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问题 Python code is taking around 2-3 secs to make the snowflake database connection. Is it expected behaviour ? OR are there any parameters which will speed up connection time. Here is the sample code: import snowflake.connector import time t1=time.time() print("Start time :"+str(t1)) try: conn = snowflake.connector.connect( user=user, password=password, account=account, warehouse=warehouse, # database=DATABASE, # schema=SCHEMA ) cur = conn.cursor() except Exception as e: logging.error(

问题 When moving between panels I get the following error [WARN][Ext.Component#constructor] Registering a component with a id (`logOutButton`) which has already been used. Please ensure the existing component has been destroyed (`Ext.Component#destroy()`. I can go back to the previous screen but the cannot go forward again without getting the above error. To combat this I have tried using the code below, but it does not work. Can anyone help me out? var loginView = Ext.getCmp('login'); if(

问题 At the request of users, I need the add to cart button on the individual product page to redirect users to the previous page after clicking add product to cart. With following code, customer returns to a specific page (in this case the shop page): function my_custom_add_to_cart_redirect( $url ) { $url = get_permalink( 311 ); // URL to redirect to (1 is the page ID here) return $url; } add_filter( 'woocommerce_add_to_cart_redirect', 'my_custom_add_to_cart_redirect' ); with this code the users

问题 I am adding a group of markers to a map using react-leaflet. At present I can display the markers on the map with a custom icon. How do add a record of data to each marker. I assume I have to somehow create a custom marker class? Does anyone now how I could add a data record to each marker or at least an index. This is the code so far: import React, { Component } from 'react'; import { Map, TileLayer, Marker } from 'react-leaflet'; import {Navbar, Nav, NavDropdown} from 'react-bootstrap';

问题 I have implemented 'Remember Me' functionality in my Spring MVC application using Spring Security 3.1 My security-context.xml looks like this : <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:security="http://www.springframework.org/schema/security" xsi:schemaLocation="http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans.xsd http://www

问题 As suggested by many people, one of the usages of named function expression is for recursively calling itself. However, it seems that in Chrome Console, function expression without a name can still do so. Edit : I know this is gonna be stackoverflow, however, I would expect a output like a() is not a function instead of Uncaught RangeError: Maximum call stack size exceeded(…). var a = function () { a(); } a(); the following function expression with a name should be giving me a Uncaught

问题 This question already has answers here : R: Calculate means for subset of a group (3 answers) Closed 3 years ago . I have a dataframe with a transnational data structure that looks something similar to the below: ID RANK GRADE 123 E1 0 123 E1 42 123 E1 NA 123 E2 41 123 E2 42 456 E2 41 456 E2 41 456 E3 NA I want to calculate the mean of the Grade column for each Rank based on the ID, ignoring the values that are 0 because they are data entry errors, and ignoring the NA's. For example: For ID

问题 my task is to write simple application: 1. user writes a String in a Text field and save it to SharedPreferences (his note) saveButton.setOnClickListener(new OnClickListener() { @Override public void onClick(View v) { text = textEtxt.getText().toString(); InputMethodManager imm = (InputMethodManager) getSystemService(Context.INPUT_METHOD_SERVICE); imm.hideSoftInputFromWindow(textEtxt.getWindowToken(), 0); // save to ShPr sharedPreference.save(context, text); Toast.makeText(context,

问题 I need to be able to extract columns that contain exact string that I am looking for. For example, I have this data frame x: structure(list(Time = structure(1L, .Label = "1/1/2015", class = "factor"), WTAD..Linux..Linux.Percent.of.Physical.Memory.and.Swap.Used.on.web02.Total.Phys.Mem.MB. = 3555L, WTAD..Linux..Linux.Percent.of.Physical.Memory.and.Swap.Used.on.web02.Total.Phys.Mem.Free.MB. = 55L, WTAD..Linux..Linux.Percent.of.Physical.Memory.and.Swap.Used.on.web02.Total.Swap.Free.MB. = 44L,

问题 How can we visualize (via Dashboards) the Dataproc job status in Google Cloud Platform? We want to check if jobs are running or not, in addition of their status like running, delay, blocked. On top of it we want to set alerting (Stackdriver Alerting) as well. 回答1: In this page, you have all the metrics available in Stackdriver https://cloud.google.com/monitoring/api/metrics_gcp#gcp-dataproc You could use cluster/job/submitted_count , cluster/job/failed_count and cluster/job/running_count to