[jira] [Created] (HADOOP-12403) Enable multiple writes in flight for HBase WAL writing

["Duo Xu (JIRA)" <ji...@apache.org>]

Duo Xu created HADOOP-12403:
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             Summary: Enable multiple writes in flight for HBase WAL writing
                 Key: HADOOP-12403
                 URL: https://issues.apache.org/jira/browse/HADOOP-12403
             Project: Hadoop Common
          Issue Type: Improvement
          Components: tools
            Reporter: Duo Xu
            Assignee: Duo Xu


Azure HDI HBase clusters use Azure blob storage as file system. We found that the bottle neck was during writing to write ahead log (WAL). The latest HBase WAL write model (HBASE-8755) uses multiple AsyncSyncer threads to sync data to HDFS. However, our WASB driver is still based on a single thread model. Thus when the sync threads call into WASB layer, every time only one thread will be allowed to send data to Azure storage.This jira is to introduce a new write model in WASB layer to allow multiple writes in parallel.
1. Since We use page blob for WAL, this will cause "holes" in the page blob as every write starts on a new page. We use the first two bytes of every page to record the actual data size of the current page.
2. When reading WAL, we need to know the actual size of the WAL. This should be the sum of the number represented by the first two bytes of every page. However looping over every page to get the size will be very slow. So during writing, the writer threads will keep updating a metadata of the blob called "total_data_uploaded".
3. Although we allow multiple writes in flight, we need to make sure the sync threads which call into WASB layers return in order. Reading HBase source code FSHLog.java, we find that every sync requests associated with a transaction id. If the sync succeeds, all the transactions before this transaction id are assumed to be in Azure Storage. We use a queue to store the sync requests and make sure they return to HBase layer in order.



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