start, end));
+ mark = end;
+ String path = paths[i];
+
+ threads[i] = new Thread(() -> {
Review comment:
> Maybe thread pool is better here?
@symious Thanks! I will try this suggestion in next commit.
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Issue Time Tracking
-------------------
Worklog Id: (was: 689814)
Time Spent: 4h 20m (was: 4h 10m)
> Improve oiv tool to parse fsimage file in parallel with delimited format
> ------------------------------------------------------------------------
>
> Key: HDFS-15987
> URL: https://issues.apache.org/jira/browse/HDFS-15987
> Project: Hadoop HDFS
> Issue Type: Sub-task
> Reporter: Hongbing Wang
> Assignee: Hongbing Wang
> Priority: Major
> Labels: pull-request-available
> Attachments: Improve_oiv_tool_001.pdf
>
> Time Spent: 4h 20m
> Remaining Estimate: 0h
>
> The purpose of this Jira is to improve oiv tool to parse fsimage file with
> sub-sections (see -HDFS-14617-) in parallel with delmited format.
> 1.Serial parsing is time-consuming
> The time to serially parse a large fsimage with delimited format (e.g. `hdfs
> oiv -p Delimited -t <tmp> ...`) is as follows:
> {code:java}
> 1) Loading string table: -> Not time consuming.
> 2) Loading inode references: -> Not time consuming
> 3) Loading directories in INode section: -> Slightly time consuming (3%)
> 4) Loading INode directory section: -> A bit time consuming (11%)
> 5) Output: -> Very time consuming (86%){code}
> Therefore, output is the most parallelized stage.
> 2.How to output in parallel
> The sub-sections are grouped in order, and each thread processes a group and
> outputs it to the file corresponding to each thread, and finally merges the
> output files.
> 3. The result of a test
> {code:java}
> input fsimage file info:
> 3.4G, 12 sub-sections, 55976500 INodes
> -----------------------------------------
> Threads TotalTime OutputTime MergeTime
> 1 18m37s 16m18s –
> 4 8m7s 4m49s 41s{code}
>
>
>
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