Manually create and upload data tables

Migration Center lets you upload tables of data that you fill in manually using the templates provided. This is useful if your infrastructure has a limited number of assets and you want to manually create the data.

To manually create and upload data tables, follow these steps:

Download the templates from the list of available templates .
Manually fill in the tables with the data from your infrastructure.
Upload the tables to Migration Center.

Limitations

The maximum size for a file upload is 100 Mb.

Available data templates

The following table provides you with the file templates that you can use to upload your infrastructure data to Migration Center. The templates contain sample data as a suggestion on how to fill in the table. For a detailed description of the required data format, see Import files specifications .

File name	Data type	Description
vmInfo.csv	Machine information	Use this template to provide information about individual assets, including CPU, memory, and other configuration parameters. This table is required every time you create a new import.
perfInfo.csv	Performance data	Optional: Use this template to provide performance data for your assets in a time-series format.
diskInfo.csv	Disk data	Optional: Use this template to provide information about disks and their utilization.
tagInfo.csv	System tags	Optional: Use this template to assign key-value attributes to your Amazon Web Services (AWS) assets. The attributes are formatted as `"tag: KEY " : " VALUE "` . For example, `"tag:Name" : "AWS-example"` .

For more information about the specifications for each file, see Import files specifications .

Upload the tables

To upload the files, follow these steps:

Console

Go to the Data importpage.

Go to Data import
Click Add data > Upload files.
In the Set up file uploadsection, enter the name of the file upload.
From the File format list, select Manually populated CSV templates .
Click Select files to upload, then select all the files that you want to upload.
To confirm and start uploading the files, click Upload files.
If the files are validated correctly, to create the assets from the files, click Import data, then click Confirm.

API

Create an import job.
```
POST https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs?importJobId= IMPORT_JOB_ID 
{
  "asset_source": "projects/ PROJECT_ID 
/locations/ REGION 
/sources/ SOURCE_ID 
"
}
```
Replace the following:
- PROJECT_ID : ID of the project to create the import job.
- REGION : Region to create the import job.
- IMPORT_JOB_ID : ID of the new import job.
- SOURCE_ID : ID of an existingsource to be associated with the import job.

Optional: To confirm that the import job was correctly created, get the import job.

GET https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID

Create a import data file attached to the import job.

POST https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
/importDataFiles?import_data_file_id= DATA_FILE_ID 
{
  "format": " IMPORT_JOB_FORMAT 
"
}

Replace the following:

DATA_FILE_ID : ID of the new data file
IMPORT_JOB_FORMAT : IMPORT_JOB_FORMAT_MANUAL_CSV

Get the data file.

GET https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
/importDataFiles/ DATA_FILE_ID

Copy the URL from the signedUrl field from the response.
Upload a file to the copied URL.
```
PUT -H 'Content-Type: application/octet-stream' --upload-file UPLOAD_FILE_PATH 
' COPIED_URL 
'
```
Replace the following:
- UPLOAD_FILE_PATH : The local path of the file that is uploaded.
- COPIED_URL : The copied signed URL from the previews steps.
Optional: Repeat steps 3-6 to create more data files under the same import job.

Optional: Get all data files of an import job.

GET https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
/importDataFiles

Validate the import job.

POST https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
:validate

Get the import job and view the validation report. If the state is READY , it is possible to continue to the next steps. Otherwise, you need to fix the job or specific files, this might require deleting files or uploading new ones.
```
GET https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
```

Run the import job.

POST https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
:run

Get the import job and view the execution report. If the state is COMPLETED , the job was executed successfully. Otherwise, if the job failed and in a terminal state, the execution report includes the errors. Create a new import job and apply the required changes.
```
GET https://migrationcenter.googleapis.com/v1alpha1/projects/ PROJECT_ID 
/locations/ REGION 
/importJobs/ IMPORT_JOB_ID 
```

If you experience problems with your file upload, see how to troubleshoot common error messages .

Review the upload

After you upload your files, Migration Center validates them to check if they are formally correct. If the validation is successful, Migration Center then processes the data to create new assets, or update existing ones. You can check the status of your upload jobs from the Google Cloud console.

To review the status of your upload job, follow these steps:

Go to the Data importpage, then click File uploads.
From the list of file imports, select the upload you want to review.
On the file upload page, under Data import progress, review the Statusfor your uploaded files.

You can see your files in one of the following statuses.

List of statuses

Completed. The import of your file was successful.
Ready. Your file passed validation, and is ready to be imported.
Pending. Your file is waiting for another file to finish processing.
Running. Your file is processing.
Validating. Your file is in the validation stage.
Failed validation. Your file contains some errors. Fix the errors then try to upload your file again.
Failed. Your file couldn't be imported.

Review error details

If you encounter errors after importing your files, you can review the error message directly in the Google Cloud console.

To review the errors of your upload job, follow these steps:

Go to the Data importpage, then click File uploads.
Click the import file that shows a warning or error. The import file details page shows the complete list of errors.

On the import file details page, you can review the assets and data fields that cause the errors, and view a description of the error. Errors in the file import job might prevent Migration Center from creating new assets or update existing ones with the new changes. To fix the error, edit your files and create a new file import job to upload them again.

For more information about the possible error messages, see Troubleshoot file import errors .

Import files specifications

The following tables show the technical specifications for the template files used for manual import.

`vmInfo` file

Column	Expected type	Description
MachineId	string	The virtual machine unique identifier.
MachineName	string	The virtual machine display name.
PrimaryIPAddress	string	The IP address of the machine.
PrimaryMACAddress	string	The MAC address of the machine. This is used only to identify the machine.
PublicIPAddress	string	The public IP address of the machine.
IpAddressListSemiColonDelimited	List of messages	The list of allocated or assigned network addresses.
TotalDiskAllocatedGiB	int64	The total capacity of the disk.
TotalDiskUsedGiB	int64	The total amount of used space in the disk.
MachineTypeLabel	string	The AWS or Azure machine type label.
AllocatedProcessorCoreCount	int64	Number of CPU cores in the virtual machine.
MemoryGiB	int32	The amount of memory of the virtual machine.
HostingLocation	string	The location of the machine in AWS or Azure format.
OsType	string	The OS of the machine.
OsName	string	The OS of the machine.
OsVersion	string	The version of the OS of the machine.
MachineStatus	string	The power state of the machine.
ProvisioningState	string	The provisioning state, for Azure VMs only.
CreateDate	Timestamp	The creation timestamp of the machine.
IsPhysical	string	If the machine is a physical or virtual machine.
Source	message	The details of the source for AWS or Azure machines.

`diskInfo` file

Column	Expected type	Description
MachineId	string	The virtual machine unique identifier.
DiskLabel	string	The disk label.
SizeInGib	int64	The total capacity of the disk.
UsedInGib	int64	The total amount of used space in the disk.
StorageTypeLabel	string	The disk label type (for example BIOS or GPT).

perfInfo file

Column	Expected type	Description
MachineId	string	The virtual machine unique identifier.
TimeStamp		The timestamp when the sample was collected.
CpuUtilizationPercentage	float	The percentage of total CPU capacity used. It must be in the interval 0-100.
MemoryUtilizationPercentage	float	The percentage of system memory used. It must be in the interval 0-100.
UtilizedMemoryBytes	float	The total memory used in bytes.
DiskReadOperationsPerSec	float	The average IOPS sampled over a short window.
DiskWriteOperationsPerSec	float	The average IOPS sampled over a short window.
NetworkBytesPerSecSent	float	The average network egress in B/s, sampled over a short window.
NetworkBytesPerSecReceived	float	The average network ingress in B/s, sampled over a short window.

tagInfo file

Column	Expected type	Description
Key	string	The attribute key.
Value	string	The attribute value.

What's next

Learn more about Migration Center collection methods .
Learn how to manage your file uploads .

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