org.apache.hadoop.metrics2.sink.RollingFileSystemSink Maven / Gradle / Ivy
/**
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package org.apache.hadoop.metrics2.sink;
import com.google.common.annotations.VisibleForTesting;
import java.io.Closeable;
import java.io.IOException;
import java.io.PrintStream;
import java.net.InetAddress;
import java.net.URI;
import java.net.URISyntaxException;
import java.nio.charset.StandardCharsets;
import java.util.Calendar;
import java.util.Date;
import java.util.TimeZone;
import java.util.Timer;
import java.util.TimerTask;
import java.util.concurrent.ThreadLocalRandom;
import java.util.concurrent.TimeUnit;
import java.util.regex.Matcher;
import java.util.regex.Pattern;
import org.apache.commons.configuration2.SubsetConfiguration;
import org.apache.commons.lang.time.FastDateFormat;
import org.apache.hadoop.classification.InterfaceAudience;
import org.apache.hadoop.classification.InterfaceStability;
import org.apache.hadoop.conf.Configuration;
import org.apache.hadoop.fs.FSDataOutputStream;
import org.apache.hadoop.fs.FileSystem;
import org.apache.hadoop.fs.LocatedFileStatus;
import org.apache.hadoop.fs.Path;
import org.apache.hadoop.fs.RemoteIterator;
import org.apache.hadoop.metrics2.AbstractMetric;
import org.apache.hadoop.metrics2.MetricsException;
import org.apache.hadoop.metrics2.MetricsRecord;
import org.apache.hadoop.metrics2.MetricsSink;
import org.apache.hadoop.metrics2.MetricsTag;
import org.apache.hadoop.security.SecurityUtil;
import org.apache.hadoop.security.UserGroupInformation;
/**
* This class is a metrics sink that uses
* {@link org.apache.hadoop.fs.FileSystem} to write the metrics logs. Every
* roll interval a new directory will be created under the path specified by the
* basepath property. All metrics will be logged to a file in the
* current interval's directory in a file named <hostname>.log, where
* <hostname> is the name of the host on which the metrics logging
* process is running. The base path is set by the
* <prefix>.sink.<instance>.basepath property. The
* time zone used to create the current interval's directory name is GMT. If
* the basepath property isn't specified, it will default to
* "/tmp", which is the temp directory on whatever default file
* system is configured for the cluster.
*
* The <prefix>.sink.<instance>.ignore-error
* property controls whether an exception is thrown when an error is encountered
* writing a log file. The default value is true. When set to
* false, file errors are quietly swallowed.
*
* The roll-interval property sets the amount of time before
* rolling the directory. The default value is 1 hour. The roll interval may
* not be less than 1 minute. The property's value should be given as
* number unit, where number is an integer value, and
* unit is a valid unit. Valid units are minute, hour,
* and day. The units are case insensitive and may be abbreviated or
* plural. If no units are specified, hours are assumed. For example,
* "2", "2h", "2 hour", and
* "2 hours" are all valid ways to specify two hours.
*
* The roll-offset-interval-millis property sets the upper
* bound on a random time interval (in milliseconds) that is used to delay
* before the initial roll. All subsequent rolls will happen an integer
* number of roll intervals after the initial roll, hence retaining the original
* offset. The purpose of this property is to insert some variance in the roll
* times so that large clusters using this sink on every node don't cause a
* performance impact on HDFS by rolling simultaneously. The default value is
* 30000 (30s). When writing to HDFS, as a rule of thumb, the roll offset in
* millis should be no less than the number of sink instances times 5.
*
*
The primary use of this class is for logging to HDFS. As it uses
* {@link org.apache.hadoop.fs.FileSystem} to access the target file system,
* however, it can be used to write to the local file system, Amazon S3, or any
* other supported file system. The base path for the sink will determine the
* file system used. An unqualified path will write to the default file system
* set by the configuration.
*
* Not all file systems support the ability to append to files. In file
* systems without the ability to append to files, only one writer can write to
* a file at a time. To allow for concurrent writes from multiple daemons on a
* single host, the source property is used to set unique headers
* for the log files. The property should be set to the name of
* the source daemon, e.g. namenode. The value of the
* source property should typically be the same as the property's
* prefix. If this property is not set, the source is taken to be
* unknown.
*
* Instead of appending to an existing file, by default the sink
* will create a new file with a suffix of ".<n>&quet;, where
* n is the next lowest integer that isn't already used in a file name,
* similar to the Hadoop daemon logs. NOTE: the file with the highest
* sequence number is the newest file, unlike the Hadoop daemon logs.
*
* For file systems that allow append, the sink supports appending to the
* existing file instead. If the allow-append property is set to
* true, the sink will instead append to the existing file on file systems that
* support appends. By default, the allow-append property is
* false.
*
* Note that when writing to HDFS with allow-append set to true,
* there is a minimum acceptable number of data nodes. If the number of data
* nodes drops below that minimum, the append will succeed, but reading the
* data will fail with an IOException in the DataStreamer class. The minimum
* number of data nodes required for a successful append is generally 2 or
* 3.
*
* Note also that when writing to HDFS, the file size information is not
* updated until the file is closed (at the end of the interval) even though
* the data is being written successfully. This is a known HDFS limitation that
* exists because of the performance cost of updating the metadata. See
* HDFS-5478.
*
* When using this sink in a secure (Kerberos) environment, two additional
* properties must be set: keytab-key and
* principal-key. keytab-key should contain the key by
* which the keytab file can be found in the configuration, for example,
* yarn.nodemanager.keytab. principal-key should
* contain the key by which the principal can be found in the configuration,
* for example, yarn.nodemanager.principal.
*/
@InterfaceAudience.Public
@InterfaceStability.Evolving
public class RollingFileSystemSink implements MetricsSink, Closeable {
private static final String BASEPATH_KEY = "basepath";
private static final String SOURCE_KEY = "source";
private static final String IGNORE_ERROR_KEY = "ignore-error";
private static final boolean DEFAULT_IGNORE_ERROR = false;
private static final String ALLOW_APPEND_KEY = "allow-append";
private static final boolean DEFAULT_ALLOW_APPEND = false;
private static final String KEYTAB_PROPERTY_KEY = "keytab-key";
private static final String USERNAME_PROPERTY_KEY = "principal-key";
private static final String ROLL_INTERVAL_KEY = "roll-interval";
private static final String DEFAULT_ROLL_INTERVAL = "1h";
private static final String ROLL_OFFSET_INTERVAL_MILLIS_KEY =
"roll-offset-interval-millis";
private static final int DEFAULT_ROLL_OFFSET_INTERVAL_MILLIS = 30000;
private static final String SOURCE_DEFAULT = "unknown";
private static final String BASEPATH_DEFAULT = "/tmp";
private static final FastDateFormat DATE_FORMAT =
FastDateFormat.getInstance("yyyyMMddHHmm", TimeZone.getTimeZone("GMT"));
private final Object lock = new Object();
private boolean initialized = false;
private SubsetConfiguration properties;
private Configuration conf;
@VisibleForTesting
protected String source;
@VisibleForTesting
protected boolean ignoreError;
@VisibleForTesting
protected boolean allowAppend;
@VisibleForTesting
protected Path basePath;
private FileSystem fileSystem;
// The current directory path into which we're writing files
private Path currentDirPath;
// The path to the current file into which we're writing data
private Path currentFilePath;
// The stream to which we're currently writing.
private PrintStream currentOutStream;
// We keep this only to be able to call hsynch() on it.
private FSDataOutputStream currentFSOutStream;
private Timer flushTimer;
// The amount of time between rolls
@VisibleForTesting
protected long rollIntervalMillis;
// The maximum amount of random time to add to the initial roll
@VisibleForTesting
protected long rollOffsetIntervalMillis;
// The time for the nextFlush
@VisibleForTesting
protected Calendar nextFlush = null;
// This flag when true causes a metrics write to schedule a flush thread to
// run immediately, but only if a flush thread is already scheduled. (It's a
// timing thing. If the first write forces the flush, it will strand the
// second write.)
@VisibleForTesting
protected static boolean forceFlush = false;
// This flag is used by the flusher thread to indicate that it has run. Used
// only for testing purposes.
@VisibleForTesting
protected static volatile boolean hasFlushed = false;
// Use this configuration instead of loading a new one.
@VisibleForTesting
protected static Configuration suppliedConf = null;
// Use this file system instead of getting a new one.
@VisibleForTesting
protected static FileSystem suppliedFilesystem = null;
/**
* Create an empty instance. Required for reflection.
*/
public RollingFileSystemSink() {
}
/**
* Create an instance for testing.
*
* @param flushIntervalMillis the roll interval in millis
* @param flushOffsetIntervalMillis the roll offset interval in millis
*/
@VisibleForTesting
protected RollingFileSystemSink(long flushIntervalMillis,
long flushOffsetIntervalMillis) {
this.rollIntervalMillis = flushIntervalMillis;
this.rollOffsetIntervalMillis = flushOffsetIntervalMillis;
}
@Override
public void init(SubsetConfiguration metrics2Properties) {
properties = metrics2Properties;
basePath = new Path(properties.getString(BASEPATH_KEY, BASEPATH_DEFAULT));
source = properties.getString(SOURCE_KEY, SOURCE_DEFAULT);
ignoreError = properties.getBoolean(IGNORE_ERROR_KEY, DEFAULT_IGNORE_ERROR);
allowAppend = properties.getBoolean(ALLOW_APPEND_KEY, DEFAULT_ALLOW_APPEND);
rollOffsetIntervalMillis =
getNonNegative(ROLL_OFFSET_INTERVAL_MILLIS_KEY,
DEFAULT_ROLL_OFFSET_INTERVAL_MILLIS);
rollIntervalMillis = getRollInterval();
conf = loadConf();
UserGroupInformation.setConfiguration(conf);
// Don't do secure setup if it's not needed.
if (UserGroupInformation.isSecurityEnabled()) {
// Validate config so that we don't get an NPE
checkIfPropertyExists(KEYTAB_PROPERTY_KEY);
checkIfPropertyExists(USERNAME_PROPERTY_KEY);
try {
// Login as whoever we're supposed to be and let the hostname be pulled
// from localhost. If security isn't enabled, this does nothing.
SecurityUtil.login(conf, properties.getString(KEYTAB_PROPERTY_KEY),
properties.getString(USERNAME_PROPERTY_KEY));
} catch (IOException ex) {
throw new MetricsException("Error logging in securely: ["
+ ex.toString() + "]", ex);
}
}
}
/**
* Initialize the connection to HDFS and create the base directory. Also
* launch the flush thread.
*/
private boolean initFs() {
boolean success = false;
fileSystem = getFileSystem();
// This step isn't strictly necessary, but it makes debugging issues much
// easier. We try to create the base directory eagerly and fail with
// copious debug info if it fails.
try {
fileSystem.mkdirs(basePath);
success = true;
} catch (Exception ex) {
if (!ignoreError) {
throw new MetricsException("Failed to create " + basePath + "["
+ SOURCE_KEY + "=" + source + ", "
+ ALLOW_APPEND_KEY + "=" + allowAppend + ", "
+ stringifySecurityProperty(KEYTAB_PROPERTY_KEY) + ", "
+ stringifySecurityProperty(USERNAME_PROPERTY_KEY)
+ "] -- " + ex.toString(), ex);
}
}
if (success) {
// If we're permitted to append, check if we actually can
if (allowAppend) {
allowAppend = checkAppend(fileSystem);
}
flushTimer = new Timer("RollingFileSystemSink Flusher", true);
setInitialFlushTime(new Date());
}
return success;
}
/**
* Turn a security property into a nicely formatted set of name=value
* strings, allowing for either the property or the configuration not to be
* set.
*
* @param property the property to stringify
* @return the stringified property
*/
private String stringifySecurityProperty(String property) {
String securityProperty;
if (properties.containsKey(property)) {
String propertyValue = properties.getString(property);
String confValue = conf.get(properties.getString(property));
if (confValue != null) {
securityProperty = property + "=" + propertyValue
+ ", " + properties.getString(property) + "=" + confValue;
} else {
securityProperty = property + "=" + propertyValue
+ ", " + properties.getString(property) + "=";
}
} else {
securityProperty = property + "=";
}
return securityProperty;
}
/**
* Extract the roll interval from the configuration and return it in
* milliseconds.
*
* @return the roll interval in millis
*/
@VisibleForTesting
protected long getRollInterval() {
String rollInterval =
properties.getString(ROLL_INTERVAL_KEY, DEFAULT_ROLL_INTERVAL);
Pattern pattern = Pattern.compile("^\\s*(\\d+)\\s*([A-Za-z]*)\\s*$");
Matcher match = pattern.matcher(rollInterval);
long millis;
if (match.matches()) {
String flushUnit = match.group(2);
int rollIntervalInt;
try {
rollIntervalInt = Integer.parseInt(match.group(1));
} catch (NumberFormatException ex) {
throw new MetricsException("Unrecognized flush interval: "
+ rollInterval + ". Must be a number followed by an optional "
+ "unit. The unit must be one of: minute, hour, day", ex);
}
if ("".equals(flushUnit)) {
millis = TimeUnit.HOURS.toMillis(rollIntervalInt);
} else {
switch (flushUnit.toLowerCase()) {
case "m":
case "min":
case "minute":
case "minutes":
millis = TimeUnit.MINUTES.toMillis(rollIntervalInt);
break;
case "h":
case "hr":
case "hour":
case "hours":
millis = TimeUnit.HOURS.toMillis(rollIntervalInt);
break;
case "d":
case "day":
case "days":
millis = TimeUnit.DAYS.toMillis(rollIntervalInt);
break;
default:
throw new MetricsException("Unrecognized unit for flush interval: "
+ flushUnit + ". Must be one of: minute, hour, day");
}
}
} else {
throw new MetricsException("Unrecognized flush interval: "
+ rollInterval + ". Must be a number followed by an optional unit."
+ " The unit must be one of: minute, hour, day");
}
if (millis < 60000) {
throw new MetricsException("The flush interval property must be "
+ "at least 1 minute. Value was " + rollInterval);
}
return millis;
}
/**
* Return the property value if it's non-negative and throw an exception if
* it's not.
*
* @param key the property key
* @param defaultValue the default value
*/
private long getNonNegative(String key, int defaultValue) {
int flushOffsetIntervalMillis = properties.getInt(key, defaultValue);
if (flushOffsetIntervalMillis < 0) {
throw new MetricsException("The " + key + " property must be "
+ "non-negative. Value was " + flushOffsetIntervalMillis);
}
return flushOffsetIntervalMillis;
}
/**
* Throw a {@link MetricsException} if the given property is not set.
*
* @param key the key to validate
*/
private void checkIfPropertyExists(String key) {
if (!properties.containsKey(key)) {
throw new MetricsException("Metrics2 configuration is missing " + key
+ " property");
}
}
/**
* Return the supplied configuration for testing or otherwise load a new
* configuration.
*
* @return the configuration to use
*/
private Configuration loadConf() {
Configuration c;
if (suppliedConf != null) {
c = suppliedConf;
} else {
// The config we're handed in init() isn't the one we want here, so we
// create a new one to pick up the full settings.
c = new Configuration();
}
return c;
}
/**
* Return the supplied file system for testing or otherwise get a new file
* system.
*
* @return the file system to use
* @throws MetricsException thrown if the file system could not be retrieved
*/
private FileSystem getFileSystem() throws MetricsException {
FileSystem fs = null;
if (suppliedFilesystem != null) {
fs = suppliedFilesystem;
} else {
try {
fs = FileSystem.get(new URI(basePath.toString()), conf);
} catch (URISyntaxException ex) {
throw new MetricsException("The supplied filesystem base path URI"
+ " is not a valid URI: " + basePath.toString(), ex);
} catch (IOException ex) {
throw new MetricsException("Error connecting to file system: "
+ basePath + " [" + ex.toString() + "]", ex);
}
}
return fs;
}
/**
* Test whether the file system supports append and return the answer.
*
* @param fs the target file system
*/
private boolean checkAppend(FileSystem fs) {
boolean canAppend = true;
try {
fs.append(basePath);
} catch (UnsupportedOperationException ex) {
canAppend = false;
} catch (IOException ex) {
// Ignore. The operation is supported.
}
return canAppend;
}
/**
* Check the current directory against the time stamp. If they're not
* the same, create a new directory and a new log file in that directory.
*
* @throws MetricsException thrown if an error occurs while creating the
* new directory or new log file
*/
private void rollLogDirIfNeeded() throws MetricsException {
// Because we're working relative to the clock, we use a Date instead
// of Time.monotonicNow().
Date now = new Date();
// We check whether currentOutStream is null instead of currentDirPath,
// because if currentDirPath is null, then currentOutStream is null, but
// currentOutStream can be null for other reasons. Same for nextFlush.
if ((currentOutStream == null) || now.after(nextFlush.getTime())) {
// If we're not yet connected to HDFS, create the connection
if (!initialized) {
initialized = initFs();
}
if (initialized) {
// Close the stream. This step could have been handled already by the
// flusher thread, but if it has, the PrintStream will just swallow the
// exception, which is fine.
if (currentOutStream != null) {
currentOutStream.close();
}
currentDirPath = findCurrentDirectory(now);
try {
rollLogDir();
} catch (IOException ex) {
throwMetricsException("Failed to create new log file", ex);
}
// Update the time of the next flush
updateFlushTime(now);
// Schedule the next flush at that time
scheduleFlush(nextFlush.getTime());
}
} else if (forceFlush) {
scheduleFlush(new Date());
}
}
/**
* Use the given time to determine the current directory. The current
* directory will be based on the {@link #rollIntervalMinutes}.
*
* @param now the current time
* @return the current directory
*/
private Path findCurrentDirectory(Date now) {
long offset = ((now.getTime() - nextFlush.getTimeInMillis())
/ rollIntervalMillis) * rollIntervalMillis;
String currentDir =
DATE_FORMAT.format(new Date(nextFlush.getTimeInMillis() + offset));
return new Path(basePath, currentDir);
}
/**
* Schedule the current interval's directory to be flushed. If this ends up
* running after the top of the next interval, it will execute immediately.
*
* @param when the time the thread should run
*/
private void scheduleFlush(Date when) {
// Store the current currentDirPath to close later
final PrintStream toClose = currentOutStream;
flushTimer.schedule(new TimerTask() {
@Override
public void run() {
synchronized (lock) {
// This close may have already been done by a putMetrics() call. If it
// has, the PrintStream will swallow the exception, which is fine.
toClose.close();
}
hasFlushed = true;
}
}, when);
}
/**
* Update the {@link #nextFlush} variable to the next flush time. Add
* an integer number of flush intervals, preserving the initial random offset.
*
* @param now the current time
*/
@VisibleForTesting
protected void updateFlushTime(Date now) {
// In non-initial rounds, add an integer number of intervals to the last
// flush until a time in the future is achieved, thus preserving the
// original random offset.
int millis =
(int) (((now.getTime() - nextFlush.getTimeInMillis())
/ rollIntervalMillis + 1) * rollIntervalMillis);
nextFlush.add(Calendar.MILLISECOND, millis);
}
/**
* Set the {@link #nextFlush} variable to the initial flush time. The initial
* flush will be an integer number of flush intervals past the beginning of
* the current hour and will have a random offset added, up to
* {@link #rollOffsetIntervalMillis}. The initial flush will be a time in
* past that can be used from which to calculate future flush times.
*
* @param now the current time
*/
@VisibleForTesting
protected void setInitialFlushTime(Date now) {
// Start with the beginning of the current hour
nextFlush = Calendar.getInstance();
nextFlush.setTime(now);
nextFlush.set(Calendar.MILLISECOND, 0);
nextFlush.set(Calendar.SECOND, 0);
nextFlush.set(Calendar.MINUTE, 0);
// In the first round, calculate the first flush as the largest number of
// intervals from the beginning of the current hour that's not in the
// future by:
// 1. Subtract the beginning of the hour from the current time
// 2. Divide by the roll interval and round down to get the number of whole
// intervals that have passed since the beginning of the hour
// 3. Multiply by the roll interval to get the number of millis between
// the beginning of the current hour and the beginning of the current
// interval.
int millis = (int) (((now.getTime() - nextFlush.getTimeInMillis())
/ rollIntervalMillis) * rollIntervalMillis);
// Then add some noise to help prevent all the nodes from
// closing their files at the same time.
if (rollOffsetIntervalMillis > 0) {
millis += ThreadLocalRandom.current().nextLong(rollOffsetIntervalMillis);
// If the added time puts us into the future, step back one roll interval
// because the code to increment nextFlush to the next flush expects that
// nextFlush is the next flush from the previous interval. There wasn't
// a previous interval, so we just fake it with the time in the past that
// would have been the previous interval if there had been one.
//
// It's OK if millis comes out negative.
while (nextFlush.getTimeInMillis() + millis > now.getTime()) {
millis -= rollIntervalMillis;
}
}
// Adjust the next flush time by millis to get the time of our ficticious
// previous next flush
nextFlush.add(Calendar.MILLISECOND, millis);
}
/**
* Create a new directory based on the current interval and a new log file in
* that directory.
*
* @throws IOException thrown if an error occurs while creating the
* new directory or new log file
*/
private void rollLogDir() throws IOException {
String fileName =
source + "-" + InetAddress.getLocalHost().getHostName() + ".log";
Path targetFile = new Path(currentDirPath, fileName);
fileSystem.mkdirs(currentDirPath);
if (allowAppend) {
createOrAppendLogFile(targetFile);
} else {
createLogFile(targetFile);
}
}
/**
* Create a new log file and return the {@link FSDataOutputStream}. If a
* file with the specified path already exists, add a suffix, starting with 1
* and try again. Keep incrementing the suffix until a nonexistent target
* path is found.
*
* Once the file is open, update {@link #currentFSOutStream},
* {@link #currentOutStream}, and {@#link #currentFilePath} are set
* appropriately.
*
* @param initial the target path
* @throws IOException thrown if the call to see if the exists fails
*/
private void createLogFile(Path initial) throws IOException {
Path currentAttempt = initial;
// Start at 0 so that if the base filname exists, we start with the suffix
// ".1".
int id = 0;
while (true) {
// First try blindly creating the file. If we fail, it either means
// the file exists, or the operation actually failed. We do it this way
// because if we check whether the file exists, it might still be created
// by the time we try to create it. Creating first works like a
// test-and-set.
try {
currentFSOutStream = fileSystem.create(currentAttempt, false);
currentOutStream = new PrintStream(currentFSOutStream, true,
StandardCharsets.UTF_8.name());
currentFilePath = currentAttempt;
break;
} catch (IOException ex) {
// Now we can check to see if the file exists to know why we failed
if (fileSystem.exists(currentAttempt)) {
id = getNextIdToTry(initial, id);
currentAttempt = new Path(initial.toString() + "." + id);
} else {
throw ex;
}
}
}
}
/**
* Return the next ID suffix to use when creating the log file. This method
* will look at the files in the directory, find the one with the highest
* ID suffix, and 1 to that suffix, and return it. This approach saves a full
* linear probe, which matters in the case where there are a large number of
* log files.
*
* @param initial the base file path
* @param lastId the last ID value that was used
* @return the next ID to try
* @throws IOException thrown if there's an issue querying the files in the
* directory
*/
private int getNextIdToTry(Path initial, int lastId)
throws IOException {
RemoteIterator files =
fileSystem.listFiles(currentDirPath, true);
String base = initial.toString();
int id = lastId;
while (files.hasNext()) {
String file = files.next().getPath().getName();
if (file.startsWith(base)) {
int fileId = extractId(file);
if (fileId > id) {
id = fileId;
}
}
}
// Return either 1 more than the highest we found or 1 more than the last
// ID used (if no ID was found).
return id + 1;
}
/**
* Extract the ID from the suffix of the given file name.
*
* @param file the file name
* @return the ID or -1 if no ID could be extracted
*/
private int extractId(String file) {
int index = file.lastIndexOf(".");
int id = -1;
// A hostname has to have at least 1 character
if (index > 0) {
try {
id = Integer.parseInt(file.substring(index + 1));
} catch (NumberFormatException ex) {
// This can happen if there's no suffix, but there is a dot in the
// hostname. Just ignore it.
}
}
return id;
}
/**
* Create a new log file and return the {@link FSDataOutputStream}. If a
* file with the specified path already exists, open the file for append
* instead.
*
* Once the file is open, update {@link #currentFSOutStream},
* {@link #currentOutStream}, and {@#link #currentFilePath}.
*
* @param initial the target path
* @throws IOException thrown if the call to see the append operation fails.
*/
private void createOrAppendLogFile(Path targetFile) throws IOException {
// First try blindly creating the file. If we fail, it either means
// the file exists, or the operation actually failed. We do it this way
// because if we check whether the file exists, it might still be created
// by the time we try to create it. Creating first works like a
// test-and-set.
try {
currentFSOutStream = fileSystem.create(targetFile, false);
currentOutStream = new PrintStream(currentFSOutStream, true,
StandardCharsets.UTF_8.name());
} catch (IOException ex) {
// Try appending instead. If we fail, if means the file doesn't
// actually exist yet or the operation actually failed.
try {
currentFSOutStream = fileSystem.append(targetFile);
currentOutStream = new PrintStream(currentFSOutStream, true,
StandardCharsets.UTF_8.name());
} catch (IOException ex2) {
// If the original create failed for a legit but transitory
// reason, the append will fail because the file now doesn't exist,
// resulting in a confusing stack trace. To avoid that, we set
// the cause of the second exception to be the first exception.
// It's still a tiny bit confusing, but it's enough
// information that someone should be able to figure it out.
ex2.initCause(ex);
throw ex2;
}
}
currentFilePath = targetFile;
}
@Override
public void putMetrics(MetricsRecord record) {
synchronized (lock) {
rollLogDirIfNeeded();
if (currentOutStream != null) {
currentOutStream.printf("%d %s.%s", record.timestamp(),
record.context(), record.name());
String separator = ": ";
for (MetricsTag tag : record.tags()) {
currentOutStream.printf("%s%s=%s", separator, tag.name(),
tag.value());
separator = ", ";
}
for (AbstractMetric metric : record.metrics()) {
currentOutStream.printf("%s%s=%s", separator, metric.name(),
metric.value());
}
currentOutStream.println();
// If we don't hflush(), the data may not be written until the file is
// closed. The file won't be closed until the end of the interval *AND*
// another record is received. Calling hflush() makes sure that the data
// is complete at the end of the interval.
try {
currentFSOutStream.hflush();
} catch (IOException ex) {
throwMetricsException("Failed flushing the stream", ex);
}
checkForErrors("Unable to write to log file");
} else if (!ignoreError) {
throwMetricsException("Unable to write to log file");
}
}
}
@Override
public void flush() {
synchronized (lock) {
// currentOutStream is null if currentFSOutStream is null
if (currentFSOutStream != null) {
try {
currentFSOutStream.hflush();
} catch (IOException ex) {
throwMetricsException("Unable to flush log file", ex);
}
}
}
}
@Override
public void close() {
synchronized (lock) {
if (currentOutStream != null) {
currentOutStream.close();
try {
checkForErrors("Unable to close log file");
} finally {
// Null out the streams just in case someone tries to reuse us.
currentOutStream = null;
currentFSOutStream = null;
}
}
}
}
/**
* If the sink isn't set to ignore errors, throw a {@link MetricsException}
* if the stream encountered an exception. The message parameter will be used
* as the new exception's message with the current file name
* ({@link #currentFilePath}) appended to it.
*
* @param message the exception message. The message will have a colon and
* the current file name ({@link #currentFilePath}) appended to it.
* @throws MetricsException thrown if there was an error and the sink isn't
* ignoring errors
*/
private void checkForErrors(String message)
throws MetricsException {
if (!ignoreError && currentOutStream.checkError()) {
throw new MetricsException(message + ": " + currentFilePath);
}
}
/**
* If the sink isn't set to ignore errors, wrap the Throwable in a
* {@link MetricsException} and throw it. The message parameter will be used
* as the new exception's message with the current file name
* ({@link #currentFilePath}) and the Throwable's string representation
* appended to it.
*
* @param message the exception message. The message will have a colon, the
* current file name ({@link #currentFilePath}), and the Throwable's string
* representation (wrapped in square brackets) appended to it.
* @param t the Throwable to wrap
*/
private void throwMetricsException(String message, Throwable t) {
if (!ignoreError) {
throw new MetricsException(message + ": " + currentFilePath + " ["
+ t.toString() + "]", t);
}
}
/**
* If the sink isn't set to ignore errors, throw a new
* {@link MetricsException}. The message parameter will be used as the
* new exception's message with the current file name
* ({@link #currentFilePath}) appended to it.
*
* @param message the exception message. The message will have a colon and
* the current file name ({@link #currentFilePath}) appended to it.
*/
private void throwMetricsException(String message) {
if (!ignoreError) {
throw new MetricsException(message + ": " + currentFilePath);
}
}
}