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https://issues.apache.org/jira/browse/HADOOP-15407?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16498779#comment-16498779
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Da Zhou commented on HADOOP-15407:
----------------------------------
Hi, [~ste...@apache.org], I'm fixing the patch according to the report. There
is one findbug test I'm not sure:
{noformat}
Redundant nullcheck of stream, which is known to be non-null in
org.apache.hadoop.fs.azurebfs.services.AbfsHttpOperation.processResponse(byte[],
int, int) Redundant null check at AbfsHttpOperation.java:is known to be
non-null in
org.apache.hadoop.fs.azurebfs.services.AbfsHttpOperation.processResponse(byte[],
int, int) Redundant null check at AbfsHttpOperation.java:[line 26]
{noformat}
Code is here, I don't understand why this is a redundant check, is it possible
to suppress this "bug"?
{code:borderStyle=solid}
try (InputStream stream = this.connection.getInputStream()) {
if (stream == null) {
return;
}
boolean endOfStream = false;
...
...
}
{code}
Thanks,
Da
> Support Windows Azure Storage - Blob file system in Hadoop
> ----------------------------------------------------------
>
> Key: HADOOP-15407
> URL: https://issues.apache.org/jira/browse/HADOOP-15407
> Project: Hadoop Common
> Issue Type: New Feature
> Components: fs/azure
> Affects Versions: 3.2.0
> Reporter: Esfandiar Manii
> Assignee: Esfandiar Manii
> Priority: Major
> Attachments: HADOOP-15407-001.patch, HADOOP-15407-002.patch,
> HADOOP-15407-003.patch, HADOOP-15407-004.patch,
> HADOOP-15407-HADOOP-15407.006.patch
>
>
> *{color:#212121}Description{color}*
> This JIRA adds a new file system implementation, ABFS, for running Big Data
> and Analytics workloads against Azure Storage. This is a complete rewrite of
> the previous WASB driver with a heavy focus on optimizing both performance
> and cost.
> {color:#212121} {color}
> *{color:#212121}High level design{color}*
> At a high level, the code here extends the FileSystem class to provide an
> implementation for accessing blobs in Azure Storage. The scheme abfs is used
> for accessing it over HTTP, and abfss for accessing over HTTPS. The following
> URI scheme is used to address individual paths:
> {color:#212121} {color}
>
> {color:#212121}abfs[s]://<filesystem>@<account>.dfs.core.windows.net/<path>{color}
> {color:#212121} {color}
> {color:#212121}ABFS is intended as a replacement to WASB. WASB is not
> deprecated but is in pure maintenance mode and customers should upgrade to
> ABFS once it hits General Availability later in CY18.{color}
> {color:#212121}Benefits of ABFS include:{color}
> {color:#212121}· Higher scale (capacity, throughput, and IOPS) Big
> Data and Analytics workloads by allowing higher limits on storage
> accounts{color}
> {color:#212121}· Removing any ramp up time with Storage backend
> partitioning; blocks are now automatically sharded across partitions in the
> Storage backend{color}
> {color:#212121} . This avoids the need for using
> temporary/intermediate files, increasing the cost (and framework complexity
> around committing jobs/tasks){color}
> {color:#212121}· Enabling much higher read and write throughput on
> single files (tens of Gbps by default){color}
> {color:#212121}· Still retaining all of the Azure Blob features
> customers are familiar with and expect, and gaining the benefits of future
> Blob features as well{color}
> {color:#212121}ABFS incorporates Hadoop Filesystem metrics to monitor the
> file system throughput and operations. Ambari metrics are not currently
> implemented for ABFS, but will be available soon.{color}
> {color:#212121} {color}
> *{color:#212121}Credits and history{color}*
> Credit for this work goes to (hope I don't forget anyone): Shane Mainali,
> {color:#212121}Thomas Marquardt, Zichen Sun, Georgi Chalakov, Esfandiar
> Manii, Amit Singh, Dana Kaban, Da Zhou, Junhua Gu, Saher Ahwal, Saurabh Pant,
> and James Baker. {color}
> {color:#212121} {color}
> *Test*
> ABFS has gone through many test procedures including Hadoop file system
> contract tests, unit testing, functional testing, and manual testing. All the
> Junit tests provided with the driver are capable of running in both
> sequential/parallel fashion in order to reduce the testing time.
> {color:#212121}Besides unit tests, we have used ABFS as the default file
> system in Azure HDInsight. Azure HDInsight will very soon offer ABFS as a
> storage option. (HDFS is also used but not as default file system.) Various
> different customer and test workloads have been run against clusters with
> such configurations for quite some time. Benchmarks such as Tera*, TPC-DS,
> Spark Streaming and Spark SQL, and others have been run to do scenario,
> performance, and functional testing. Third parties and customers have also
> done various testing of ABFS.{color}
> {color:#212121}The current version reflects to the version of the code
> tested and used in our production environment.{color}
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