Flume Channel Selectors使用
前几篇文章只有一个项目的日志，现在我们考虑多个项目的日志的收集，我拷贝了一份flumedemo项目,重命名为flumedemo2,添加了一个WriteLog2.java类，稍微改动了一下JSON字符串的输出，将以前requestUrl中的"reporter-api"改为了"image-api",以便和WriteLog类的输出稍微区分开来，如下： viewplaincopy[*]package com.besttone.flume;
[*]
[*]import java.util.Date;
[*]
[*]import org.apache.commons.logging.Log;
[*]import org.apache.commons.logging.LogFactory;
[*]
[*]public class WriteLog2 {
[*] protected static final Log logger = LogFactory.getLog(WriteLog2.class);
[*]
[*] /**
[*] * @param args
[*] * @throws InterruptedException
[*] */
[*] public static void main(String[] args) throws InterruptedException {
[*] // TODO Auto-generated method stub
[*] while (true) {
[*] logger.info(new Date().getTime());
[*] logger.info("{\"requestTime\":"
[*] + System.currentTimeMillis()
[*] + ",\"requestParams\":{\"timestamp\":1405499314238,\"phone\":\"02038824941\",\"cardName\":\"测试商家名称\",\"provinceCode\":\"440000\",\"cityCode\":\"440106\"},\"requestUrl\":\"/image-api/reporter/reporter12/init.do\"}");
[*] Thread.sleep(2000);
[*]
[*] }
[*] }
[*]}
现在有这么一个需求描述：要求flumedemo的项目的log4j日志输出到hdfs,而flumedemo2项目的log4j日志输出到agent的log日志中。
我们还是采用log4jappender来配置log4j输出给flume的souce,现在的需求明显是有两个sink了，一个sink为hdfs,一个sink为logger。于是现在的拓扑结构应该是这样的：
需要实现这么一个拓扑接口，就需要使用到channel selectors，让不同的项目日志通过不同的channel到不同的sink中去。
官方文档上channel selectors 有两种类型:
Replicating Channel Selector (default)
Multiplexing Channel Selector
这两种selector的区别是:Replicating 会将source过来的events发往所有channel,而Multiplexing 可以选择该发往哪些channel。对于上面的例子来说，如果采用Replicating ,那么demo和demo2的日志会同时发往channel1和channel2,这显然是和需求不符的，需求只是让demo的日志发往channel1,而demo2的日志发往channel2。
综上所述，我们选择Multiplexing Channel Selector。这里我们有遇到一个棘手的问题，Multiplexing 需要判断header里指定key的值来决定分发到某个具体的channel，我们现在demo和demo2同时运行在同一个服务器上，如果在不同的服务器上运行，我们可以在 source1上加上一个 host 拦截器（上一篇有介绍过），这样可以通过header中的host来判断event该分发给哪个channel，而这里是在同一个服务器上，由host是区分不出来日志的来源的，我们必须想办法在header中添加一个key来区分日志的来源。
设想一下，如果header中有一个key:flume.client.log4j.logger.source,我们通过设置这个key的值，demo设为app1,demo2设为app2,这样我们就能通过设置：
tier1.sources.source1.channels=channel1 channel2
tier1.sources.source1.selector.type=multiplexing
tier1.sources.source1.selector.header=flume.client.log4j.logger.source
tier1.sources.source1.selector.mapping.app1=channel1
tier1.sources.source1.selector.mapping.app2=channel2
来将不同项目的的日志输出到不同的channel了。
我们按照这个思路继续下去，遇到了困难，log4jappender没有这样的参数来让你设置。怎么办？翻看了一下log4jappender的源码，发现可以很容易的实现扩展参数，于是我复制了一份log4jappender代码，新加了一个类叫Log4jExtAppender.java,里面扩展了一个参数叫：source,代码如下：
viewplaincopy
[*]package com.besttone.flume;
[*]
[*]import java.io.ByteArrayOutputStream;
[*]import java.io.IOException;
[*]import java.nio.charset.Charset;
[*]import java.util.HashMap;
[*]import java.util.Map;
[*]import java.util.Properties;
[*]
[*]import org.apache.avro.Schema;
[*]import org.apache.avro.generic.GenericRecord;
[*]import org.apache.avro.io.BinaryEncoder;
[*]import org.apache.avro.io.DatumWriter;
[*]import org.apache.avro.io.EncoderFactory;
[*]import org.apache.avro.reflect.ReflectData;
[*]import org.apache.avro.reflect.ReflectDatumWriter;
[*]import org.apache.avro.specific.SpecificRecord;
[*]import org.apache.flume.Event;
[*]import org.apache.flume.EventDeliveryException;
[*]import org.apache.flume.FlumeException;
[*]import org.apache.flume.api.RpcClient;
[*]import org.apache.flume.api.RpcClientConfigurationConstants;
[*]import org.apache.flume.api.RpcClientFactory;
[*]import org.apache.flume.clients.log4jappender.Log4jAvroHeaders;
[*]import org.apache.flume.event.EventBuilder;
[*]import org.apache.log4j.AppenderSkeleton;
[*]import org.apache.log4j.helpers.LogLog;
[*]import org.apache.log4j.spi.LoggingEvent;
[*]
[*]/**
[*] *
[*] * Appends Log4j Events to an external Flume client which is decribed by the
[*] * Log4j configuration file. The appender takes two required parameters:
[*] * <p>
[*] * <strong>Hostname</strong> : This is the hostname of the first hop at which
[*] * Flume (through an AvroSource) is listening for events.
[*] * </p>
[*] * <p>
[*] * <strong>Port</strong> : This the port on the above host where the Flume
[*] * Source is listening for events.
[*] * </p>
[*] * A sample log4j properties file which appends to a source would look like:
[*] *
[*] * <pre>
[*] * <p>
[*] * log4j.appender.out2 = org.apache.flume.clients.log4jappender.Log4jAppender
[*] * log4j.appender.out2.Port = 25430
[*] * log4j.appender.out2.Hostname = foobarflumesource.com
[*] * log4j.logger.org.apache.flume.clients.log4jappender = DEBUG,out2</p>
[*] * </pre>
[*] * <p>
[*] * <i>Note: Change the last line to the package of the class(es), that will do
[*] * the appending.For example if classes from the package com.bar.foo are
[*] * appending, the last line would be:</i>
[*] * </p>
[*] *
[*] * <pre>
[*] * <p>log4j.logger.com.bar.foo = DEBUG,out2</p>
[*] * </pre>
[*] *
[*] *
[*] */
[*]public class Log4jExtAppender extends AppenderSkeleton {
[*]
[*] private String hostname;
[*] private int port;
[*] private String source;
[*]
[*] public String getSource() {
[*] return source;
[*] }
[*]
[*] public void setSource(String source) {
[*] this.source = source;
[*] }
[*]
[*] private boolean unsafeMode = false;
[*] private long timeout = RpcClientConfigurationConstants.DEFAULT_REQUEST_TIMEOUT_MILLIS;
[*] private boolean avroReflectionEnabled;
[*] private String avroSchemaUrl;
[*]
[*] RpcClient rpcClient = null;
[*]
[*] /**
[*] * If this constructor is used programmatically rather than from a log4j
[*] * conf you must set the <tt>port</tt> and <tt>hostname</tt> and then call
[*] * <tt>activateOptions()</tt> before calling <tt>append()</tt>.
[*] */
[*] public Log4jExtAppender() {
[*] }
[*]
[*] /**
[*] * Sets the hostname and port. Even if these are passed the
[*] * <tt>activateOptions()</tt> function must be called before calling
[*] * <tt>append()</tt>, else <tt>append()</tt> will throw an Exception.
[*] *
[*] * @param hostname
[*] * The first hop where the client should connect to.
[*] * @param port
[*] * The port to connect on the host.
[*] *
[*] */
[*] public Log4jExtAppender(String hostname, int port, String source) {
[*] this.hostname = hostname;
[*] this.port = port;
[*] this.source = source;
[*] }
[*]
[*] /**
[*] * Append the LoggingEvent, to send to the first Flume hop.
[*] *
[*] * @param event
[*] * The LoggingEvent to be appended to the flume.
[*] * @throws FlumeException
[*] * if the appender was closed, or the hostname and port were not
[*] * setup, there was a timeout, or there was a connection error.
[*] */
[*] @Override
[*] public synchronized void append(LoggingEvent event) throws FlumeException {
[*] // If rpcClient is null, it means either this appender object was never
[*] // setup by setting hostname and port and then calling activateOptions
[*] // or this appender object was closed by calling close(), so we throw an
[*] // exception to show the appender is no longer accessible.
[*] if (rpcClient == null) {
[*] String errorMsg = "Cannot Append to Appender! Appender either closed or"
[*] + " not setup correctly!";
[*] LogLog.error(errorMsg);
[*] if (unsafeMode) {
[*] return;
[*] }
[*] throw new FlumeException(errorMsg);
[*] }
[*]
[*] if (!rpcClient.isActive()) {
[*] reconnect();
[*] }
[*]
[*] // Client created first time append is called.
[*] Map<String, String> hdrs = new HashMap<String, String>();
[*] hdrs.put(Log4jAvroHeaders.LOGGER_NAME.toString(), event.getLoggerName());
[*] hdrs.put(Log4jAvroHeaders.TIMESTAMP.toString(),
[*] String.valueOf(event.timeStamp));
[*]
[*] // 添加日志来源
[*] if (this.source == null || this.source.equals("")) {
[*] this.source = "unknown";
[*] }
[*] hdrs.put("flume.client.log4j.logger.source", this.source);
[*] // To get the level back simply use
[*] // LoggerEvent.toLevel(hdrs.get(Integer.parseInt(
[*] // Log4jAvroHeaders.LOG_LEVEL.toString()))
[*] hdrs.put(Log4jAvroHeaders.LOG_LEVEL.toString(),
[*] String.valueOf(event.getLevel().toInt()));
[*]
[*] Event flumeEvent;
[*] Object message = event.getMessage();
[*] if (message instanceof GenericRecord) {
[*] GenericRecord record = (GenericRecord) message;
[*] populateAvroHeaders(hdrs, record.getSchema(), message);
[*] flumeEvent = EventBuilder.withBody(
[*] serialize(record, record.getSchema()), hdrs);
[*] } else if (message instanceof SpecificRecord || avroReflectionEnabled) {
[*] Schema schema = ReflectData.get().getSchema(message.getClass());
[*] populateAvroHeaders(hdrs, schema, message);
[*] flumeEvent = EventBuilder
[*] .withBody(serialize(message, schema), hdrs);
[*] } else {
[*] hdrs.put(Log4jAvroHeaders.MESSAGE_ENCODING.toString(), "UTF8");
[*] String msg = layout != null ? layout.format(event) : message
[*] .toString();
[*] flumeEvent = EventBuilder.withBody(msg, Charset.forName("UTF8"),
[*] hdrs);
[*] }
[*]
[*] try {
[*] rpcClient.append(flumeEvent);
[*] } catch (EventDeliveryException e) {
[*] String msg = "Flume append() failed.";
[*] LogLog.error(msg);
[*] if (unsafeMode) {
[*] return;
[*] }
[*] throw new FlumeException(msg + " Exception follows.", e);
[*] }
[*] }
[*]
[*] private Schema schema;
[*] private ByteArrayOutputStream out;
[*] private DatumWriter<Object> writer;
[*] private BinaryEncoder encoder;
[*]
[*] protected void populateAvroHeaders(Map<String, String> hdrs, Schema schema,
[*] Object message) {
[*] if (avroSchemaUrl != null) {
[*] hdrs.put(Log4jAvroHeaders.AVRO_SCHEMA_URL.toString(), avroSchemaUrl);
[*] return;
[*] }
[*] LogLog.warn("Cannot find ID for schema. Adding header for schema, "
[*] + "which may be inefficient. Consider setting up an Avro Schema Cache.");
[*] hdrs.put(Log4jAvroHeaders.AVRO_SCHEMA_LITERAL.toString(),
[*] schema.toString());
[*] }
[*]
[*] private byte[] serialize(Object datum, Schema datumSchema)
[*] throws FlumeException {
[*] if (schema == null || !datumSchema.equals(schema)) {
[*] schema = datumSchema;
[*] out = new ByteArrayOutputStream();
[*] writer = new ReflectDatumWriter<Object>(schema);
[*] encoder = EncoderFactory.get().binaryEncoder(out, null);
[*] }
[*] out.reset();
[*] try {
[*] writer.write(datum, encoder);
[*] encoder.flush();
[*] return out.toByteArray();
[*] } catch (IOException e) {
[*] throw new FlumeException(e);
[*] }
[*] }
[*]
[*] // This function should be synchronized to make sure one thread
[*] // does not close an appender another thread is using, and hence risking
[*] // a null pointer exception.
[*] /**
[*] * Closes underlying client. If <tt>append()</tt> is called after this
[*] * function is called, it will throw an exception.
[*] *
[*] * @throws FlumeException
[*] * if errors occur during close
[*] */
[*] @Override
[*] public synchronized void close() throws FlumeException {
[*] // Any append calls after this will result in an Exception.
[*] if (rpcClient != null) {
[*] try {
[*] rpcClient.close();
[*] } catch (FlumeException ex) {
[*] LogLog.error("Error while trying to close RpcClient.", ex);
[*] if (unsafeMode) {
[*] return;
[*] }
[*] throw ex;
[*] } finally {
[*] rpcClient = null;
[*] }
[*] } else {
[*] String errorMsg = "Flume log4jappender already closed!";
[*] LogLog.error(errorMsg);
[*] if (unsafeMode) {
[*] return;
[*] }
[*] throw new FlumeException(errorMsg);
[*] }
[*] }
[*]
[*] @Override
[*] public boolean requiresLayout() {
[*] // This method is named quite incorrectly in the interface. It should
[*] // probably be called canUseLayout or something. According to the docs,
[*] // even if the appender can work without a layout, if it can work with
[*] // one,
[*] // this method must return true.
[*] return true;
[*] }
[*]
[*] /**
[*] * Set the first flume hop hostname.
[*] *
[*] * @param hostname
[*] * The first hop where the client should connect to.
[*] */
[*] public void setHostname(String hostname) {
[*] this.hostname = hostname;
[*] }
[*]
[*] /**
[*] * Set the port on the hostname to connect to.
[*] *
[*] * @param port
[*] * The port to connect on the host.
[*] */
[*] public void setPort(int port) {
[*] this.port = port;
[*] }
[*]
[*] public void setUnsafeMode(boolean unsafeMode) {
[*] this.unsafeMode = unsafeMode;
[*] }
[*]
[*] public boolean getUnsafeMode() {
[*] return unsafeMode;
[*] }
[*]
[*] public void setTimeout(long timeout) {
[*] this.timeout = timeout;
[*] }
[*]
[*] public long getTimeout() {
[*] return this.timeout;
[*] }
[*]
[*] public void setAvroReflectionEnabled(boolean avroReflectionEnabled) {
[*] this.avroReflectionEnabled = avroReflectionEnabled;
[*] }
[*]
[*] public void setAvroSchemaUrl(String avroSchemaUrl) {
[*] this.avroSchemaUrl = avroSchemaUrl;
[*] }
[*]
[*] /**
[*] * Activate the options set using <tt>setPort()</tt> and
[*] * <tt>setHostname()</tt>
[*] *
[*] * @throws FlumeException
[*] * if the <tt>hostname</tt> and <tt>port</tt> combination is
[*] * invalid.
[*] */
[*] @Override
[*] public void activateOptions() throws FlumeException {
[*] Properties props = new Properties();
[*] props.setProperty(RpcClientConfigurationConstants.CONFIG_HOSTS, "h1");
[*] props.setProperty(RpcClientConfigurationConstants.CONFIG_HOSTS_PREFIX
[*] + "h1", hostname + ":" + port);
[*] props.setProperty(
[*] RpcClientConfigurationConstants.CONFIG_CONNECT_TIMEOUT,
[*] String.valueOf(timeout));
[*] props.setProperty(
[*] RpcClientConfigurationConstants.CONFIG_REQUEST_TIMEOUT,
[*] String.valueOf(timeout));
[*] try {
[*] rpcClient = RpcClientFactory.getInstance(props);
[*] if (layout != null) {
[*] layout.activateOptions();
[*] }
[*] } catch (FlumeException e) {
[*] String errormsg = "RPC client creation failed! " + e.getMessage();
[*] LogLog.error(errormsg);
[*] if (unsafeMode) {
[*] return;
[*] }
[*] throw e;
[*] }
[*] }
[*]
[*] /**
[*] * Make it easy to reconnect on failure
[*] *
[*] * @throws FlumeException
[*] */
[*] private void reconnect() throws FlumeException {
[*] close();
[*] activateOptions();
[*] }
[*]}
然后然后将这个类打了一个jar包：Log4jExtAppender.jar，扔在了flumedemo和flumedemo2的lib目录下。
这时候flumedemo的log4j.properties如下：
viewplaincopy
[*]log4j.rootLogger=INFO
[*]
[*]
[*]log4j.category.com.besttone=INFO,flume,console,LogFile
[*]
[*]#log4j.appender.flume = org.apache.flume.clients.log4jappender.Log4jExtAppender
[*]log4j.appender.flume = com.besttone.flume.Log4jExtAppender
[*]log4j.appender.flume.Hostname = localhost
[*]log4j.appender.flume.Port = 44444
[*]log4j.appender.flume.UnsafeMode = false
[*]log4j.appender.flume.Source = app1
[*]
[*]
[*]log4j.appender.console= org.apache.log4j.ConsoleAppender
[*]log4j.appender.console.Target= System.out
[*]log4j.appender.console.layout= org.apache.log4j.PatternLayout
[*]log4j.appender.console.layout.ConversionPattern= %d{yyyy-MM-dd HH:mm:ss} %5p %c{1}: %L - %m%n
[*]
[*]log4j.appender.LogFile= org.apache.log4j.DailyRollingFileAppender
[*]log4j.appender.LogFile.File= logs/app.log
[*]log4j.appender.LogFile.MaxFileSize=10KB
[*]log4j.appender.LogFile.Append= true
[*]log4j.appender.LogFile.Threshold= DEBUG
[*]log4j.appender.LogFile.layout= org.apache.log4j.PatternLayout
[*]log4j.appender.LogFile.layout.ConversionPattern= %-d{yyyy-MM-dd HH:mm:ss} [%t:%r] - [%5p] %m%n
flumedemo2的如下：
viewplaincopy
[*]log4j.rootLogger=INFO
[*]
[*]
[*]log4j.category.com.besttone=INFO,flume,console,LogFile
[*]
[*]#log4j.appender.flume = org.apache.flume.clients.log4jappender.Log4jExtAppender
[*]log4j.appender.flume = com.besttone.flume.Log4jExtAppender
[*]log4j.appender.flume.Hostname = localhost
[*]log4j.appender.flume.Port = 44444
[*]log4j.appender.flume.UnsafeMode = false
[*]log4j.appender.flume.Source = app2
[*]
[*]
[*]log4j.appender.console= org.apache.log4j.ConsoleAppender
[*]log4j.appender.console.Target= System.out
[*]log4j.appender.console.layout= org.apache.log4j.PatternLayout
[*]log4j.appender.console.layout.ConversionPattern= %d{yyyy-MM-dd HH:mm:ss} %5p %c{1}: %L - %m%n
[*]
[*]log4j.appender.LogFile= org.apache.log4j.DailyRollingFileAppender
[*]log4j.appender.LogFile.File= logs/app.log
[*]log4j.appender.LogFile.MaxFileSize=10KB
[*]log4j.appender.LogFile.Append= true
[*]log4j.appender.LogFile.Threshold= DEBUG
[*]log4j.appender.LogFile.layout= org.apache.log4j.PatternLayout
[*]log4j.appender.LogFile.layout.ConversionPattern= %-d{yyyy-MM-dd HH:mm:ss} [%t:%r] - [%5p] %m%n
将原来的log4j.appender.flume 由org.apache.flume.clients.log4jappender.Log4jExtAppender改为了我重新实现添加了source参数的com.besttone.flume.Log4jExtAppender
然后flumedemo的log4j.appender.flume.Source = app1，flumedemo2的log4j.appender.flume.Source = app2。
运行flumedemo的WriteLog类，和和flumedemo2的WriteLog2类，分别去hdfs上和agent的log文件中看看内容，发现hdfs上都是app1的日志，log文件中都是app2的日志，功能实现。
完整的flume.conf如下：
viewplaincopy
[*]tier1.sources=source1
[*]tier1.channels=channel1 channel2
[*]tier1.sinks=sink1 sink2
[*]tier1.sources.source1.type=avro
[*]tier1.sources.source1.bind=0.0.0.0
[*]tier1.sources.source1.port=44444
[*]tier1.sources.source1.channels=channel1 channel2
[*]tier1.sources.source1.selector.type=multiplexing
[*]tier1.sources.source1.selector.header=flume.client.log4j.logger.source
[*]tier1.sources.source1.selector.mapping.app1=channel1
[*]tier1.sources.source1.selector.mapping.app2=channel2
[*]tier1.sources.source1.interceptors=i1 i2
[*]tier1.sources.source1.interceptors.i1.type=regex_filter
[*]tier1.sources.source1.interceptors.i1.regex=\\{.*\\}
[*]tier1.sources.source1.interceptors.i2.type=timestamp
[*]tier1.channels.channel1.type=memory
[*]tier1.channels.channel1.capacity=10000
[*]tier1.channels.channel1.transactionCapacity=1000
[*]tier1.channels.channel1.keep-alive=30
[*]tier1.channels.channel2.type=memory
[*]tier1.channels.channel2.capacity=10000
[*]tier1.channels.channel2.transactionCapacity=1000
[*]tier1.channels.channel2.keep-alive=30
[*]tier1.sinks.sink1.type=hdfs
[*]tier1.sinks.sink1.channel=channel1
[*]tier1.sinks.sink1.hdfs.path=hdfs://master68:8020/flume/events/%y-%m-%d
[*]tier1.sinks.sink1.hdfs.round=true
[*]tier1.sinks.sink1.hdfs.roundValue=10
[*]tier1.sinks.sink1.hdfs.roundUnit=minute
[*]tier1.sinks.sink1.hdfs.fileType=DataStream
[*]tier1.sinks.sink1.hdfs.writeFormat=Text
[*]tier1.sinks.sink1.hdfs.rollInterval=0
[*]tier1.sinks.sink1.hdfs.rollSize=10240
[*]tier1.sinks.sink1.hdfs.rollCount=0
[*]tier1.sinks.sink1.hdfs.idleTimeout=60
[*]tier1.sinks.sink2.type=logger
[*]tier1.sinks.sink2.channel=channel2
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