named_struct | A drop-in replacement for Ruby 's Struct | Genomics library
kandi X-RAY | named_struct Summary
kandi X-RAY | named_struct Summary
A drop-in replacement for Ruby's Struct that supports keyword arguments
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of named_struct
named_struct Key Features
named_struct Examples and Code Snippets
Community Discussions
Trending Discussions on named_struct
QUESTION
I have below example
...ANSWER
Answered 2022-Mar-12 at 09:59Just create a new struct from pi.opi1
and opi2
QUESTION
I am trying to convert one dataset which declares a column to have a certain struct
type (eg. struct
) to a map
type. And I would like to do it in SQL, possibly without using UDFs.
UPDATE:
My requirement is also that the transformation is done generically without any prior knowledge of the struct keys (in my problem I am getting data in a complex JSON, and I don't want to keep that complexity in the schema).
Example input data:
...ANSWER
Answered 2021-Dec-17 at 13:00QUESTION
Using date_format
we can extract month name from a date:
ANSWER
Answered 2021-Nov-11 at 11:30Thanks to this clever guy, this is a very nice solution to return results in another language (locale):
QUESTION
Suppose I have these case class
...ANSWER
Answered 2021-Sep-12 at 00:27The error is being caused because the reference returned by left("office_id")
no longer exists in the new projected dataset(i.e. the dataset resulting from the first join and map operation).
If you look closer at the execution plan in the nested relation
: +- LocalRelation , [id#40L, proj_id#41L, office_id#42L, salary#43L]
you can observe that the reference to office_id
in the left
dataset is office_id#42L
. However, if you look at the later execution, you will notice that this reference no longer exists in the projection
SerializeFromObject [assertnotnull(assertnotnull(input[0, Employee, true])).id AS id#114L, assertnotnull(assertnotnull(input[0, Employee, true])).proj_id AS proj_id#115L, assertnotnull(assertnotnull(input[0, Employee, true])).office_id AS office_id#116L, assertnotnull(assertnotnull(input[0, Employee, true])).salary AS salary#117L]
as the office_id
reference available is office_id#116L
.
In order to resolve this, you could use intermediary/temporary variables eg:
QUESTION
I'm fairly new to pyspark
My code what I have tried so far
...ANSWER
Answered 2021-Jun-10 at 02:55Check below code.
QUESTION
I have the following Dataframe View df_view
:
ANSWER
Answered 2021-Jun-02 at 08:14You can wrap the struct in array()
:
QUESTION
I'm trying to update a table based on a match to another table for multiple columns. I've tried what is shown below but I'm getting the error shown. How is this done?
...ANSWER
Answered 2020-Oct-30 at 00:19First off, make sure you are using Delta Lake as the table format. Second, I think you are looking for Upserts, which are defined as
An operation that inserts rows into a database table if they do not already exist, or updates them if they do.
To do so you'll need to use MERGE
combined with UPDATE
. Here's an example with the matching expression:
QUESTION
I am trying to create an array
type. my code seems to be returning what I want but when I open up the json file the array only contains 1 struct.
ANSWER
Answered 2020-Oct-10 at 02:15I am supposed to have a narrow query.
QUESTION
Suppose we have a DataFrame
with a column of map
type. What is the most straightforward way to convert it to a struct
(or, equivalently, define a new column with the same keys and values but as a struct
type)? See the following spark-shell
(2.4.5) session, for an insanely inefficient way of going about it:
ANSWER
Answered 2020-Jun-05 at 15:18I would use explode
function:
QUESTION
In Spark, for the following use case, I'd like to understand what are the main differences between using the INLINE and EXPLODE ... I'm not sure if there are any performance implications or if one method is preferred over the other one or if there are any other uses cases where one is appropriate and the other is not...
The use case is to select 2 fields from a complex data type (array of structs), my instinct was to use INLINE since it explodes an array of structs
For example:
...ANSWER
Answered 2020-May-30 at 08:14EXPLODE
UDTF will generate rows of struct (single column of type struct), and to get person name you need to use person.name
:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install named_struct
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page