ko-test | Knockout example with custom stringTemplateEngine

You can use hdfs dfs -copyFromLocal /local/path/to.json /hdfs/path/to.json to add files to hdfs from local storage.

Add file:///path/to/your.json and check if spark can find it on your local file system.

There are several things

• There is a trailing coma in you column definition
• Use backticks for column, table and database names instead of quotes (don't think this is important in your case though)
• LOCATION can't be set to a single file

The following should work

If you have only this data in the S3 bucket, you can read them directly:

To answer your question the range(32) just indicates number of columns to which StrucField class can be applied for required schema. In your case there are 30 columns. Based on your data I was able to create dataframe using below logic:

All the sources are download to $(Build.SourcesDirectory) that is the s folder in the agent (e.g. D:\a\1\s).

So if in your Azure DevOps repo you have multiple folders and files in the repository root you will get them in the folder s, and according to your structure you should download the GitHub repos to the parent folder. but, if in your Azure DevOps repo there is a one folder and in this folder there are more files and folders so in the s you will see only the folder (with sub folders and files), and in this case you need to download the GitHub repos to $(Build.SourcesDirectory).

If the first case is true I'm not recommended to download to the parent folder, maybe you need to consider to write a small PowerShell script that create a new folder in the s, move all the Azure DevOps files to there and then download to s the GitHub repos.

Looks to be a known issue (that dependency hasn't been synced to jcenter yet).

Temporary solution is to add the anko bintray repository to your root build.gradle file: