有两封电子邮件,并尝试检查它是否与我的数据数组(即电子邮件数组)中的任何内容匹配。
以下内容将返回true
或false
,但似乎不起作用:
const email1 = test.emailAddress.value;
const email2 = test2.emailAddress.value;
data.every(({ email }) => email.value === email1 || email.value === email2);
答案 0 :(得分:0)
您可以使用匹配的两封电子邮件数组filter
const data = [
{email: 'test@test.com'},
{email: 'test1@test.com'},
{email: 'test2@test.com'}
]
const email1 = 'test1@test.com'
const email2 = 'test2@test.com'
const matched = data.filter(({ email }) => [email1, email2].includes(email));
console.log(matched)
:
function multiplyAll(arr){
var product =1;
for (var i = 0; i < arr.length; i++){
for(var j=0; j < arr[i].length; j++)
product = product * arr[i][j];
}
//why is the product undefined?
return product;
}
//modify values below to test code
multiplyAll([[60,60],[24,365]]);
//console.log("Print results of product" + product);
答案 1 :(得分:0)
根据您的代码,.every
方法检查email
数组中的每个data
是email1
还是email2
,如果至少有一个data
数组中的电子邮件无法满足条件,.every
方法将返回false。这意味着.every
方法不适合您要实现的目标。
var exists = data.some(({email}) => [email1, email2].includes(email))
假设data
是包含电子邮件属性的对象数组。如果数据只是电子邮件字符串的数组,则应为
var exists = data.some(email => [email1, email2].includes(email))
答案 2 :(得分:-2)
除非您提供SELECT
-- LOGINS
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('logins') THEN
speedy.count ELSE 0 END),0) as login,
-- REGISTRATIONS
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('registrations') THEN
speedy.count ELSE 0 END),0) as registration,
-- COMPLETED DEPOSITS
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('manual_deposit', 'deposit') AND
LOWER(speedy.status) IN ('success', 'pending approval') THEN
(speedy.amount_1 * (CASE WHEN in_currency = -1 THEN (SELECT getcurrencyexchangerate(speedy.currency_code)) ELSE 1 END) )
ELSE 0 END),0) as deposit,
-- COMPLETED WITHDRAWS
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('withdraw') AND
LOWER(speedy.status) IN ('success') THEN
(speedy.amount_2 * (CASE WHEN in_currency = -1 THEN (SELECT getcurrencyexchangerate(speedy.currency_code)) ELSE 1 END) )
ELSE 0 END),0) as withdraw,
-- BONUS SUM
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('bonus', 'manual_bonus') AND
LOWER(speedy.status) IN ('success') THEN
(speedy.amount_1 * (CASE WHEN in_currency = -1 THEN (SELECT getcurrencyexchangerate(speedy.currency_code)) ELSE 1 END) )
ELSE 0 END),0) as bonus,
-- MANUAL BONUS SUM
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('manual_bonus') AND
LOWER(speedy.status) IN ('success') THEN
(speedy.amount_1 * (CASE WHEN in_currency = -1 THEN (SELECT getcurrencyexchangerate(speedy.currency_code)) ELSE 1 END) )
ELSE 0 END),0) as manualbonus,
-- BONUS WAGERED
COALESCE(sum(
CASE WHEN speedy.base_transaction_type IN ('bonus_wagered') AND
LOWER(speedy.status) IN ('success') THEN
(speedy.amount_1 * (CASE WHEN in_currency = -1 THEN (SELECT getcurrencyexchangerate(speedy.currency_code)) ELSE 1 END) )
ELSE 0 END),0) as bonuswager
FROM speedy_reports_data AS speedy
WHERE
speedy.for_date BETWEEN '2017-08-31' AND '2018-08-31' AND
(CASE WHEN in_currency != -1 THEN speedy.currency_code = in_currency ELSE TRUE END)
,否则很难弄清楚发生了什么。但是您可以使用data
检查数组中是否存在元素。
includes()方法确定数组是否包含某个元素,并在适当时返回true或false。
includes