mongodb - Receiving the titled error for a Meteor Galaxy deploy: MongoError: not authorized on admin to execute command -


i trying deploy locally developed meteor app galaxy (provided meteor). i've used 1 of recommended mongodb providers, atlas mongodb. have overcome several connection issues, cannot figure out cause of below. user associated has atlasadmin, dbadmin, dbadminanydatabase,readwriteanydatabase on admin db "@admin".

/app/bundle/programs/server/node_modules/fibers/future.js:313     throw(ex); mongoerror: not authorized on admin execute command { listindexes: "users", cursor: { } } object.future.wait (/app/bundle/programs/server/node_modules/fibers/future.js:449:15) [object object].mongoconnection._ensureindex (packages/mongo/mongo_driver.js:832:10) [object object].mongo.collection._ensureindex (packages/mongo/collection.js:677:20) setupuserscollection (packages/accounts-base/accounts_server.js:1493:9) new accountsserver (packages/accounts-base/accounts_server.js:51:5) meteorinstall.node_modules.meteor.accounts-base.server_main.js (packages/accounts-base/server_main.js:9:12) fileevaluate (packages/modules-runtime.js:197:9) require (packages/modules-runtime.js:120:16) /app/bundle/programs/server/packages/accounts-base.js:2031:15 /app/bundle/programs/server/packages/accounts-base.js:2042:3 function.mongoerror.create (/app/bundle/programs/server/npm/node_modules/meteor/npm-mongo/node_modules/mongodb-core/lib/error.js:31:11) querycallback (/app/bundle/programs/server/npm/node_modules/meteor/npm-mongo/node_modules/mongodb-core/lib/cursor.js:197:34) /app/bundle/programs/server/npm/node_modules/meteor/npm-mongo/node_modules/mongodb-core/lib/connection/pool.js:455:18 nexttickcallbackwith0args (node.js:489:9) process._tickcallback (node.js:418:13)

this has been resolved. implemented mlab instead , let sit while.


-

Comments

Post a Comment

Popular posts from this blog

php - Permission denied. Laravel linux server -

when try register , send email user got error. working till yesterday. today gives me , cant figure out why. way on local testing work's. i'm stuck. please errorexception in compiled.php line 7512: file_put_contents(/var/www/html/storage/framework/views/53de219dee4f11a2db4f64a2c574ad02db5613f4.php): failed open stream: permission denied in compiled.php line 7512 @ handleexceptions->handleerror('2', 'file_put_contents(/var/www/html/storage/framework/views/53de219dee4f11a2db4f64a2c574ad02db5613f4.php): failed open stream: permission denied', '/var/www/html/bootstrap/cache/compiled.php', '7512', array('path' => '/var/www/html/storage/framework/views/53de219dee4f11a2db4f64a2c574ad02db5613f4.php', 'contents' => 'please activate account clicking on following link. <a href="<?php echo e(route('auth.activate', $token)); ?>"><?php echo e(route('auth.activate', $token)); ?
Read more

google bigquery - Delta between query execution time and Java query call to finish -

context our container cluster located @ us-east1-c we using following java library: google-cloud-bigquery, 0.9.2-beta our dataset has around 26m rows , represents ~10g all of our queries return less 100 rows grouping on specific column question we analyzed last 100 queries executed in bigquery, these executed in 2-3 seconds (we analyzed calling bq --format=prettyjson show -j jobid , end time - creation time). in our java logs though, of calls bigquery.query blocking 5-6 seconds (and 10 seconds not out of ordinary). explain systematic gap between query finish in bigquery cluster , results being available in java? know 5-6 seconds isn't astronomic, curious see if normal behaviour when using java bigquery cloud library. i didn't dig point analyzed outbound call using wireshark. our tests executed in our container cluster (kubernetes). code queryrequest request = queryrequest.newbuilder(sql) .setmaxwaittime(30000l) .setuselega
Read more

python - Pandas two dataframes multiplication? -

i have 2 data frames (a , b) a: column 1, column 2, column 3 0.1 0.5 0.7 b: row 1 5 row 2 6 row 3 7 how perform multiplication like (0.1)*5, (0.5)* 6, , (0.7)*7? in other words, how multiply value in first row of b value in first column of a, second row of b value in second column of b, , etc? you want multiply values without respect whether rows or columns. pd.series(a.values.ravel() * b.values.ravel()) 0 0.5 1 3.0 2 4.9 dtype: float64
Read more