Thanks for the tip!
But if the first thing you come across
Is somebody using the trim function to strip away spaces in /etc/hostnames
like so from :
127.0.0.1 hostname local
To
127.0.0.1hostnamelocal
Then there is a log error message showing the outcome of unnecessarily
using the trim functio
So the schema is limited to holding only the DEFINITION of schema. For
example as you say the columns, I.e. first column User:Int 2nd column
String:password.
Not location of source I.e. csv file with or without header. SQL DB tables.
I am pleased for once I am wrong about being another bug, and
Very kind of you.
On Sat, 28 Mar 2020, 15:24 Russell Spitzer,
wrote:
> This is probably more of a question for the user support list, but I
> believe I understand the issue.
>
> Schema inside of spark refers to the structure of the output rows, for
> example the schema for a particular dataframe
This is probably more of a question for the user support list, but I
believe I understand the issue.
Schema inside of spark refers to the structure of the output rows, for
example the schema for a particular dataframe could be
(User: Int, Password: String) - Two Columns the first is User of type i
