HackMan | Let hackman | Generator Utils library
kandi X-RAY | HackMan Summary
kandi X-RAY | HackMan Summary
HackMan is a simple tool for generating boilerplate code directly via the command line. Let hackman do the boring work and save some time. Hackman is heavily inspired by the rails command.
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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of HackMan
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Trending Discussions on HackMan
QUESTION
So I have database in which I want to retrieve the result that has the relationship "Reviewed" and in this result I want to retrieve entities with relationship "acted_in" and return the movie with highest number of cast members.
This is the code I wrote:
...ANSWER
Answered 2021-May-26 at 17:39The reason why you get multiple/duplicate actors is because the same movie is being reviewed by more than one person (reviewers). To remove duplicates, you can use the keyword "DISTINCT".
QUESTION
ANSWER
Answered 2020-Oct-01 at 21:25When you select normal columns and aggregate functions, you need to use GROUP BY
to tell over which you want the aggregate calculation to be performed.
Secondly, the conditions that affect the aggregate function results, should be put in a HAVING-clause (sort of a where-clause for group by).
So you query would look like this:
QUESTION
I have a similar scenario to what's below. Is there a way to join the items audit table to the users table? I would like the user Id of the user that last audited the items.
Users table:
...ANSWER
Answered 2020-Aug-05 at 18:02You should really have the id
in the audit table, but you can use:
QUESTION
I am learning how to parse through different files (xml, json, csv) and grabbing specific values in Python. However, I do not know how to go about writing code to find things such as which movie summary has the most characters or the total number of movies. I was wondering if somebody could please point me in the right direction or if there is a video that helps with grabbing info from a json file.
Here's the json file:
...ANSWER
Answered 2019-Sep-27 at 18:39There's a package called json
.
You can use that.
This is a good article on working with json data in python
QUESTION
Create a function that takes an array of people objects and returns the first found astronaut object from the array.
This is the code that I have created;
...ANSWER
Answered 2018-Dec-24 at 17:04You need to use the index for the array.
QUESTION
I have generated pyspark.sql.dataframe.DataFrame
with columns names cast and score.
However, I want to keep the only names in cast column, not the ids associated with them, alongside _score column.
e.g Liam Neeson, 'Dan Stevens, Marina Squerciati, Scott Frank
The structure of datatype in column cast
looks like this
ANSWER
Answered 2019-Feb-14 at 12:45you can use explode
function, for more information see these answers
QUESTION
Let's say we have 4 nodes:
{id:1, name:"one"}
{id:2, name:"two"}
{id:3, name:"three"}
{id:4, name:"four"}
Suppose node 1 is linked to node 2, node 2 to 3, 3 to 4 so the result would be something like:
(1)-->(2)-->(3)-->(4)
How would I be able to get the shortest path between multiple given nodes in any given order? A few examples:
findShortestPath(2,4,3)
should result in: (2)-->(3)-->(4)
findShortestPath(3,1)
should result in: (1)-->(2)-->(3)
findShortestPath(4,1)
should result in: (1)-->(2)-->(3)-->(4)
findShortestPath(3,2)
should result in: (2)-->(3)
I have tried something like this, but I feel like I'm going the wrong way and it's not the most performant solution. Note that my query gets constructed programmatically since it can contain any number and kind of nodes.
If the input would be: (2),(3),(1)
That would result in a double for loop constructing something like this:
match p=allShortestPaths((p2)-[*]-(p3)),allShortestPaths((p2)-[*]-(p1)),allShortestPaths((p3)-[*]-(p1)) where p1.name="Keanu Reeves" and p2.name="Gene Hackman" and p3.name="Clint Eastwood" return p;
My problem is that I can't provide multiple nodes to the allShortestPaths()
function. Only 2 nodes with 1 relation is allowed.
ANSWER
Answered 2018-Jul-20 at 15:19You can go through all the pairs of nodes, and check that the other nodes are in the possible paths between these pairs:
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