serialization

问题 I have a JSON structure that incorporates a wrapping level that I don't have in my POJOs. Like so: JSON: { "category1": { "cat1Prop1": "c1p1", "cat1Prop2": "c1p2", "cat1Prop3": "c1p3" }, "category2": { "cat2Prop1": "c2p1", "cat2Prop2": "c2p2" }, "category3": { "cat3Prop1": "c3p1", "cat3Prop2": "c3p2", "cat3Prop3": "c3p3" }, "category4": { "cat4Prop1": "c4p1" } } POJO: public class MyPojo { private String cat1Prop1; private String cat1Prop2; private String cat1Prop3; private String cat2Prop1;

问题 I'm trying to implement Serialize for an enum that includes struct variants. The serde.rs documentation indicates the following: enum E { // Use three-step process: // 1. serialize_struct_variant // 2. serialize_field // 3. end Color { r: u8, g: u8, b: u8 }, // Use three-step process: // 1. serialize_tuple_variant // 2. serialize_field // 3. end Point2D(f64, f64), // Use serialize_newtype_variant. Inches(u64), // Use serialize_unit_variant. Instance, } With that in mind, I proceeded to

问题 I'm trying to implement Serialize for an enum that includes struct variants. The serde.rs documentation indicates the following: enum E { // Use three-step process: // 1. serialize_struct_variant // 2. serialize_field // 3. end Color { r: u8, g: u8, b: u8 }, // Use three-step process: // 1. serialize_tuple_variant // 2. serialize_field // 3. end Point2D(f64, f64), // Use serialize_newtype_variant. Inches(u64), // Use serialize_unit_variant. Instance, } With that in mind, I proceeded to

问题 const makeIncrementer = s=>a=>a+s makeIncrementer(10).toString() // Prints 'a=>a+s' which would make it impossible to de-serialize correctly (I would expect something like a=>a+10 instead. Is there a way to do it right? 回答1: This is a great question. While I don't have a perfect answer, one way you could get details about the argument/s is to create a builder function that stores the necessary details for you. Unfortunately I can't figure out a way to know which internal variables relate to

问题 I am storing the PHP $_SESSION data in a database. Then from a Node.js server I want to take that data and unserialize it. I tried to use js-php-unserialize like this: con.query('SELECT user_id, data ' + 'FROM sessions ' + 'WHERE session_id = ? AND session_id IS NOT NULL AND user_id IS NOT NULL' , [tokenId] , function(queryError, rows){ if(queryError){ throw queryError; } console.log(rows[0].data); return; var data; if(rows[0]){ data = PHPUnserialize.unserialize(rows[0].data); var now = Math

问题 I'm using OData v4 and trying to get a really simple controller working: Controller: public class ProductController : ODataController { readonly MasterDataEntities db = new MasterDataEntities(); [EnableQuery(PageSize = MaxPageSize)] public IQueryable<Product> Get() { return db.Products; } [EnableQuery] public SingleResult<Product> Get([FromODataUri] string key) { return SingleResult.Create(db.Products.Where(p => p.Code == key)); } } WebApiConfig: ODataModelBuilder builder = new

问题 I'm using OData v4 and trying to get a really simple controller working: Controller: public class ProductController : ODataController { readonly MasterDataEntities db = new MasterDataEntities(); [EnableQuery(PageSize = MaxPageSize)] public IQueryable<Product> Get() { return db.Products; } [EnableQuery] public SingleResult<Product> Get([FromODataUri] string key) { return SingleResult.Create(db.Products.Where(p => p.Code == key)); } } WebApiConfig: ODataModelBuilder builder = new

问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision

问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision

问题 JSON and Gzip is a simple way to serialize data. These are widely implemented across programming languages. Also this representation is portable across systems (is it?). My question is whether json+gzip is good enough (less then 2x cost) compared to very efficient binary serialization methods? I'm looking for space and time costs while serializing various kinds of data. 回答1: Serialising with json+gzip uses 25% more space than rawbytes+gzip for numbers and objects. For limited precision