HDFS-8284. Update documentation about how to use HTrace with HDFS (Masatake Iwasaki via Colin P. McCabe)

(cherry picked from commit 8f7c2364d7)
This commit is contained in:
Colin Patrick Mccabe 2015-05-08 12:30:03 -07:00
parent f8807839c6
commit d83ae68bb0
4 changed files with 87 additions and 74 deletions

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@ -1758,18 +1758,6 @@ for ldap providers in the same way as above does.
</description>
</property>
<property>
<name>hadoop.htrace.spanreceiver.classes</name>
<value></value>
<description>
A comma separated list of the fully-qualified class name of classes
implementing SpanReceiver. The tracing system works by collecting
information in structs called 'Spans'. It is up to you to choose
how you want to receive this information by implementing the
SpanReceiver interface.
</description>
</property>
<property>
<name>ipc.server.max.connections</name>
<value>0</value>

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@ -18,13 +18,13 @@ Enabling Dapper-like Tracing in Hadoop
* [Enabling Dapper-like Tracing in Hadoop](#Enabling_Dapper-like_Tracing_in_Hadoop)
* [Dapper-like Tracing in Hadoop](#Dapper-like_Tracing_in_Hadoop)
* [HTrace](#HTrace)
* [Samplers](#Samplers)
* [SpanReceivers](#SpanReceivers)
* [Setting up ZipkinSpanReceiver](#Setting_up_ZipkinSpanReceiver)
* [Dynamic update of tracing configuration](#Dynamic_update_of_tracing_configuration)
* [Starting tracing spans by HTrace API](#Starting_tracing_spans_by_HTrace_API)
* [Sample code for tracing](#Sample_code_for_tracing)
* [Starting tracing spans by configuration for HDFS client](#Starting_tracing_spans_by_configuration_for_HDFS_client)
Dapper-like Tracing in Hadoop
-----------------------------
@ -32,83 +32,51 @@ Dapper-like Tracing in Hadoop
[HDFS-5274](https://issues.apache.org/jira/browse/HDFS-5274) added support for tracing requests through HDFS,
using the open source tracing library,
[Apache HTrace](https://git-wip-us.apache.org/repos/asf/incubator-htrace.git).
[Apache HTrace](http://htrace.incubator.apache.org/).
Setting up tracing is quite simple, however it requires some very minor changes to your client code.
### Samplers
Configure the samplers in `core-site.xml` property: `hadoop.htrace.sampler`.
The value can be NeverSampler, AlwaysSampler or ProbabilitySampler.
NeverSampler: HTrace is OFF for all spans;
AlwaysSampler: HTrace is ON for all spans;
ProbabilitySampler: HTrace is ON for some percentage% of top-level spans.
<property>
<name>hadoop.htrace.sampler</name>
<value>NeverSampler</value>
</property>
### SpanReceivers
The tracing system works by collecting information in structs called 'Spans'.
It is up to you to choose how you want to receive this information
by implementing the SpanReceiver interface, which defines one method:
by using implementation of [SpanReceiver](http://htrace.incubator.apache.org/#Span_Receivers)
interface bundled with HTrace or implementing it by yourself.
public void receiveSpan(Span span);
[HTrace](http://htrace.incubator.apache.org/) provides options such as
Configure what SpanReceivers you'd like to use
* FlumeSpanReceiver
* HBaseSpanReceiver
* HTracedRESTReceiver
* ZipkinSpanReceiver
In order to set up SpanReceivers for HDFS servers,
configure what SpanReceivers you'd like to use
by putting a comma separated list of the fully-qualified class name of classes implementing SpanReceiver
in `core-site.xml` property: `hadoop.htrace.spanreceiver.classes`.
in `hdfs-site.xml` property: `dfs.htrace.spanreceiver.classes`.
```xml
<property>
<name>hadoop.htrace.spanreceiver.classes</name>
<name>dfs.htrace.spanreceiver.classes</name>
<value>org.apache.htrace.impl.LocalFileSpanReceiver</value>
</property>
<property>
<name>hadoop.htrace.local-file-span-receiver.path</name>
<name>dfs.htrace.local-file-span-receiver.path</name>
<value>/var/log/hadoop/htrace.out</value>
</property>
```
You can omit package name prefix if you use span receiver bundled with HTrace.
```xml
<property>
<name>hadoop.htrace.spanreceiver.classes</name>
<name>dfs.htrace.spanreceiver.classes</name>
<value>LocalFileSpanReceiver</value>
</property>
```
### Setting up ZipkinSpanReceiver
Instead of implementing SpanReceiver by yourself,
you can use `ZipkinSpanReceiver` which uses
[Zipkin](https://github.com/twitter/zipkin) for collecting and displaying tracing data.
In order to use `ZipkinSpanReceiver`,
you need to download and setup [Zipkin](https://github.com/twitter/zipkin) first.
you also need to add the jar of `htrace-zipkin` to the classpath of Hadoop on each node.
Here is example setup procedure.
$ git clone https://github.com/cloudera/htrace
$ cd htrace/htrace-zipkin
$ mvn compile assembly:single
$ cp target/htrace-zipkin-*-jar-with-dependencies.jar $HADOOP_HOME/share/hadoop/common/lib/
The sample configuration for `ZipkinSpanReceiver` is shown below.
By adding these to `core-site.xml` of NameNode and DataNodes, `ZipkinSpanReceiver` is initialized on the startup.
You also need this configuration on the client node in addition to the servers.
<property>
<name>hadoop.htrace.spanreceiver.classes</name>
<value>ZipkinSpanReceiver</value>
</property>
<property>
<name>hadoop.htrace.zipkin.collector-hostname</name>
<value>192.168.1.2</value>
</property>
<property>
<name>hadoop.htrace.zipkin.collector-port</name>
<value>9410</value>
</property>
You also need to add the jar bundling SpanReceiver to the classpath of Hadoop
on each node. (LocalFileSpanReceiver in the example above is included in the
jar of htrace-core which is bundled with Hadoop.)
### Dynamic update of tracing configuration
@ -136,8 +104,8 @@ You need to run the command against all servers if you want to update the config
You need to specify the class name of span receiver as argument of `-class` option.
You can specify the configuration associated with span receiver by `-Ckey=value` options.
$ hadoop trace -add -class LocalFileSpanReceiver -Chadoop.htrace.local-file-span-receiver.path=/tmp/htrace.out -host 192.168.56.2:9000
Added trace span receiver 2 with configuration hadoop.htrace.local-file-span-receiver.path = /tmp/htrace.out
$ hadoop trace -add -class LocalFileSpanReceiver -Cdfs.htrace.local-file-span-receiver.path=/tmp/htrace.out -host 192.168.56.2:9000
Added trace span receiver 2 with configuration dfs.htrace.local-file-span-receiver.path = /tmp/htrace.out
$ hadoop trace -list -host 192.168.56.2:9000
ID CLASS
@ -149,8 +117,9 @@ In order to trace, you will need to wrap the traced logic with **tracing span**
When there is running tracing spans,
the tracing information is propagated to servers along with RPC requests.
In addition, you need to initialize `SpanReceiver` once per process.
In addition, you need to initialize `SpanReceiverHost` once per process.
```java
import org.apache.hadoop.hdfs.HdfsConfiguration;
import org.apache.hadoop.tracing.SpanReceiverHost;
import org.apache.htrace.Sampler;
@ -169,14 +138,17 @@ In addition, you need to initialize `SpanReceiver` once per process.
} finally {
if (ts != null) ts.close();
}
```
### Sample code for tracing
### Sample code for tracing by HTrace API
The `TracingFsShell.java` shown below is the wrapper of FsShell
which start tracing span before invoking HDFS shell command.
```java
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FsShell;
import org.apache.hadoop.hdfs.DFSConfigKeys;
import org.apache.hadoop.tracing.SpanReceiverHost;
import org.apache.hadoop.util.ToolRunner;
import org.apache.htrace.Sampler;
@ -189,7 +161,7 @@ which start tracing span before invoking HDFS shell command.
FsShell shell = new FsShell();
conf.setQuietMode(false);
shell.setConf(conf);
SpanReceiverHost.getInstance(conf);
SpanReceiverHost.get(conf, DFSConfigKeys.DFS_SERVER_HTRACE_PREFIX);
int res = 0;
TraceScope ts = null;
try {
@ -202,8 +174,40 @@ which start tracing span before invoking HDFS shell command.
System.exit(res);
}
}
```
You can compile and execute this code as shown below.
$ javac -cp `hadoop classpath` TracingFsShell.java
$ java -cp .:`hadoop classpath` TracingFsShell -ls /
### Starting tracing spans by configuration for HDFS client
The DFSClient can enable tracing internally. This allows you to use HTrace with
your client without modifying the client source code.
Configure the span receivers and samplers in `hdfs-site.xml`
by properties `dfs.client.htrace.sampler` and `dfs.client.htrace.sampler`.
The value of `dfs.client.htrace.sampler` can be NeverSampler, AlwaysSampler or ProbabilitySampler.
* NeverSampler: HTrace is OFF for all requests to namenodes and datanodes;
* AlwaysSampler: HTrace is ON for all requests to namenodes and datanodes;
* ProbabilitySampler: HTrace is ON for some percentage% of requests to namenodes and datanodes
You do not need to enable this if your client program has been modified
to use HTrace.
```xml
<property>
<name>dfs.client.htrace.spanreceiver.classes</name>
<value>LocalFileSpanReceiver</value>
</property>
<property>
<name>dfs.client.htrace.sampler</name>
<value>ProbabilitySampler</value>
</property>
<property>
<name>dfs.client.htrace.sampler.fraction</name>
<value>0.5</value>
</property>
```

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@ -197,6 +197,9 @@ Release 2.8.0 - UNRELEASED
HDFS-5640. Add snapshot methods to FileContext. (Rakesh R via cnauroth)
HDFS-8284. Update documentation about how to use HTrace with HDFS (Masatake
Iwasaki via Colin P. McCabe)
OPTIMIZATIONS
HDFS-8026. Trace FSOutputSummer#writeChecksumChunks rather than

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@ -2315,4 +2315,22 @@
the delay time will increase exponentially(double) for each retry.
</description>
</property>
<property>
<name>dfs.htrace.spanreceiver.classes</name>
<value></value>
<description>
The class name of the HTrace SpanReceiver for the NameNode and DataNode.
</description>
</property>
<property>
<name>dfs.client.htrace.spanreceiver.classes</name>
<value></value>
<description>
The class name of the HTrace SpanReceiver for the HDFS client. You do not
need to enable this if your client program has been modified to use HTrace.
</description>
</property>
</configuration>