Python - Pandas terminate `read_sql` based on user action
We are using pandas read_sql for retrieving query results that are triggered by a frontend. Just to simplify use case, assume user gives some parameters (table name, clauses, etc.) that we then convert to sql and then execute it using read_sql.
After pandas sends result, we send it back to frontend where it's displayed to user. All good till here.
We also give user option to "stop", so when query is taking longer, we "stop" on frontend, and allow user to "query" again.
However, the problem is, we have no way of quitting/terminating this query on the backend.
Is there a way we can cancel execution based on above scenario?
python python-2.7 pandas performance
asked Nov 16 '18 at 10:18
JazibJazib
80911536
add a comment |
We are using pandas read_sql for retrieving query results that are triggered by a frontend. Just to simplify use case, assume user gives some parameters (table name, clauses, etc.) that we then convert to sql and then execute it using read_sql.
After pandas sends result, we send it back to frontend where it's displayed to user. All good till here.
We also give user option to "stop", so when query is taking longer, we "stop" on frontend, and allow user to "query" again.
However, the problem is, we have no way of quitting/terminating this query on the backend.
Is there a way we can cancel execution based on above scenario?
python python-2.7 pandas performance
asked Nov 16 '18 at 10:18
JazibJazib
80911536
add a comment |
We are using pandas read_sql for retrieving query results that are triggered by a frontend. Just to simplify use case, assume user gives some parameters (table name, clauses, etc.) that we then convert to sql and then execute it using read_sql.
After pandas sends result, we send it back to frontend where it's displayed to user. All good till here.
We also give user option to "stop", so when query is taking longer, we "stop" on frontend, and allow user to "query" again.
However, the problem is, we have no way of quitting/terminating this query on the backend.
Is there a way we can cancel execution based on above scenario?
python python-2.7 pandas performance
asked Nov 16 '18 at 10:18
JazibJazib
80911536
We are using pandas read_sql for retrieving query results that are triggered by a frontend. Just to simplify use case, assume user gives some parameters (table name, clauses, etc.) that we then convert to sql and then execute it using read_sql.
After pandas sends result, we send it back to frontend where it's displayed to user. All good till here.
We also give user option to "stop", so when query is taking longer, we "stop" on frontend, and allow user to "query" again.
However, the problem is, we have no way of quitting/terminating this query on the backend.
Is there a way we can cancel execution based on above scenario?
python python-2.7 pandas performance
python python-2.7 pandas performance
asked Nov 16 '18 at 10:18
JazibJazib
80911536
asked Nov 16 '18 at 10:18
JazibJazib
80911536
asked Nov 16 '18 at 10:18
JazibJazib
80911536
asked Nov 16 '18 at 10:18
JazibJazib
80911536
asked Nov 16 '18 at 10:18
JazibJazib
80911536
80911536
add a comment |
add a comment |
1 Answer
1
active
oldest
votes
What if you read your data by chunks and use some condition so you can stop the loop when necessary? Would be this valid for you?
import pandas as pd
query = 'SELECT...'
for chunk in pd.read_sql_query(query, connection, chunksize=10):
if user_cancel:
break
print(chunk)
More info in: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
answered Nov 16 '18 at 13:00
m33nm33n
684222
add a comment |
StackExchange.ifUsing("editor", function () {
StackExchange.using("externalEditor", function () {
StackExchange.using("snippets", function () {
StackExchange.snippets.init();
});
});
}, "code-snippets");
StackExchange.ready(function() {
var channelOptions = {
tags: "".split(" "),
id: "1"
};
initTagRenderer("".split(" "), "".split(" "), channelOptions);
StackExchange.using("externalEditor", function() {
// Have to fire editor after snippets, if snippets enabled
if (StackExchange.settings.snippets.snippetsEnabled) {
StackExchange.using("snippets", function() {
createEditor();
});
}
else {
createEditor();
}
});
function createEditor() {
StackExchange.prepareEditor({
heartbeatType: 'answer',
autoActivateHeartbeat: false,
convertImagesToLinks: true,
noModals: true,
showLowRepImageUploadWarning: true,
reputationToPostImages: 10,
bindNavPrevention: true,
postfix: "",
imageUploader: {
brandingHtml: "Powered by u003ca class="icon-imgur-white" href="https://imgur.com/"u003eu003c/au003e",
contentPolicyHtml: "User contributions licensed under u003ca href="https://creativecommons.org/licenses/by-sa/3.0/"u003ecc by-sa 3.0 with attribution requiredu003c/au003e u003ca href="https://stackoverflow.com/legal/content-policy"u003e(content policy)u003c/au003e",
allowUrls: true
},
onDemand: true,
discardSelector: ".discard-answer"
,immediatelyShowMarkdownHelp:true
});
}
});
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53335768%2fpython-pandas-terminate-read-sql-based-on-user-action%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
1 Answer
1
active
oldest
votes
1 Answer
1
active
oldest
votes
active
oldest
votes
active
oldest
votes
What if you read your data by chunks and use some condition so you can stop the loop when necessary? Would be this valid for you?
import pandas as pd
query = 'SELECT...'
for chunk in pd.read_sql_query(query, connection, chunksize=10):
if user_cancel:
break
print(chunk)
More info in: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
answered Nov 16 '18 at 13:00
m33nm33n
684222
add a comment |
What if you read your data by chunks and use some condition so you can stop the loop when necessary? Would be this valid for you?
import pandas as pd
query = 'SELECT...'
for chunk in pd.read_sql_query(query, connection, chunksize=10):
if user_cancel:
break
print(chunk)
More info in: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
answered Nov 16 '18 at 13:00
m33nm33n
684222
add a comment |
What if you read your data by chunks and use some condition so you can stop the loop when necessary? Would be this valid for you?
import pandas as pd
query = 'SELECT...'
for chunk in pd.read_sql_query(query, connection, chunksize=10):
if user_cancel:
break
print(chunk)
More info in: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
answered Nov 16 '18 at 13:00
m33nm33n
684222
What if you read your data by chunks and use some condition so you can stop the loop when necessary? Would be this valid for you?
import pandas as pd
query = 'SELECT...'
for chunk in pd.read_sql_query(query, connection, chunksize=10):
if user_cancel:
break
print(chunk)
More info in: https://pandas.pydata.org/pandas-docs/stable/generated/pandas.read_sql_query.html
answered Nov 16 '18 at 13:00
m33nm33n
684222
answered Nov 16 '18 at 13:00
m33nm33n
684222
answered Nov 16 '18 at 13:00
m33nm33n
684222
answered Nov 16 '18 at 13:00
m33nm33n
684222
684222
add a comment |
add a comment |
Thanks for contributing an answer to Stack Overflow!
- Please be sure to answer the question. Provide details and share your research!
But avoid …
- Asking for help, clarification, or responding to other answers.
- Making statements based on opinion; back them up with references or personal experience.
To learn more, see our tips on writing great answers.
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
StackExchange.ready(
function () {
StackExchange.openid.initPostLogin('.new-post-login', 'https%3a%2f%2fstackoverflow.com%2fquestions%2f53335768%2fpython-pandas-terminate-read-sql-based-on-user-action%23new-answer', 'question_page');
}
);
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Sign up or log in
StackExchange.ready(function () {
StackExchange.helpers.onClickDraftSave('#login-link');
});
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Sign up using Google
Sign up using Facebook
Sign up using Email and Password
Post as a guest
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
Required, but never shown
