HDFS

Since Camel 2.14

Both producer and consumer are supported

The HDFS component enables you to read and write messages from/to an HDFS file system using Hadoop 2.x. HDFS is the distributed file system at the heart of Hadoop.

Maven users will need to add the following dependency to their pom.xml for this component:

<dependency>
    <groupId>org.apache.camel</groupId>
    <artifactId>camel-hdfs</artifactId>
    <version>x.x.x</version>
    <!-- use the same version as your Camel core version -->
</dependency>

URI format

hdfs://hostname[:port][/path][?options]

You can append query options to the URI in the following format, ?option=value&option=value&…​
The path is treated in the following way:

  1. as a consumer, if it’s a file, it just reads the file, otherwise if it represents a directory it scans all the file under the path satisfying the configured pattern. All the files under that directory must be of the same type.

  2. as a producer, if at least one split strategy is defined, the path is considered a directory and under that directory the producer creates a different file per split named using the configured UuidGenerator.

When consuming from hdfs then in normal mode, a file is split into chunks, producing a message per chunk. You can configure the size of the chunk using the chunkSize option. If you want to read from hdfs and write to a regular file using the file component, then you can use the fileMode=Append to append each of the chunks together.

Options

The HDFS component supports 5 options, which are listed below.

Name Description Default Type

bridgeErrorHandler (consumer)

Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored.

false

boolean

lazyStartProducer (producer)

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

boolean

basicPropertyBinding (advanced)

Deprecated Whether the component should use basic property binding (Camel 2.x) or the newer property binding with additional capabilities

false

boolean

jAASConfiguration (security)

To use the given configuration for security with JAAS.

Configuration

kerberosConfigFile (security)

To use kerberos authentication, set the value of the 'java.security.krb5.conf' environment variable to an existing file. If the environment variable is already set, warn if different than the specified parameter

String

The HDFS endpoint is configured using URI syntax:

hdfs:hostName:port/path

with the following path and query parameters:

Path Parameters (3 parameters):

Name Description Default Type

hostName

Required HDFS host to use

String

port

HDFS port to use

8020

int

path

Required The directory path to use

String

Query Parameters (47 parameters):

Name Description Default Type

connectOnStartup (common)

Whether to connect to the HDFS file system on starting the producer/consumer. If false then the connection is created on-demand. Notice that HDFS may take up till 15 minutes to establish a connection, as it has hardcoded 45 x 20 sec redelivery. By setting this option to false allows your application to startup, and not block for up till 15 minutes.

true

boolean

fileSystemType (common)

Set to LOCAL to not use HDFS but local java.io.File instead. There are 2 enums and the value can be one of: LOCAL, HDFS

HDFS

HdfsFileSystemType

fileType (common)

The file type to use. For more details see Hadoop HDFS documentation about the various files types. There are 5 enums and the value can be one of: NORMAL_FILE, SEQUENCE_FILE, MAP_FILE, BLOOMMAP_FILE, ARRAY_FILE

NORMAL_FILE

HdfsFileType

keyType (common)

The type for the key in case of sequence or map files. There are 9 enums and the value can be one of: NULL, BOOLEAN, BYTE, INT, FLOAT, LONG, DOUBLE, TEXT, BYTES

NULL

WritableType

namedNodes (common)

A comma separated list of named nodes (e.g. srv11.example.com:8020,srv12.example.com:8020)

String

owner (common)

The file owner must match this owner for the consumer to pickup the file. Otherwise the file is skipped.

String

valueType (common)

The type for the key in case of sequence or map files. There are 9 enums and the value can be one of: NULL, BOOLEAN, BYTE, INT, FLOAT, LONG, DOUBLE, TEXT, BYTES

BYTES

WritableType

bridgeErrorHandler (consumer)

Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored.

false

boolean

pattern (consumer)

The pattern used for scanning the directory

*

String

sendEmptyMessageWhenIdle (consumer)

If the polling consumer did not poll any files, you can enable this option to send an empty message (no body) instead.

false

boolean

streamDownload (consumer)

Sets the download method to use when not using a local working directory. If set to true, the remote files are streamed to the route as they are read. When set to false, the remote files are loaded into memory before being sent into the route.

false

boolean

exceptionHandler (consumer)

To let the consumer use a custom ExceptionHandler. Notice if the option bridgeErrorHandler is enabled then this option is not in use. By default the consumer will deal with exceptions, that will be logged at WARN or ERROR level and ignored.

ExceptionHandler

exchangePattern (consumer)

Sets the exchange pattern when the consumer creates an exchange. There are 3 enums and the value can be one of: InOnly, InOut, InOptionalOut

ExchangePattern

pollStrategy (consumer)

A pluggable org.apache.camel.PollingConsumerPollingStrategy allowing you to provide your custom implementation to control error handling usually occurred during the poll operation before an Exchange have been created and being routed in Camel.

PollingConsumerPollStrategy

append (producer)

Append to existing file. Notice that not all HDFS file systems support the append option.

false

boolean

lazyStartProducer (producer)

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

boolean

overwrite (producer)

Whether to overwrite existing files with the same name

true

boolean

basicPropertyBinding (advanced)

Whether the endpoint should use basic property binding (Camel 2.x) or the newer property binding with additional capabilities

false

boolean

blockSize (advanced)

The size of the HDFS blocks

67108864

long

bufferSize (advanced)

The buffer size used by HDFS

4096

int

checkIdleInterval (advanced)

How often (time in millis) in to run the idle checker background task. This option is only in use if the splitter strategy is IDLE.

500

int

chunkSize (advanced)

When reading a normal file, this is split into chunks producing a message per chunk.

4096

int

compressionCodec (advanced)

The compression codec to use. There are 3 enums and the value can be one of: DEFAULT, GZIP, BZIP2

DEFAULT

HdfsCompressionCodec

compressionType (advanced)

The compression type to use (is default not in use). There are 3 enums and the value can be one of: NONE, RECORD, BLOCK

NONE

CompressionType

openedSuffix (advanced)

When a file is opened for reading/writing the file is renamed with this suffix to avoid to read it during the writing phase.

opened

String

readSuffix (advanced)

Once the file has been read is renamed with this suffix to avoid to read it again.

read

String

replication (advanced)

The HDFS replication factor

3

short

splitStrategy (advanced)

In the current version of Hadoop opening a file in append mode is disabled since it’s not very reliable. So, for the moment, it’s only possible to create new files. The Camel HDFS endpoint tries to solve this problem in this way: If the split strategy option has been defined, the hdfs path will be used as a directory and files will be created using the configured UuidGenerator. Every time a splitting condition is met, a new file is created. The splitStrategy option is defined as a string with the following syntax: splitStrategy=ST:value,ST:value,…​ where ST can be: BYTES a new file is created, and the old is closed when the number of written bytes is more than value MESSAGES a new file is created, and the old is closed when the number of written messages is more than value IDLE a new file is created, and the old is closed when no writing happened in the last value milliseconds

String

synchronous (advanced)

Sets whether synchronous processing should be strictly used, or Camel is allowed to use asynchronous processing (if supported).

false

boolean

maxMessagesPerPoll (filter)

To define a maximum messages to gather per poll. By default a limit of 100 is set. Can be used to set a limit of e.g. 1000 to avoid when starting up the server that there are thousands of files. Values can only be greater than 0. Notice: If this option is in use then the limit will be applied on the valid files. For example if you have 100000 files and use maxMessagesPerPoll=500, then only the first 500 files will be picked up.

100

int

backoffErrorThreshold (scheduler)

The number of subsequent error polls (failed due some error) that should happen before the backoffMultipler should kick-in.

int

backoffIdleThreshold (scheduler)

The number of subsequent idle polls that should happen before the backoffMultipler should kick-in.

int

backoffMultiplier (scheduler)

To let the scheduled polling consumer backoff if there has been a number of subsequent idles/errors in a row. The multiplier is then the number of polls that will be skipped before the next actual attempt is happening again. When this option is in use then backoffIdleThreshold and/or backoffErrorThreshold must also be configured.

int

delay (scheduler)

Milliseconds before the next poll.

500

long

greedy (scheduler)

If greedy is enabled, then the ScheduledPollConsumer will run immediately again, if the previous run polled 1 or more messages.

false

boolean

initialDelay (scheduler)

Milliseconds before the first poll starts.

1000

long

repeatCount (scheduler)

Specifies a maximum limit of number of fires. So if you set it to 1, the scheduler will only fire once. If you set it to 5, it will only fire five times. A value of zero or negative means fire forever.

0

long

runLoggingLevel (scheduler)

The consumer logs a start/complete log line when it polls. This option allows you to configure the logging level for that. There are 6 enums and the value can be one of: TRACE, DEBUG, INFO, WARN, ERROR, OFF

TRACE

LoggingLevel

scheduledExecutorService (scheduler)

Allows for configuring a custom/shared thread pool to use for the consumer. By default each consumer has its own single threaded thread pool.

ScheduledExecutorService

scheduler (scheduler)

To use a cron scheduler from either camel-spring or camel-quartz component. Use value spring or quartz for built in scheduler

none

Object

schedulerProperties (scheduler)

To configure additional properties when using a custom scheduler or any of the Quartz, Spring based scheduler.

Map

startScheduler (scheduler)

Whether the scheduler should be auto started.

true

boolean

timeUnit (scheduler)

Time unit for initialDelay and delay options. There are 7 enums and the value can be one of: NANOSECONDS, MICROSECONDS, MILLISECONDS, SECONDS, MINUTES, HOURS, DAYS

MILLISECONDS

TimeUnit

useFixedDelay (scheduler)

Controls if fixed delay or fixed rate is used. See ScheduledExecutorService in JDK for details.

true

boolean

kerberosConfigFileLocation (security)

The location of the kerb5.conf file (https://web.mit.edu/kerberos/krb5-1.12/doc/admin/conf_files/krb5_conf.html)

String

kerberosKeytabLocation (security)

The location of the keytab file used to authenticate with the kerberos nodes (contains pairs of kerberos principals and encrypted keys (which are derived from the Kerberos password))

String

kerberosUsername (security)

The username used to authenticate with the kerberos nodes

String

KeyType and ValueType

  • NULL it means that the key or the value is absent

  • BYTE for writing a byte, the java Byte class is mapped into a BYTE

  • BYTES for writing a sequence of bytes. It maps the java ByteBuffer class

  • INT for writing java integer

  • FLOAT for writing java float

  • LONG for writing java long

  • DOUBLE for writing java double

  • TEXT for writing java strings

BYTES is also used with everything else, for example, in Camel a file is sent around as an InputStream, int this case is written in a sequence file or a map file as a sequence of bytes.

Splitting Strategy

In the current version of Hadoop opening a file in append mode is disabled since it’s not very reliable. So, for the moment, it’s only possible to create new files. The Camel HDFS endpoint tries to solve this problem in this way:

  • If the split strategy option has been defined, the hdfs path will be used as a directory and files will be created using the configured UuidGenerator

  • Every time a splitting condition is met, a new file is created.
    The splitStrategy option is defined as a string with the following syntax: splitStrategy=<ST>:<value>,<ST>:<value>,*

where <ST> can be:

  • BYTES a new file is created, and the old is closed when the number of written bytes is more than <value>

  • MESSAGES a new file is created, and the old is closed when the number of written messages is more than <value>

  • IDLE a new file is created, and the old is closed when no writing happened in the last <value> milliseconds

note that this strategy currently requires either setting an IDLE value or setting the HdfsConstants.HDFS_CLOSE header to false to use the BYTES/MESSAGES configuration…​otherwise, the file will be closed with each message

for example:

hdfs://localhost/tmp/simple-file?splitStrategy=IDLE:1000,BYTES:5

it means: a new file is created either when it has been idle for more than 1 second or if more than 5 bytes have been written. So, running hadoop fs -ls /tmp/simple-file you’ll see that multiple files have been created.

Message Headers

The following headers are supported by this component:

Producer only

Header Description

CamelFileName

Specifies the name of the file to write (relative to the endpoint path). The name can be a String or an Expression object. Only relevant when not using a split strategy.

Controlling to close file stream

When using the HDFS producer without a split strategy, then the file output stream is by default closed after the write. However you may want to keep the stream open, and only explicitly close the stream later. For that you can use the header HdfsConstants.HDFS_CLOSE (value = "CamelHdfsClose") to control this. Setting this value to a boolean allows you to explicit control whether the stream should be closed or not.

Notice this does not apply if you use a split strategy, as there are various strategies that can control when the stream is closed.

Using this component in OSGi

There are some quirks when running this component in an OSGi environment related to the mechanism Hadoop 2.x uses to discover different org.apache.hadoop.fs.FileSystem implementations. Hadoop 2.x uses java.util.ServiceLoader which looks for /META-INF/services/org.apache.hadoop.fs.FileSystem files defining available filesystem types and implementations. These resources are not available when running inside OSGi.

As with camel-hdfs component, the default configuration files need to be visible from the bundle class loader. A typical way to deal with it is to keep a copy of core-default.xml (and e.g., hdfs-default.xml) in your bundle root.

Using this component with manually defined routes

There are two options:

  1. Package /META-INF/services/org.apache.hadoop.fs.FileSystem resource with bundle that defines the routes. This resource should list all the required Hadoop 2.x filesystem implementations.

  2. Provide boilerplate initialization code which populates internal, static cache inside org.apache.hadoop.fs.FileSystem class:

org.apache.hadoop.conf.Configuration conf = new org.apache.hadoop.conf.Configuration();
conf.setClass("fs.file.impl", org.apache.hadoop.fs.LocalFileSystem.class, FileSystem.class);
conf.setClass("fs.hdfs.impl", org.apache.hadoop.hdfs.DistributedFileSystem.class, FileSystem.class);
...
FileSystem.get("file:///", conf);
FileSystem.get("hdfs://localhost:9000/", conf);
...

Using this component with Blueprint container

Two options:

  1. Package /META-INF/services/org.apache.hadoop.fs.FileSystem resource with bundle that contains blueprint definition.

  2. Add the following to the blueprint definition file:

<bean id="hdfsOsgiHelper" class="org.apache.camel.component.hdfs.HdfsOsgiHelper">
   <argument>
      <map>
         <entry key="file:///" value="org.apache.hadoop.fs.LocalFileSystem"  />
         <entry key="hdfs://localhost:9000/" value="org.apache.hadoop.hdfs.DistributedFileSystem" />
         ...
      </map>
   </argument>
</bean>

<bean id="hdfs" class="org.apache.camel.component.hdfs.HdfsComponent" depends-on="hdfsOsgiHelper" />

This way Hadoop 2.x will have correct mapping of URI schemes to filesystem implementations.

Using this component with a HighAvailability configuration

In a HA setup, there will be multiple nodes (configured through the namedNodes parameter). The "hostname" and "port" portion of the endpoint uri will no longer have a "host" meaning, but it will represent the name given to the cluster.

You can choose whatever name you want for the cluster (the name should follow the [a-zA-Z0-9] convention). This name will be sanitized by replacing the dirty characters with underscore. This is done so that a host name or ip could pottentialy be used, if it makes sense to you.

The cluster name will be mapped to the HA filesystem with a coresponding proxy, with failover, and the works.

from("hdfs://node1_and_2_cluster/dir1/dir2?namedNodes=node1.exemple.org:8020,node2.exemple.org:8020").routeId(...)
...

Using this component with Kerberos authentication

The kerberos config file is read when the camel component is created, not when the endpoint is created. Because of this, the config file must be set at startup, with a call like:

static {
  HdfsComponent.setKerberosConfigFile("/etc/security/kerb5.conf");
}

Spring Boot Auto-Configuration

When using hdfs with Spring Boot make sure to use the following Maven dependency to have support for auto configuration:

<dependency>
  <groupId>org.apache.camel.springboot</groupId>
  <artifactId>camel-hdfs-starter</artifactId>
  <version>x.x.x</version>
  <!-- use the same version as your Camel core version -->
</dependency>

The component supports 6 options, which are listed below.

Name Description Default Type

camel.component.hdfs.autowired-enabled

Whether autowiring is enabled. This is used for automatic autowiring options (the option must be marked as autowired) by looking up in the registry to find if there is a single instance of matching type, which then gets configured on the component. This can be used for automatic configuring JDBC data sources, JMS connection factories, AWS Clients, etc.

true

Boolean

camel.component.hdfs.bridge-error-handler

Allows for bridging the consumer to the Camel routing Error Handler, which mean any exceptions occurred while the consumer is trying to pickup incoming messages, or the likes, will now be processed as a message and handled by the routing Error Handler. By default the consumer will use the org.apache.camel.spi.ExceptionHandler to deal with exceptions, that will be logged at WARN or ERROR level and ignored.

false

Boolean

camel.component.hdfs.enabled

Whether to enable auto configuration of the hdfs component. This is enabled by default.

Boolean

camel.component.hdfs.j-a-a-s-configuration

To use the given configuration for security with JAAS. The option is a javax.security.auth.login.Configuration type.

Configuration

camel.component.hdfs.kerberos-config-file

To use kerberos authentication, set the value of the 'java.security.krb5.conf' environment variable to an existing file. If the environment variable is already set, warn if different than the specified parameter

String

camel.component.hdfs.lazy-start-producer

Whether the producer should be started lazy (on the first message). By starting lazy you can use this to allow CamelContext and routes to startup in situations where a producer may otherwise fail during starting and cause the route to fail being started. By deferring this startup to be lazy then the startup failure can be handled during routing messages via Camel’s routing error handlers. Beware that when the first message is processed then creating and starting the producer may take a little time and prolong the total processing time of the processing.

false

Boolean
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