HDFS Connector

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The Anypoint Connector for the Hadoop Distributed File System (HDFS) uses as a bi-directional gateway between Mule applications and your Apache Hadoop instance.

Prerequisites

To use the HDFS connector, you must have the following:

A working Apache Hadoop Server.
Anypoint Studio Community edition.

This document assumes that you are familiar with Mule, Anypoint Connectors, and the Anypoint Studio Essentials. To increase your familiarity with Studio, consider completing one or more Anypoint Studio Tutorials. Further, this page assumes that you have a basic understanding of Mule flows and Mule Global Elements.

This document describes implementation examples within the context of Anypoint Studio, Mule ESB’s graphical user interface, and also includes configuration details for doing the same in the XML Editor.

Compatibility

HDFS Hadoop connector is compatible with the following:

Application/Service	Version
Mule Runtime	3.6 or higher
Apache Hadoop	2.6.0 or higher

Application/Service

Version

Mule Runtime

3.6 or higher

Apache Hadoop

2.6.0 or higher

Installing and Configuring

Installing HDFS Connector in Anypoint Studio

You can install a connector in Anypoint Studio using the instructions in To Install a Connector from Anypoint Exchange.

Configuring a Global Element

To use the HDFS connector in your Mule application, you must configure a global HDFS element that can be used by all the HDFS connectors in the application.

In Anypoint Studio, click the Global Elements tab at the base of the canvas, and click Create.
In the Choose Global Type wizard, use the filter to locate and select HDFS, and click OK.

Configure the parameters according to the table below.

Parameter	Description
Name	Enter a name for the configuration with which it can be referenced later.
NameNode URI	Enter the host name or IP address of the master node of the Hadoop cluster.
Username	Enter a Hadoop File System username.
Configuration Resources	If you want to override the configuration resources of the Hadoop instance, select a suitable option from here.
Configuration Entries	If you want to override the configuration entries of the Hadoop instance, select a suitable option from here.

Parameter

Description

Name

Enter a name for the configuration with which it can be referenced later.

NameNode URI

Enter the host name or IP address of the master node of the Hadoop cluster.

Username

Enter a Hadoop File System username.

Configuration Resources

If you want to override the configuration resources of the Hadoop instance, select a suitable option from here.

Configuration Entries

If you want to override the configuration entries of the Hadoop instance, select a suitable option from here.

Access the Pooling Profile tab to configure any settings relevant to managing multiple connections using a connection pool.
Access the Reconnection tab to configure any settings relevant to reconnection strategies that Mule should execute if it loses its connection to HDFS.
Click Test Connection to receive a Connection Successful message.
Click OK to save the global connector configurations.
Return to the Message Flow tab in Studio.

Configuring with the XML Editor

Ensure that you have included the HDFS namespaces in your configuration file.

<mule xmlns:mulexml="http://www.mulesoft.org/schema/mule/xml" xmlns:hdfs="http://www.mulesoft.org/schema/mule/hdfs"
      xmlns:http="http://www.mulesoft.org/schema/mule/http"
      xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
      xmlns:spring="http://www.springframework.org/schema/beans"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.mulesoft.org/schema/mule/core" xsi:schemaLocation="http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd
http://www.mulesoft.org/schema/mule/hdfs http://www.mulesoft.org/schema/mule/hdfs/current/mule-hdfs.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd
http://www.mulesoft.org/schema/mule/xml http://www.mulesoft.org/schema/mule/xml/current/mule-xml.xsd">

Follow these steps to configure a HDFS connector in your application:

Create a global HDFS configuration outside and above your flows, using the following global configuration code.

<!-- Simple configuration -->
<hdfs:config nameNodeUri="${mule.HDFS.nameNodeUri}" username="${mule.HDFS.username}"/>

Parameter Description

Parameter	Description
Name	Enter a name for the configuration with which it can be referenced later by config-ref. The name in this example is `hdfs:config`.
nameNode Uri	Enter the host name or IP address of the master node of the Hadoop cluster.
username	Enter the Hadoop FileSystem username.

Name

Enter a name for the configuration with which it can be referenced later by config-ref. The name in this example is hdfs:config.

nameNode Uri

Enter the host name or IP address of the master node of the Hadoop cluster.

username

Enter the Hadoop FileSystem username.

Using the Connector

HDFS connector is an operation-based connector, which means that when you add the connector to your flow, you need to configure a specific operation for the connector to perform. The HDFS connector currently supports the following list of operations:

Operation	XML Element	Description
Append to File	<hdfs:append>	Append the current payload to a file located at the designated path.
Copy from Local File	<hdfs:copy-from-local-file>	Copy the source file on the local disk to the FileSystem at the given target path. Set deleteSource if the source should be removed.
Copy to Local File	<hdfs:copy-to-local-file>	Copy the source file on the FileSystem to local disk at the given target path. Set deleteSource if the source should be removed.
Delete Directories	<hdfs:delete-directory>	Delete the file or directory located at the designated path.
Delete File	<hdfs:delete-file>	Delete the file or directory located at the designated path.
Get Path Meta Data	<hdfs:get-metadata>	Get the metadata of a path and store it in flow variables.
Glob Status	<hdfs:glob-status>	Return all the files that match file pattern and are not checksum files.
List Status	<hdfs:list-status>	List the statuses of the files and directories in the given path if the path is a directory.
Make Directories	<hdfs:make-directories>	Make the file and all non-existent parents into directories.
Read from Path	<hdfs:read>	Read the content of a file designated by its path and stream the content to the rest of the flow. Also add the HDFS_PATH_EXISTS and HDFS_CONTENT_SUMMARY inbound properties to the path metadata.
Rename	<hdfs:rename>	Rename path target to path destination.
Set Owner	<hdfs:set-owner>	Set the owner of a path, which can be a path to a file or a directory.
Set Permission	<hdfs:set-permission>	Set the permission of a path, which can be a path to a file or a directory.
Write to Path	<hdfs:write>	Write the current payload to the designated path, either creating a new file or appending to an existing one.

Operation

XML Element

Description

Append to File

<hdfs:append>

Append the current payload to a file located at the designated path.

Copy from Local File

<hdfs:copy-from-local-file>

Copy the source file on the local disk to the FileSystem at the given target path. Set deleteSource if the source should be removed.

Copy to Local File

<hdfs:copy-to-local-file>

Copy the source file on the FileSystem to local disk at the given target path. Set deleteSource if the source should be removed.

Delete Directories

<hdfs:delete-directory>

Delete the file or directory located at the designated path.

Delete File

<hdfs:delete-file>

Delete the file or directory located at the designated path.

Get Path Meta Data

<hdfs:get-metadata>

Get the metadata of a path and store it in flow variables.

Glob Status

<hdfs:glob-status>

Return all the files that match file pattern and are not checksum files.

List Status

<hdfs:list-status>

List the statuses of the files and directories in the given path if the path is a directory.

Make Directories

<hdfs:make-directories>

Make the file and all non-existent parents into directories.

Read from Path

<hdfs:read>

Read the content of a file designated by its path and stream the content to the rest of the flow. Also add the HDFS_PATH_EXISTS and HDFS_CONTENT_SUMMARY inbound properties to the path metadata.

Rename

<hdfs:rename>

Rename path target to path destination.

Set Owner

<hdfs:set-owner>

Set the owner of a path, which can be a path to a file or a directory.

Set Permission

<hdfs:set-permission>

Set the permission of a path, which can be a path to a file or a directory.

Write to Path

<hdfs:write>

Write the current payload to the designated path, either creating a new file or appending to an existing one.

Adding the Connector to a Mule Flow

Create a new Anypoint Studio project.
Add any of the Mule Inbound endpoints, such as the HTTP listener, to begin with.
Drag the HDFS connector onto the canvas, then select it to open the Properties Editor console.

Configure the parameters of the connector according to the table below.

Field	Description	Default
Display Name	Enter a unique label for the connector in your application.	HDFS
Connector Configuration	Connect to a global element linked to this connector. Global elements encapsulate reusable data about the connection to the target resource or service. Select the global HDFS connector element that you just created.
Operation	Select the action this component must perform.

Field

Description

Default

Display Name

Enter a unique label for the connector in your application.

HDFS

Connector Configuration

Connect to a global element linked to this connector. Global elements encapsulate reusable data about the connection to the target resource or service. Select the global HDFS connector element that you just created.

Operation

Select the action this component must perform.

Save your configurations.

Use Cases

The following are two common use cases for the HDFS connector:

Creating a file in a Apache Hadoop instance using a Mule application.
Deleting a file from a Apache Hadoop instance using a Mule application.

Example: Use Case 1

Create a file in a Hadoop instance using a Mule application:

In Anypoint Studio, drag an HTTP connector into the canvas, and select it to open the properties editor console.
Add a new HTTP Listener Configuration global element:
1. In General Settings, click the Add button:
2. Configure the following HTTP parameters:
  
  Field Value
  
  Port
  
  8090
  
  Path
  
  filecreate
  
  Host
  
  localhost
  
  Display Name
  
  HTTP_Listener_Configuration
Reference the HTTP Listener Configuration global element:

Field	Value
Port	8090
Path	filecreate
Host	localhost
Display Name	HTTP_Listener_Configuration

Add a Logger scope to print the name of the file that needs to be created in the Mule Console. Configure the Logger according to the table below.

Field	Value
Display Name	Write to path log (or any other name you prefer)
Message	Create file: `#[message.inboundProperties['http.query.params'].path] with message: #[message.inboundProperties['http.query.params’].msg]
Level	INFO (Default)

Field

Value

Display Name

Write to path log (or any other name you prefer)

Message

Create file: `#[message.inboundProperties['http.query.params'].path] with message: #[message.inboundProperties['http.query.params’].msg]

Level

INFO (Default)

Add a Set Payload transformer to set the message input as payload, configuring it according to the table below.

Field Value

Display Name

Set the message input as payload (or any other name you prefer)

Value

`#[message.inboundProperties['http.query.params’].msg]
Drag the HDFS connector onto the canvas, and select it to open the properties editor console.
Click the plus sign next to the Connector Configuration field to add a new global connector configuration.
Configure the global element according to the table below.

Field Value

Names

HDFS

NameNode URI

<NameNode URI of Hadoop instance>

Username

<Your Hadoop FileSystem username>

Field	Value
Display Name	Set the message input as payload (or any other name you prefer)
Value	`#[message.inboundProperties['http.query.params’].msg]

Field	Value
Names	HDFS
NameNode URI	<NameNode URI of Hadoop instance>
Username	<Your Hadoop FileSystem username>

Back in the properties editor of the HDFS connector in your application, configure the remaining parameters according to the table below.

Field Value

Field	Value
Display Name	Write to Path (or any other name you prefer)
Connector Configuration	hdfs-conf (name of the global element you have created)
Operation	Write to path
Path	`#[message.inboundProperties['http.query.params'].path]`

Display Name

Write to Path (or any other name you prefer)

Connector Configuration

hdfs-conf (name of the global element you have created)

Operation

Write to path

Path

#[message.inboundProperties['http.query.params'].path]

Run the project as a Mule Application (right-click the project name and click Run As > Mule Application).
From a browser, navigate to http://localhost:8090/path=filecreate
Mule conducts the query, and creates the file in Hadoop with the specified message.

XML Editor

Add an hdfs:config global element to your project, and configure its attributes according to the table below.
```
<hdfs:config name="HDFS" doc:name="HDFS" username="<username>" nameNodeUri="<namenode" />
```
Attribute Value

name

HDFS

doc:name

HDFS

username

<Your Hadoop FileSystem username>

nameNodeUri

NameNode URI of your Hadoop instance

Attribute	Value
name	HDFS
doc:name	HDFS
username	<Your Hadoop FileSystem username>
nameNodeUri	NameNode URI of your Hadoop instance

Add a http:listner-config element as shown below.

<http:listener-config name="HTTP_Listener_Configuration" host="localhost" port="8090" basePath="filecreate" doc:name="HTTP Listener Configuration"/>
<http:connector name="HTTP_HTTPS" cookieSpec="netscape" validateConnections="true" sendBufferSize="0" receiveBufferSize="0" receiveBacklog="0" clientSoTimeout="10000" serverSoTimeout="10000" socketSoLinger="0" doc:name="HTTP-HTTPS"/>

Attribute	Value
name	HTTP_Listener_Configuration
host	localhost
port	8090
basePath	filecreate
doc:name	HTTP Listener Configuration

Attribute

Value

name

HTTP_Listener_Configuration

host

localhost

port

8090

basePath

filecreate

doc:name

HTTP Listener Configuration

Begin the flow with a http:listener.
```
<http:listener config-ref="HTTP_Listener_Configuration" path="/" doc:name="HTTP"/>
```
Attribute Value

config-ref

HTTP_Listener_Configuration

Path

/

doc:name

HTTP

Attribute	Value
config-ref	HTTP_Listener_Configuration
Path	/
doc:name	HTTP

Add a Logger transformer to your flow, configuring the attributes according to the table below.

<set-payload value="#[message.inboundProperties['http.query.params'].msg]" doc:name="Set the message input as payload"/>

Attribute	Value
message	Creating file: #[message.inboundProperties['http.query.params'].path] with message: #[message.inboundProperties['http.query.params'].msg]
level	INFO (Default)
doc:name	Write to Path Log

Attribute

Value

message

Creating file: #[message.inboundProperties['http.query.params'].path]

with message: #[message.inboundProperties['http.query.params'].msg]

level

INFO (Default)

doc:name

Write to Path Log

Add a Set Payload transformer to set the message input as payload.
```
<set-payload value="#[message.inboundProperties['http.query.params'].msg]" doc:name="Set the message input as payload"/>
```
Attribute Value

Value

#[message.inboundProperties['http.query.params'].msg]

doc:name

Set the message input as payload
Add a hdfs:write element to your flow, configuring the attributes according to the table below.

Attribute Value

config-ref

hdfs-conf

doc:name

Write to Path

path

#[message.inboundProperties['http.query.params'].path]
Run the project as a Mule Application (right-click project name and click Run As > Mule Application).
From a browser, navigate to http://localhost:8090/path=filecreate
Mule conducts the query, and creates the file in Hadoop with the specified message.

Attribute	Value
Value	`#[message.inboundProperties['http.query.params'].msg]`
doc:name	Set the message input as payload

Attribute	Value
config-ref	hdfs-conf
doc:name	Write to Path
path	`#[message.inboundProperties['http.query.params'].path]`

Example Code

<mule xmlns:tracking="http://www.mulesoft.org/schema/mule/ee/tracking" xmlns:mulexml="http://www.mulesoft.org/schema/mule/xml" xmlns:hdfs="http://www.mulesoft.org/schema/mule/hdfs"
      xmlns:http="http://www.mulesoft.org/schema/mule/http"
      xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
      xmlns:spring="http://www.springframework.org/schema/beans"
      xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://www.mulesoft.org/schema/mule/core" xsi:schemaLocation="http://www.mulesoft.org/schema/mule/http http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd
http://www.mulesoft.org/schema/mule/hdfs http://www.mulesoft.org/schema/mule/hdfs/current/mule-hdfs.xsd
http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core http://www.mulesoft.org/schema/mule/core/current/mule.xsd
http://www.mulesoft.org/schema/mule/xml http://www.mulesoft.org/schema/mule/xml/current/mule-xml.xsd
http://www.mulesoft.org/schema/mule/ee/tracking http://www.mulesoft.org/schema/mule/ee/tracking/current/mule-tracking-ee.xsd">
<hdfs:config name="hdfs-conf" nameNodeUri="<Name node URI>" username="<FileSystem Username>" doc:name="HDFS"/>
<http:listener-config name="HTTP_Listener_Configuration" host="localhost" port="8090" basePath="filecreate" doc:name="HTTP Listener Configuration"/>
<http:connector name="HTTP_HTTPS" cookieSpec="netscape" validateConnections="true" sendBufferSize="0" receiveBufferSize="0" receiveBacklog="0" clientSoTimeout="10000" serverSoTimeout="10000" socketSoLinger="0" doc:name="HTTP-HTTPS"/>
<flow name="Create_File_Flow" doc:name="Create_File_Flow">
<http:listener config-ref="HTTP_Listener_Configuration" path="/" doc:name="HTTP"/>
<logger message="Creating file: #[message.inboundProperties['http.query.params'].path] with message: #[message.inboundProperties['http.query.params'].msg]" level="INFO" doc:name="Write to Path Log"/>
<set-payload value="#[message.inboundProperties['http.query.params'].msg]" doc:name="Set the message input as payload"/>
<hdfs:write config-ref="hdfs-conf" path="#[message.inboundProperties['http.query.params'].path]" doc:name="Write to Path"/>
</flow>
</mule>

Example: Use Case 2

Delete a file from a Hadoop instance using a Mule application:

Drag an HTTP connector into the canvas, then select it to open the properties editor console.
Add a new HTTP Listener Configuration global element:
1. In General Settings, click the Add button:
2. Configure the following HTTP parameters:
  
  Field Value
  
  Port
  
  8090
  
  Path
  
  filedelete
  
  Host
  
  localhost
  
  Display Name
  
  HTTP_Listener_Configuration
Reference the HTTP Listener Configuration global element:
Add a Logger scope after the HTTP endpoint to print the name of the file that needs to be deleted in the Mule Console. Configure the Logger according to the table below.

Field Value

Display Name

Delete file log (or any other name you prefer)

Message

Deleting file: #[message.inboundProperties['http.query.params'].path]

Level

INFO (Default)
Drag an HDFS connector onto the canvas, and click it to open the properties editor console.
Click the plus sign next to the Connector Configuration field to add a new global connector configuration.
Configure the global element according to the table below.

Field Value

Names

HDFS

NameNode URI

<NameNode URI of Hadoop instance>

Username

<Your Hadoop FileSystem username>

Field	Value
Port	8090
Path	filedelete
Host	localhost
Display Name	HTTP_Listener_Configuration

Field	Value
Display Name	Delete file log (or any other name you prefer)
Message	Deleting file: `#[message.inboundProperties['http.query.params'].path]`
Level	INFO (Default)

Field	Value
Names	HDFS
NameNode URI	<NameNode URI of Hadoop instance>
Username	<Your Hadoop FileSystem username>

Back in the properties editor of the HDFS connector in your application, configure the remaining parameters according to the table below.

Field Value

Field	Value
Display Name	Delete file (or any other name you prefer)
Connector Configuration	hdfs-conf (name of the global element you have created)
Operation	Delete file
Path	`#[ message.inboundProperties['http.query.params'].path]`

Display Name

Delete file (or any other name you prefer)

Connector Configuration

hdfs-conf (name of the global element you have created)

Operation

Delete file

Path

#[ message.inboundProperties['http.query.params'].path]

Run the project as a Mule Application (right-click project name, and click Run As > Mule Application).
From a browser, navigate to ` http://localhost:8090/path= filedelete`
Mule conducts the query, and deletes the file from Hadoop.

XML Editor

Add a hdfs:config global element to your project, then configure its attributes according to the table below.
```
<hdfs:config name="HDFS" doc:name="HDFS" username="<username>" nameNodeUri="<namenode" />
```
Attribute Value

name

HDFS

doc:name

HDFS

username

<Your Hadoop FileSystem username>

nameNodeUri

NameNode URI of your Hadoop instance

Attribute	Value
name	HDFS
doc:name	HDFS
username	<Your Hadoop FileSystem username>
nameNodeUri	NameNode URI of your Hadoop instance

Add a http:listener-config element as follows:

<http:listener-config name="HTTP_Listener_Configuration" host="localhost" port="8090" basePath="filedelete" doc:name="HTTP Listener Configuration"/>
<http:connector name="HTTP_HTTPS" cookieSpec="netscape" validateConnections="true" sendBufferSize="0" receiveBufferSize="0" receiveBacklog="0" clientSoTimeout="10000" serverSoTimeout="10000" socketSoLinger="0" doc:name="HTTP-HTTPS"/>

Attribute	Value
name	HTTP_Listener_Configuration
host	0.0.0.0
port	8090
basePath	filedelete

Attribute

Value

name

HTTP_Listener_Configuration

host

0.0.0.0

port

8090

basePath

filedelete

Begin the flow with a http:listener.

<http:listener config-ref="HTTP_Listener_Configuration" path="/" doc:name="HTTP"/>

Add a Logger transformer to your flow, configuring the attributes according to the table below.
```
<logger message="Deleting file:
#[message.inboundProperties['http.query.params'].path]" level="INFO"
doc:name="Delete file log"/>
```
Attribute Value

message

Deleting file: #` [message.inboundProperties['http.query.params'].path]`

level

INFO (Default)

doc:name

Delete file log
Add an hdfs:delete-file element to your flow, configuring the attributes according to the table below.
```
<hdfs:delete-file config-ref="hdfs-conf" doc:name="Delete
file" path="#[message.inboundProperties['http.query.params'].path]"/>
```
Attribute Value

config-ref

hdfs-conf

doc:name

Delete file

path

# [message.inboundProperties['http.query.params'].path]
Run the project as a Mule Application (right-click project name, then select Run As > Mule Application).
From a browser, navigate to ` http://localhost:8090/path= ` filedelete
Mule conducts the query, and deletes the file from Hadoop.

Attribute	Value
message	Deleting file: #` [message.inboundProperties['http.query.params'].path]`
level	INFO (Default)
doc:name	Delete file log

Attribute	Value
config-ref	hdfs-conf
doc:name	Delete file
path	`# [message.inboundProperties['http.query.params'].path]`

Example Code

<mule xmlns:tracking="http://www.mulesoft.org/schema/mule/ee/tracking"
xmlns:mulexml="http://www.mulesoft.org/schema/mule/xml"
xmlns:hdfs="http://www.mulesoft.org/schema/mule/hdfs"
xmlns:http="http://www.mulesoft.org/schema/mule/http"
xmlns:doc="http://www.mulesoft.org/schema/mule/documentation"
xmlns:spring="http://www.springframework.org/schema/beans"
xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
xmlns="http://www.mulesoft.org/schema/mule/core"
xsi:schemaLocation="http://www.mulesoft.org/schema/mule/http
http://www.mulesoft.org/schema/mule/http/current/mule-http.xsd
http://www.mulesoft.org/schema/mule/hdfs
http://www.mulesoft.org/schema/mule/hdfs/current/mule-hdfs.xsd
http://www.springframework.org/schema/beans
http://www.springframework.org/schema/beans/spring-beans-current.xsd
http://www.mulesoft.org/schema/mule/core
http://www.mulesoft.org/schema/mule/core/current/mule.xsd
http://www.mulesoft.org/schema/mule/xml
http://www.mulesoft.org/schema/mule/xml/current/mule-xml.xsd
http://www.mulesoft.org/schema/mule/ee/tracking
http://www.mulesoft.org/schema/mule/ee/tracking/current/mule-tracking-ee.xsd
">
<hdfs:config name="hdfs-conf" nameNodeUri="<Name node URI>" username="
<FileSystem Username>" doc:name="HDFS"/>
<http:listener-config name="HTTP_Listener_Configuration" host="localhost" port="8090" basePath="filecreate" doc:name="HTTP Listener Configuration"/>
<http:connector name="HTTP_HTTPS" cookieSpec="netscape" validateConnections="true" sendBufferSize="0" receiveBufferSize="0" receiveBacklog="0" clientSoTimeout="10000" serverSoTimeout="10000" socketSoLinger="0" doc:name="HTTP-HTTPS"/>
<flow name="Delete_File_Flow" doc:name="Delete_File_Flow">
<http:listener config-ref="HTTP_Listener_Configuration" path="/" doc:name="HTTP"/>
<logger message="Deleting file:
#[message.inboundProperties['http.query.params'].path]" level="INFO"
doc:name="Delete file
log"/>
<hdfs:delete-file config-ref="hdfs-conf" doc:name="Delete file"
path="#[message.inboundProperties['http.query.params'].path]"/>
</flow>
</mule>

Gartner Magic Quadrant Leader

Digital platforms in the API economy

Anypoint Platform Fundamentals

CIOs Unfiltered

Gartner Magic Quadrant Leader

Digital platforms in the API economy

Anypoint Platform Fundamentals

CIOs Unfiltered

HDFS Connector

Prerequisites

Compatibility

Installing and Configuring

Installing HDFS Connector in Anypoint Studio

Configuring a Global Element

Configuring with the XML Editor

Using the Connector

Adding the Connector to a Mule Flow

Use Cases

Example: Use Case 1

XML Editor

Example Code

Example: Use Case 2

XML Editor

Example Code

See Also

Gartner Magic Quadrant Leader

Digital platforms in the API economy

Anypoint Platform Fundamentals

CIOs Unfiltered

MuleSoft CONNECT

Gartner Magic Quadrant Leader

Digital platforms in the API economy

Anypoint Platform Fundamentals

CIOs Unfiltered

MuleSoft CONNECT

HDFS Connector

Prerequisites

Compatibility

Installing and Configuring

Installing HDFS Connector in Anypoint Studio

Configuring a Global Element

Configuring with the XML Editor

Using the Connector

Adding the Connector to a Mule Flow

Use Cases

Example: Use Case 1

XML Editor

Example Code

Example: Use Case 2

XML Editor

Example Code

See Also