bigint

How to parse a JSON data (type : BigInt) in TypeScript

北慕城南 提交于 2020-12-11 10:18:21
问题 I have a simple request but It seems to be harder than expected. I have to parse a bigint from a JSON stream. The value is 990000000069396215 . In my code, this value is declared in TypeScript like this: id_address: bigint . But this is not working, the value is truncated, and return nothing like 9900000000693962100 How can I simply manage this bigint in my code? 回答1: I guess you need to do something like this, export interface Address { id_address: string; } Then somewhere in your code where

Convert Sqlite BigInt to Date

落爺英雄遲暮 提交于 2020-12-05 06:36:39
问题 I have a Sqlite database that I am using as an ado.net job store for my Quartz.net scheduler jobs. In one table, a column called START_TIME is of type big int. Is there a way to cast or convert a bigint to a date value? I would like to be able to query the database to see which jobs are scheduled at what date/time and a value such as 633869892000000000 is meaningless. Thanks! 回答1: This seemed to work for me; select datetime(DateColumn/10000000 - 62135596800, 'unixepoch') from YourTable

How to convert BigInt to Number in JavaScript?

倾然丶 夕夏残阳落幕 提交于 2020-12-02 03:24:50
问题 I found myself in the situation where I wanted to convert a BigInt value to a Number value. Knowing that my value is a safe integer, how can I convert it? 回答1: Turns out it's as easy as passing it to the Number constructor: const myBigInt = BigInt(10); // of course, `10n` also works const myNumber = Number(myBigInt); 回答2: You can use parseInt or Number const large = BigInt(309); const b = parseInt(large); console.log(b); const n = Number(large); console.log(n); 来源: https://stackoverflow.com

If you try 9n**9n**9n in Chrome's console, Chrome breaks (it resembles an infinite loop). Why does this happen?

喜夏-厌秋 提交于 2020-08-22 04:35:46
问题 If you try 9n**9n**9n in Chrome's console, Chrome breaks (it resembles an infinite loop). Does the V8 engine lack the implementation for this case? I mean, if you try 9**9**9 it will return Infinity , which is kind of nice. Why doesn't V8 return Infinity as well in the former case? And why does it seem to go into an infinite loop? I tried this in Firefox too, and this problem doesn't exist, because currently there's no BigInt implementation in SpiderMonkey. Thanks! 回答1: As was said already,

Can I Make my Own Custom Data Type Larger than the Ones in C++? [duplicate]

喜夏-厌秋 提交于 2020-06-26 06:30:10
问题 This question already has answers here : Closed 7 years ago . Possible Duplicate: How to implement big int in C++ For example, say I have a variable of the "long" type. A long can store values from -⁠9,223,372,036,854,775,808 through 9,223,372,036,854,775,807. Is it possible for me to create my own C++ data type that allows me to create integers of unlimited size? I know it's kind of reckless from a memory standpoint, but I'm just curious. 回答1: Ha! Here is a reckless answer! Just create a

Mysql vs sql express server (HEX -> bigint and bigint -> HEX conversion)

巧了我就是萌 提交于 2020-05-31 04:03:39
问题 I am new to the SQL express server and trying to convert HEX to bigint and bigint to HEX again. However, I noticed that MySQL and SQL express server calculations give different results. HEX to bigint : MySQL: SELECT CONV('DA346CC793AD1510',16,10); Output: 15723311803489129744 SQL Express : SELECT CAST(CONVERT(VARBINARY(MAX), 'DA346CC793AD1510', 2) AS BIGINT); Output: -2723432270220421872 Why MySQL and SQL express servers give different outputs? From a mathematical point of view, it must be

Mysql vs sql express server (HEX -> bigint and bigint -> HEX conversion)

爷,独闯天下 提交于 2020-05-31 04:03:30
问题 I am new to the SQL express server and trying to convert HEX to bigint and bigint to HEX again. However, I noticed that MySQL and SQL express server calculations give different results. HEX to bigint : MySQL: SELECT CONV('DA346CC793AD1510',16,10); Output: 15723311803489129744 SQL Express : SELECT CAST(CONVERT(VARBINARY(MAX), 'DA346CC793AD1510', 2) AS BIGINT); Output: -2723432270220421872 Why MySQL and SQL express servers give different outputs? From a mathematical point of view, it must be