The [AWS SDK for JavaScript V3 API Reference Guide](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/) describes in detail all the API operations for the AWS SDK for JavaScript version 3 (V3).
# AWS Elemental MediaConvert examples
AWS Elemental MediaConvert is a file-based video transcoding service with broadcast-grade features. You can use it to create assets for broadcast and for video-on-demand (VOD) delivery across the internet. For more information, see the [https://docs.aws.amazon.com/mediaconvert/latest/ug/](https://docs.aws.amazon.com/mediaconvert/latest/ug/).
The JavaScript API for MediaConvert is exposed through the `MediaConvert` client class. For more information, see [Class: MediaConvert](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/) in the API Reference.
**Topics**
+ [
# Creating and managing transcoding jobs in MediaConvert
](emc-examples-jobs.md)
+ [
# Using job templates in MediaConvert
](emc-examples-templates.md)
# Creating and managing transcoding jobs in MediaConvert
![\[JavaScript code example that applies to Node.js execution\]](http://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/images/nodeicon.png)
**This Node.js code example shows:**
+ How to create transcoding jobs in MediaConvert.
+ How to cancel a transcoding job.
+ How to retrieve the JSON for a completed transcoding job.
+ How to retrieve a JSON array for up to 20 of the most recently created jobs.
## The scenario
In this example, you use a Node.js module to call MediaConvert to create and manage transcoding jobs. The code uses the SDK for JavaScript to do this by using these methods of the MediaConvert client class:
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CancelJobCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CancelJobCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/GetJobCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/GetJobCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/ListJobsCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/ListJobsCommand/)
## Prerequisite tasks
To set up and run this example, first complete these tasks:
+ Set up the project environment to run these Node TypeScript examples, and install the required AWS SDK for JavaScript and third-party modules. Follow the instructions on[ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/master/javascriptv3/example_code/mediaconvert/README.md).
+ Create a shared configurations file with your user credentials. For more information about providing a shared credentials file, see [Shared config and credentials files](https://docs.aws.amazon.com/sdkref/latest/guide/file-format.html) in the *AWS SDKs and Tools Reference Guide*.
+ Create and configure Amazon S3 buckets that provide storage for job input files and output files. For details, see [Create storage for files](https://docs.aws.amazon.com/mediaconvert/latest/ug/set-up-file-locations.html) in the *AWS Elemental MediaConvert User Guide*.
+ Upload the input video to the Amazon S3 bucket you provisioned for input storage. For a list of supported input video codecs and containers, see [Supported input codecs and containers](https://docs.aws.amazon.com/mediaconvert/latest/ug/reference-codecs-containers-input.html) in the *AWS Elemental MediaConvert User Guide*.
+ Create an IAM role that gives MediaConvert access to your input files and the Amazon S3 buckets where your output files are stored. For details, see [Set up IAM permissions](https://docs.aws.amazon.com/mediaconvert/latest/ug/iam-role.html) in the *AWS Elemental MediaConvert User Guide*.
**Important**
This example uses ECMAScript6 (ES6). This requires Node.js version 13.x or higher. To download and install the latest version of Node.js, see [Node.js downloads.](https://nodejs.org/en/download).
However, if you prefer to use CommonJS syntax, please refer to [JavaScript ES6/CommonJS syntax](sdk-example-javascript-syntax.md).
## Defining a simple transcoding job
Create a Node.js module with the file name `emc_createjob.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages. Create the JSON that defines the transcode job parameters.
These parameters are quite detailed. You can use the [AWS Elemental MediaConvert console](https://console.aws.amazon.com/mediaconvert/) to generate the JSON job parameters by choosing your job settings in the console, and then choosing **Show job JSON** at the bottom of the **Job** section. This example shows the JSON for a simple job.
**Note**
Replace *JOB\$1QUEUE\$1ARN* with the MediaConvert job queue, *IAM\$1ROLE\$1ARN* with the Amazon Resource Name (ARN) of the IAM role, *OUTPUT\$1BUCKET\$1NAME* with the destination bucket name - for example, "s3://OUTPUT\$1BUCKET\$1NAME/", and *INPUT\$1BUCKET\$1AND\$1FILENAME* with the input bucket and filename - for example, "s3://INPUT\$1BUCKET/FILE\$1NAME".
```
const params = {
Queue: "JOB_QUEUE_ARN", //JOB_QUEUE_ARN
UserMetadata: {
Customer: "Amazon",
},
Role: "IAM_ROLE_ARN", //IAM_ROLE_ARN
Settings: {
OutputGroups: [
{
Name: "File Group",
OutputGroupSettings: {
Type: "FILE_GROUP_SETTINGS",
FileGroupSettings: {
Destination: "OUTPUT_BUCKET_NAME", //OUTPUT_BUCKET_NAME, e.g., "s3://BUCKET_NAME/"
},
},
Outputs: [
{
VideoDescription: {
ScalingBehavior: "DEFAULT",
TimecodeInsertion: "DISABLED",
AntiAlias: "ENABLED",
Sharpness: 50,
CodecSettings: {
Codec: "H_264",
H264Settings: {
InterlaceMode: "PROGRESSIVE",
NumberReferenceFrames: 3,
Syntax: "DEFAULT",
Softness: 0,
GopClosedCadence: 1,
GopSize: 90,
Slices: 1,
GopBReference: "DISABLED",
SlowPal: "DISABLED",
SpatialAdaptiveQuantization: "ENABLED",
TemporalAdaptiveQuantization: "ENABLED",
FlickerAdaptiveQuantization: "DISABLED",
EntropyEncoding: "CABAC",
Bitrate: 5000000,
FramerateControl: "SPECIFIED",
RateControlMode: "CBR",
CodecProfile: "MAIN",
Telecine: "NONE",
MinIInterval: 0,
AdaptiveQuantization: "HIGH",
CodecLevel: "AUTO",
FieldEncoding: "PAFF",
SceneChangeDetect: "ENABLED",
QualityTuningLevel: "SINGLE_PASS",
FramerateConversionAlgorithm: "DUPLICATE_DROP",
UnregisteredSeiTimecode: "DISABLED",
GopSizeUnits: "FRAMES",
ParControl: "SPECIFIED",
NumberBFramesBetweenReferenceFrames: 2,
RepeatPps: "DISABLED",
FramerateNumerator: 30,
FramerateDenominator: 1,
ParNumerator: 1,
ParDenominator: 1,
},
},
AfdSignaling: "NONE",
DropFrameTimecode: "ENABLED",
RespondToAfd: "NONE",
ColorMetadata: "INSERT",
},
AudioDescriptions: [
{
AudioTypeControl: "FOLLOW_INPUT",
CodecSettings: {
Codec: "AAC",
AacSettings: {
AudioDescriptionBroadcasterMix: "NORMAL",
RateControlMode: "CBR",
CodecProfile: "LC",
CodingMode: "CODING_MODE_2_0",
RawFormat: "NONE",
SampleRate: 48000,
Specification: "MPEG4",
Bitrate: 64000,
},
},
LanguageCodeControl: "FOLLOW_INPUT",
AudioSourceName: "Audio Selector 1",
},
],
ContainerSettings: {
Container: "MP4",
Mp4Settings: {
CslgAtom: "INCLUDE",
FreeSpaceBox: "EXCLUDE",
MoovPlacement: "PROGRESSIVE_DOWNLOAD",
},
},
NameModifier: "_1",
},
],
},
],
AdAvailOffset: 0,
Inputs: [
{
AudioSelectors: {
"Audio Selector 1": {
Offset: 0,
DefaultSelection: "NOT_DEFAULT",
ProgramSelection: 1,
SelectorType: "TRACK",
Tracks: [1],
},
},
VideoSelector: {
ColorSpace: "FOLLOW",
},
FilterEnable: "AUTO",
PsiControl: "USE_PSI",
FilterStrength: 0,
DeblockFilter: "DISABLED",
DenoiseFilter: "DISABLED",
TimecodeSource: "EMBEDDED",
FileInput: "INPUT_BUCKET_AND_FILENAME", //INPUT_BUCKET_AND_FILENAME, e.g., "s3://BUCKET_NAME/FILE_NAME"
},
],
TimecodeConfig: {
Source: "EMBEDDED",
},
},
};
```
## Creating a transcoding job
After creating the job parameters JSON, call the asynchronous `run` method to invoke a `MediaConvert` client service object, passing the parameters. The ID of the job created is returned in the response `data`.
```
const run = async () => {
try {
const data = await emcClient.send(new CreateJobCommand(params));
console.log("Job created!", data);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_createjob.js
```
This full example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_createjob.js).
## Canceling a transcoding job
Create a Node.js module with the file name `emc_canceljob.js`. Be sure to configure the SDK as previously shown, including downloading the required clients and packages. Create the JSON that includes the ID of the job to cancel. Then call the `CancelJobCommand` method by creating a promise for invoking an `MediaConvert` client service object, passing the parameters. Handle the response in the promise callback.
**Note**
Replace *JOB\$1ID* with the ID of the job to cancel.
```
// Import required AWS-SDK clients and commands for Node.js
import { CancelJobCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
// Set the parameters
const params = { Id: "JOB_ID" }; //JOB_ID
const run = async () => {
try {
const data = await emcClient.send(new CancelJobCommand(params));
console.log(`Job ${params.Id} is canceled`);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node ec2_canceljob.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_canceljob.js).
## Listing recent transcoding jobs
Create a Node.js module with the file name `emc_listjobs.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages.
Create the parameters JSON, including values to specify whether to sort the list in `ASCENDING`, or `DESCENDING` order, the Amazon Resource Name (ARN) of the job queue to check, and the status of jobs to include. Then call the `ListJobsCommand` method by creating a promise for invoking an `MediaConvert` client service object, passing the parameters.
**Note**
Replace *QUEUE\$1ARN* with the Amazon Resource Name (ARN) of the job queue to check, and *STATUS* with the status of the queue.
```
// Import required AWS-SDK clients and commands for Node.js
import { ListJobsCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
// Set the parameters
const params = {
MaxResults: 10,
Order: "ASCENDING",
Queue: "QUEUE_ARN",
Status: "SUBMITTED", // e.g., "SUBMITTED"
};
const run = async () => {
try {
const data = await emcClient.send(new ListJobsCommand(params));
console.log("Success. Jobs: ", data.Jobs);
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_listjobs.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_listjobs.js).
# Using job templates in MediaConvert
![\[JavaScript code example that applies to Node.js execution\]](http://docs.aws.amazon.com/sdk-for-javascript/v3/developer-guide/images/nodeicon.png)
**This Node.js code example shows:**
+ How to create AWS Elemental MediaConvert job templates.
+ How to use a job template to create a transcoding job.
+ How to list all your job templates.
+ How to delete job templates.
## The scenario
The JSON required to create a transcoding job in MediaConvert is detailed, containing a large number of settings. You can greatly simplify job creation by saving known-good settings in a job template that you can use to create subsequent jobs. In this example, you use a Node.js module to call MediaConvert to create, use, and manage job templates. The code uses the SDK for JavaScript to do this by using these methods of the MediaConvert client class:
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobTemplateCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobTemplateCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/CreateJobCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/DeleteJobTemplateCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/DeleteJobTemplateCommand/)
+ [https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/ListJobTemplatesCommand/](https://docs.aws.amazon.com/AWSJavaScriptSDK/v3/latest/Package/-aws-sdk-client-mediaconvert/Class/ListJobTemplatesCommand/)
## Prerequisite tasks
To set up and run this example, first complete these tasks:
+ Set up the project environment to run these Node TypeScript examples, and install the required AWS SDK for JavaScript and third-party modules. Follow the instructions on[ GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/tree/master/javascriptv3/example_code/mediaconvert/README.md).
+ Create a shared configurations file with your user credentials. For more information about providing a shared credentials file, see [Shared config and credentials files](https://docs.aws.amazon.com/sdkref/latest/guide/file-format.html) in the *AWS SDKs and Tools Reference Guide*.
+ Create an IAM role that gives MediaConvert access to your input files and the Amazon S3 buckets where your output files are stored. For details, see [Set up IAM permissions](https://docs.aws.amazon.com/mediaconvert/latest/ug/iam-role.html) in the *AWS Elemental MediaConvert User Guide*.
**Important**
These examples use ECMAScript6 (ES6). This requires Node.js version 13.x or higher. To download and install the latest version of Node.js, see [Node.js downloads.](https://nodejs.org/en/download).
However, if you prefer to use CommonJS syntax, please refer to [JavaScript ES6/CommonJS syntax](sdk-example-javascript-syntax.md).
## Creating a job template
Create a Node.js module with the file name `emc_create_jobtemplate.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages.
Specify the parameters JSON for template creation. You can use most of the JSON parameters from a previous successful job to specify the `Settings` values in the template. This example uses the job settings from [Creating and managing transcoding jobs in MediaConvert](emc-examples-jobs.md).
Call the `CreateJobTemplateCommand` method by creating a promise for invoking an `MediaConvert` client service object, passing the parameters.
**Note**
Replace *JOB\$1QUEUE\$1ARN* with the Amazon Resource Name (ARN) of the job queue to check, and *BUCKET\$1NAME* with the name of the destination Amazon S3 bucket - for example, "s3://BUCKET\$1NAME/".
```
// Import required AWS-SDK clients and commands for Node.js
import { CreateJobTemplateCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
const params = {
Category: "YouTube Jobs",
Description: "Final production transcode",
Name: "DemoTemplate",
Queue: "JOB_QUEUE_ARN", //JOB_QUEUE_ARN
Settings: {
OutputGroups: [
{
Name: "File Group",
OutputGroupSettings: {
Type: "FILE_GROUP_SETTINGS",
FileGroupSettings: {
Destination: "BUCKET_NAME", // BUCKET_NAME e.g., "s3://BUCKET_NAME/"
},
},
Outputs: [
{
VideoDescription: {
ScalingBehavior: "DEFAULT",
TimecodeInsertion: "DISABLED",
AntiAlias: "ENABLED",
Sharpness: 50,
CodecSettings: {
Codec: "H_264",
H264Settings: {
InterlaceMode: "PROGRESSIVE",
NumberReferenceFrames: 3,
Syntax: "DEFAULT",
Softness: 0,
GopClosedCadence: 1,
GopSize: 90,
Slices: 1,
GopBReference: "DISABLED",
SlowPal: "DISABLED",
SpatialAdaptiveQuantization: "ENABLED",
TemporalAdaptiveQuantization: "ENABLED",
FlickerAdaptiveQuantization: "DISABLED",
EntropyEncoding: "CABAC",
Bitrate: 5000000,
FramerateControl: "SPECIFIED",
RateControlMode: "CBR",
CodecProfile: "MAIN",
Telecine: "NONE",
MinIInterval: 0,
AdaptiveQuantization: "HIGH",
CodecLevel: "AUTO",
FieldEncoding: "PAFF",
SceneChangeDetect: "ENABLED",
QualityTuningLevel: "SINGLE_PASS",
FramerateConversionAlgorithm: "DUPLICATE_DROP",
UnregisteredSeiTimecode: "DISABLED",
GopSizeUnits: "FRAMES",
ParControl: "SPECIFIED",
NumberBFramesBetweenReferenceFrames: 2,
RepeatPps: "DISABLED",
FramerateNumerator: 30,
FramerateDenominator: 1,
ParNumerator: 1,
ParDenominator: 1,
},
},
AfdSignaling: "NONE",
DropFrameTimecode: "ENABLED",
RespondToAfd: "NONE",
ColorMetadata: "INSERT",
},
AudioDescriptions: [
{
AudioTypeControl: "FOLLOW_INPUT",
CodecSettings: {
Codec: "AAC",
AacSettings: {
AudioDescriptionBroadcasterMix: "NORMAL",
RateControlMode: "CBR",
CodecProfile: "LC",
CodingMode: "CODING_MODE_2_0",
RawFormat: "NONE",
SampleRate: 48000,
Specification: "MPEG4",
Bitrate: 64000,
},
},
LanguageCodeControl: "FOLLOW_INPUT",
AudioSourceName: "Audio Selector 1",
},
],
ContainerSettings: {
Container: "MP4",
Mp4Settings: {
CslgAtom: "INCLUDE",
FreeSpaceBox: "EXCLUDE",
MoovPlacement: "PROGRESSIVE_DOWNLOAD",
},
},
NameModifier: "_1",
},
],
},
],
AdAvailOffset: 0,
Inputs: [
{
AudioSelectors: {
"Audio Selector 1": {
Offset: 0,
DefaultSelection: "NOT_DEFAULT",
ProgramSelection: 1,
SelectorType: "TRACK",
Tracks: [1],
},
},
VideoSelector: {
ColorSpace: "FOLLOW",
},
FilterEnable: "AUTO",
PsiControl: "USE_PSI",
FilterStrength: 0,
DeblockFilter: "DISABLED",
DenoiseFilter: "DISABLED",
TimecodeSource: "EMBEDDED",
},
],
TimecodeConfig: {
Source: "EMBEDDED",
},
},
};
const run = async () => {
try {
// Create a promise on a MediaConvert object
const data = await emcClient.send(new CreateJobTemplateCommand(params));
console.log("Success!", data);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_create_jobtemplate.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_create_jobtemplate.js).
## Creating a transcoding job from a job template
Create a Node.js module with the file name `emc_template_createjob.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages.
Create the job creation parameters JSON, including the name of the job template to use, and the `Settings` to use that are specific to the job you're creating. Then call the `CreateJobsCommand` method by creating a promise for invoking an `MediaConvert` client service object, passing the parameters.
**Note**
Replace *JOB\$1QUEUE\$1ARN* with the Amazon Resource Name (ARN) of the job queue to check, *KEY\$1PAIR\$1NAME* with, *TEMPLATE\$1NAME* with, *ROLE\$1ARN* with the Amazon Resource Name (ARN) of the role, and * INPUT\$1BUCKET\$1AND\$1FILENAME* with the input bucket and filename - for example, "s3://BUCKET\$1NAME/FILE\$1NAME".
```
// Import required AWS-SDK clients and commands for Node.js
import { CreateJobCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
const params = {
Queue: "QUEUE_ARN", //QUEUE_ARN
JobTemplate: "TEMPLATE_NAME", //TEMPLATE_NAME
Role: "ROLE_ARN", //ROLE_ARN
Settings: {
Inputs: [
{
AudioSelectors: {
"Audio Selector 1": {
Offset: 0,
DefaultSelection: "NOT_DEFAULT",
ProgramSelection: 1,
SelectorType: "TRACK",
Tracks: [1],
},
},
VideoSelector: {
ColorSpace: "FOLLOW",
},
FilterEnable: "AUTO",
PsiControl: "USE_PSI",
FilterStrength: 0,
DeblockFilter: "DISABLED",
DenoiseFilter: "DISABLED",
TimecodeSource: "EMBEDDED",
FileInput: "INPUT_BUCKET_AND_FILENAME", //INPUT_BUCKET_AND_FILENAME, e.g., "s3://BUCKET_NAME/FILE_NAME"
},
],
},
};
const run = async () => {
try {
const data = await emcClient.send(new CreateJobCommand(params));
console.log("Success! ", data);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_template_createjob.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_template_createjob.js).
## Listing your job templates
Create a Node.js module with the file name `emc_listtemplates.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages.
Create an object to pass the request parameters for the `listTemplates` method of the `MediaConvert` client class. Include values to determine what templates to list (`NAME`, `CREATION DATE`, `SYSTEM`), how many to list, and their sort order. To call the `ListTemplatesCommand` method, create a promise for invoking an MediaConvert client service object, passing the parameters.
```
// Import required AWS-SDK clients and commands for Node.js
import { ListJobTemplatesCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
const params = {
ListBy: "NAME",
MaxResults: 10,
Order: "ASCENDING",
};
const run = async () => {
try {
const data = await emcClient.send(new ListJobTemplatesCommand(params));
console.log("Success ", data.JobTemplates);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_listtemplates.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_template_createjob.js).
## Deleting a job template
Create a Node.js module with the file name `emc_deletetemplate.js`. Be sure to configure the SDK as previously shown, including installing the required clients and packages.
Create an object to pass the name of the job template you want to delete as parameters for the `DeleteJobTemplateCommand` method of the `MediaConvert` client class. To call the `DeleteJobTemplateCommand` method, create a promise for invoking an MediaConvert client service object, passing the parameters.
```
// Import required AWS-SDK clients and commands for Node.js
import { DeleteJobTemplateCommand } from "@aws-sdk/client-mediaconvert";
import { emcClient } from "./libs/emcClient.js";
// Set the parameters
const params = { Name: "test" }; //TEMPLATE_NAME
const run = async () => {
try {
const data = await emcClient.send(new DeleteJobTemplateCommand(params));
console.log(
"Success, template deleted! Request ID:",
data.$metadata.requestId,
);
return data;
} catch (err) {
console.log("Error", err);
}
};
run();
```
To run the example, enter the following at the command prompt.
```
node emc_deletetemplate.js
```
This example code can be found [here on GitHub](https://github.com/awsdocs/aws-doc-sdk-examples/blob/master/javascriptv3/example_code/mediaconvert/src/emc_deletetemplate.js).