问题
I try to collect for a list of users the questions.
So I prepared this command lines:
library(stackr)
dft <- data.frame()
for (j in 1:nrow(df)) {
questions <- stack_users(df$userid[j], "questions", num_pages=1000000, pagesize=100, filter="withbody")
for (s in 1:nrow(questions)){
dft <- rbind(dft, data.frame(
tags = ifelse(is.null(questions$tags[s]) , NA, questions$tags[s]),
is_answered = ifelse(is.null(questions$is_answered[s]) , NA, questions$is_answered[s]),
view_count = ifelse(is.null(questions$view_count[s]) , NA, questions$view_count[s]),
accepted_answer_id = ifelse(is.null(questions$accepted_answer_id[s]) , NA, questions$accepted_answer_id[s]),
answer_count = ifelse(is.null(questions$answer_count[s]) , NA, questions$answer_count[s]),
score = ifelse(is.null(questions$score[s]) , NA, questions$score[s]),
last_activity_date = ifelse(is.null(questions$last_activity_date[s]) , NA, questions$last_activity_date[s]),
creation_date = ifelse(is.null(questions$creation_date[s]) , NA, questions$creation_date[s]),
last_edit_date = ifelse(is.null(questions$last_edit_date[s]) , NA, questions$last_edit_date[s]),
question_id = ifelse(is.null(questions$question_id[s]) , NA, questions$question_id[s]),
link = ifelse(is.null(questions$link[s]) , NA, questions$link[s]),
title = ifelse(is.null(questions$title[s]) , NA, questions$title[s]),
body = ifelse(is.null(questions$body[s]) , NA, questions$body[s]),
owner_reputation = ifelse(is.null(questions$owner_reputation[s]) , NA, questions$owner_reputation[s]),
owner_user_id = ifelse(is.null(questions$owner_user_id[s]) , NA, questions$owner_user_id[s]),
owner_user_type = ifelse(is.null(questions$owner_user_type[s]) , NA, questions$owner_user_type[s]),
owner_accept_rate = ifelse(is.null(questions$owner_accept_rate[s]) , NA, questions$owner_accept_rate[s]),
owner_link = ifelse(is.null(questions$owner_link[s]) , NA, questions$owner_link[s])
))
}
}
However it takes to much time to collect a list of different user ids. Is there any way to reduce the execution time or update to code I could make?
回答1:
Partial answer since I'm not fluent in r
:
Are you trying to get the list of questions for a given set of users?
If so,
for (j in 1:nrow(df)) {
questions <- stack_users(df$userid[j]...
is a poor way to do it.
Refer to the API's /users/{ids}/questions doc:
(The) {ids} (parameter) can contain up to 100 semicolon delimited ids. To find ids programmatically look for user_id on user or shallow_user objects.
(Emphasis added)
So instead of something that evaluates to stack_users(1,...
(one id)
Group the ids in batches of 100 for that function. Something like:
stack_users(c(1,2,3,4,5,...),...
(But remember I'm not an r
coder.)
来源:https://stackoverflow.com/questions/52395556/how-to-reduce-query-time-for-stackexchange-api