Runtime Values
Runtime values are values that you define outside of the pipeline and use for stage and pipeline properties. You can change the values for each pipeline run without having to edit the pipeline.
You can use runtime values for any pipeline property that allows the use of the expression language. You can, for example, use runtime values to represent batch sizes, timeouts, directories, and URI. You cannot use runtime values to represent fields.
You can use the following methods of passing runtime values to pipelines:
- Runtime parameters
- Use runtime parameters when you want to specify the values for pipeline properties when you start the pipeline.
- Runtime properties
- Use runtime properties when you want to define values for multiple pipeline properties in a file.
- Runtime resources
- Use runtime resources when you want to secure sensitive information in files with restricted permissions.
Using Runtime Parameters
Runtime parameters are parameters that you define in a pipeline and then call from within that same pipeline. When you start the pipeline, you specify the parameter values to use. Use runtime parameters to specify values for pipeline properties when you start the pipeline.
Use runtime parameters to define values for stage and pipeline properties. For example, you can define an error directory parameter that points to different directories on a test machine and a production machine. Or you can define a connection parameter that points to different database connections for an origin in the test and production environments.
When you define a runtime parameter, you enter the default value to use. When you start the pipeline, you can specify another value to override the default. When the pipeline runs, the value replaces the name of the runtime parameter.
- Define runtime parameters.
- Use an expression in the pipeline to call a runtime parameter.
- Start the pipeline with parameter values.
When you monitor a pipeline started with parameters, you can view the parameter values that the pipeline is currently using.
Step 1. Define Runtime Parameters
Define runtime parameters when you configure the pipeline.
Step 2. Call the Runtime Parameter
Use an expression to call a runtime parameter. You can use runtime parameters to represent any stage or pipeline property that allows the use of the expression language.
${<parameter name>}
${JDBCConnectionString}
${record:value(JDBCConnectionString)}
${RootDir}/logfiles
You can also call a runtime parameter in the code developed for a scripting processor. The method you use to call the runtime parameter depends on the following scripting processor types:
- JavaScript Evaluator or Jython Evaluator processor
- Use the following syntax in any of the processor scripts:
${<parameter name>}
. For example, the following line of JavaScript code assigns the value of the NewFieldValue parameter to a map field:records[i].value.V= ${NewFieldValue}
- Groovy Evaluator processor
- Use the
sdcFunctions.pipelineParameters()
method in any of the processor scripts to return a map of all runtime parameters defined for the pipeline. For example, the following line of Groovy code assigns the value of the CompanyParam parameter to the Company Name field:record.value['Company Name'] = sdcFunctions.pipelineParameters()['CompanyParam']
Step 3. Start the Pipeline with Parameters
Viewing Runtime Parameters
When you monitor a pipeline started with parameters, you can view the parameter values that the pipeline is currently using.
Before you can view the current runtime parameter values, verify that the monitoring settings include the Runtime Parameters chart.
Using Runtime Properties
Runtime properties are properties that you define in a file local to the Data Collector and call from within a pipeline. With runtime properties, you can define different sets of values for different Data Collectors.
Use runtime properties to define values for stage and pipeline properties. For example, you can define an error directory runtime property that points to different directories on a test machine and a production machine. Similarly, you might create test and production runtime properties for the origin and destination stages.
When defining a runtime property, you can use a static value or an environment variable.
When calling the runtime property, you can use it as part of a larger property definition. For example, you can set a runtime property to the HOME environment variable, which would differ on different machines, and then use the runtime property as a base directory for a longer directory.
- Define runtime properties.
- Use an expression in the pipeline to call a runtime property.
Step 1. Define Runtime Properties
You can define
runtime properties in the Data Collector
configuration file, sdc.properties
, or in a separate runtime properties file.
If you define the properties in a separate runtime properties file, use the required procedure for your installation type.
- Data Collector configuration file
- Use the following steps to define runtime properties in the Data Collector
configuration file:
- In the
$SDC_CONF/sdc.properties
file, configure the runtime.conf.location property as follows:runtime.conf.location=embedded
- To define the runtime properties in the
$SDC_CONF/sdc.properties
file, use either of the following formats:- To use a value for a runtime property, use the following format:
For example, the following runtime property defines a Hadoop FS directory template:runtime.conf_<property name>=<value>
runtime.conf_HDFSDirTemplate=/HDFS/DirectoryTemplate
- To use an environment variable for a runtime property, use the following
format:
runtime.conf_<property name>=${env("<environment_variable>")}
For example, the following runtime property defines a base directory, setting it to the HOME environment variable:runtime.conf_BaseDir=${env("HOME")}
- To use a value for a runtime property, use the following format:
- Restart Data Collector to enable the changes.
- In the
- Separate runtime properties file for RPM and tarball
- Use the following steps to define runtime properties in a separate runtime properties
file for an RPM or tarball installation:
- Create a text file and save it in a directory relative to the
$SDC_CONF
directory. - To define runtime properties in a separate text file, use either of the following
formats:
-
To use a value for a runtime property, use the following format:
For example, the following runtime property defines a Hadoop FS directory template:<property name>=<value>
HDFSDirTemplate=/HDFS/DirectoryTemplate
- To use an environment variable for a runtime property, use the following
format:
<property name>=${env("<environment_variable>")}
For example, the following runtime property defines a base directory, setting it to the HOME environment variable:BaseDir=${env("HOME")}
-
- In the Data Collector
configuration file,
$SDC_CONF/sdc.properties
, configure the runtime.conf.location property to point to the relative location of the separate runtime properties file.For example, the following separate runtime properties file is located in a
runtime
directory that is relative to the$SDC_CONF
directory:runtime.conf.location=runtime/test-runtime.properties
- Restart Data Collector to enable the changes.
- Create a text file and save it in a directory relative to the
- Separate runtime properties file for Cloudera Manager
- Use the following steps to define runtime properties in a separate runtime properties
file for a Cloudera Manager installation:
- Create a text file and define the runtime properties in the text file using either
of the following formats:
-
To use a value for a runtime property, use the following format:
For example, the following runtime property defines a Hadoop FS directory template:<property name>=<value>
HDFSDirTemplate=/HDFS/DirectoryTemplate
- To use an environment variable for a runtime property, use the following
format:
<property name>=${env("<environment_variable>")}
For example, the following runtime property defines a base directory, setting it to the HOME environment variable:BaseDir=${env("HOME")}
-
- Save the text file in the same directory on every node that runs Data Collector.
- In Cloudera Manager, select the StreamSets service and click Configuration.
- On the Configuration page, in the Data Collector
Advanced Configuration Snippet (Safety Valve) for sdc-env.sh field,
add the following line to define the runtime properties file
directory:
ln -sf /<directory>/runtime.properties "${CONF_DIR}/runtime.properties"
For example:ln -sf /opt/sdc-runtime/runtime.properties "${CONF_DIR}/runtime.properties"
- In the Data Collector Advanced Configuration Snippet (Safety Valve) for
sdc.properties field, configure the
runtime.conf.location property to point to the separate
runtime properties file by adding the following
line:
runtime.conf.location=runtime.properties
- Restart Data Collector to enable the changes.
- Create a text file and define the runtime properties in the text file using either
of the following formats:
For more information, see Configuring Data Collector.
Step 2. Call the Runtime Property
Use the runtime:conf
function to call a runtime property. You can use
runtime properties to represent any stage or pipeline property that allows the use of the
expression language.
${runtime:conf(<property name>)}
<property name>
and not runtime.conf_<property name>
.${runtime:conf('HDFSDirTemplate')}
${runtime:conf('RootDir')}/logfiles
Using Runtime Resources
Similar to runtime properties, runtime resources are values that you define in a file local to the Data Collector and call from within a pipeline. But with runtime resources, you can restrict the permissions for the files to secure sensitive information. Use runtime resources to load sensitive information from files at runtime.
Use runtime resources to define sensitive values for stage and pipeline properties. You can, for example, use runtime resources to represent user names and passwords, or OAuth authentication information.
- Define each runtime resource.
- Use an expression in the pipeline to call a runtime resource.
Step 1. Define Runtime Resources
- For each resource, create a text file and save it in the
$SDC_RESOURCES
directory.A file must contain one piece of information to be used when the resource is called.
- Optionally, restrict the permissions for the file.
Generally, anyone can read a file. To restrict permissions, configure the file so only the owner has read or write permissions for the file - in octals, that's 600 or 400. And the owner must be the system user that runs the Data Collector.
When you use the resource in the pipeline, you specify whether the file is restricted.
Step 2. Call the Runtime Resource
Use the runtime:loadResource
or
runtime:loadResourceRaw
function to call a runtime resource. You can
use runtime resources to represent sensitive information in any stage or pipeline property
that allows the use of the expression language.
runtime:loadResource
function which
trims any leading or trailing whitespace characters from the file. However, if
needed, you can also use the runtime:loadResourceRaw
function which
includes any leading or trailing whitespace characters in the file.To call a runtime resource, use the following syntax:
${runtime:loadResource(<file name>, <restricted: true | false>)}
${runtime:loadResource("JDBCpassword.txt", true)}