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db-row-parser

2.3.0 • Public • Published

db-row-parser

Simple "row" parser that transform a row (basically an array or a "flatten" Javascript Object) into an object graph.

Parse Array

For example if we have rows like:

const DbRowParser = require("db-row-parser").DbRowParser;

let rows = [
  [1, "Pascal", "123 on the street", "In a City", 12345, 10, "My First Blog"],
  [1, "Pascal", "123 on the street", "In a City", 12345, 20, "My Second Blog"]
];

And we want to make it into an object graph like:

{
  userId: 1,
  username: "Pascal",
  address: {
    street: "123 on the street",
    city: "In a City"
  },
  dob: "Wed Dec 31 1969 17:00:12 GMT-0700 (MST)",
  blogs: [
    {
      blogId: 10,
      text: "My First Blog"
    },
    {
      blogId: 20,
      text: "My Second Blog"
    }
  ]
}

We can configure our parsers like this:

let blogParser = new DbRowParser({
  key: 5,
  properties: {
    blogId: 5,
    text: 6
  }
});
let addressParser = new DbRowParser({
  key: 2,
  properties: {
    street: 2,
    city: 3
  }
});
let userParser = new DbRowParser({
  key: 0,
  properties: {
    userId: 0,
    username: 1,
    address: addressParser,     // for complex property we can reference another parser
    blogs: [blogParser],        // if there will multiple "children", reference another parser but put it an array to let the parent parser know there is going to be more than one
    dob: function(row) { return new Date(row[4]).toString(); }   // can use simple "transformation" function
  }
});

And than parse the row(s):

userParser.on("new-object", obj => {
  console.log(obj);
});
rows.forEach(row => {
  userParser.parse(row);
});
userParser.done();

Parse Flatten Object

Support also rows of "flatten" Javascript Object. For example if we have rows like:

let rows = [
  {
    userId: 1, username: "Pascal", street: "123 on the street", city: "In a City", dob: 12345, blogId: 10, text: "My First Blog"  
  },
  {
    userId: 1, username: "Pascal", street: "123 on the street", city: "In a City", dob: 12345, blogId: 20, text: "My Second Blog"
  }
];

And we want to make it into an object graph like we did above using rows of "array",

We can configure our parsers like this:

let blogParser = new DbRowParser({
  key: "blogId",
  properties: ["blogId", "text"]
});
let addressParser = new DbRowParser({
  key: "street",
  properties: ["street", "city"]
});

let userParser = new DbRowParser({
  key: "userId",
  properties: [                 // this time we use an array to list the properties we want to extract for each row
    "userId", "username",       // for simple property, we just need to list their name
    {
      address: addressParser    // for "complex" property we use an object with only 1 property and reference another parser
    },
    {
      blogs: [blogParser]       // when there will be multiple children, reference another parser but inside an array
    },
    {
      dob: function(row) { return new Date(row.dob).toString(); }   // as before we can still use "transformation" function for simple property
    }
  ]
});

Single value collection

If a child property is a collection of single values, we can configure a parser with just a key attribute. For example suppose we have the following rows;

let rows = [                        // I'm using rows of array but work as well with "flatten" Javascript Object
  ["Pascal", "Fly Fishing"],
  ["Pascal", "X-Country Skiing"],
  ["Patricia", "Puzzle"]
]

And we want to turn them into something like this;

[
  {
    name: "Pascal",
    hobbies: ["Fly Fishing", "X-Country Skiing"]
  },
  {
    name: "Patricia",
    hobbies: ["Puzzle"]
  }
]

We can configure our parsers like this;

let hobbyParser = new DbRowParser({
  key: 1
});
let personParser = new DbRowParser({
  key: 0,
  properties: {
    name: 0,
    hobbies: [hobbyParser]
  }
});

API

Class: DbRowParser

A row parser to convert a flatten object (array) into an Object graph.

Constructor: new DbRowParser(options)

  • options

    • key: integer|string Indicate the Array index or the property name of the object key. Basically the "field" the parser will look to detect if processing a new object. Default is 0.
    • properties: Object|Array Provide mapping configuration of the object to "inflate". Depending if parsing rows of "flatten" Javascript Object use an array ([]) to describe each property or an Object if each rows is an array of values. For each property of the object we want to rebuild;
      • for simple property; put the integer array index where to find the value in the array (when parsing array) or just the name of the property (when parsing "flatten" Javascript Object) or
      • a transformation function or
      • a complex property definition.
    • transformation function: function(row) a function accepting 1 argument, the row, and returning the value we want to get.
    • complex property Can;
      • reference another parser for single child object or
      • reference another parser but inside an array in order to signal the parser there is going to be multiple children using this parser.

DbRowParser.parse(array)

Return inflated object from the array.

DbRowParser.done()

Signal parser we're done parsing the collection of rows. This will emit the current object.

Event: new-object

Send the parsed object every time parser detect a change of key (key attribute).

  parser.on("new-object", function(obj) {
      // congratulation you have a new object!
  });

For example if we are processing rows for Blob Post with following collection of arrays:

[1, "First Blog", "foo@exapmle.com", "Wow that's an awesome blog post."]
[1, "First Blog", "bar@exapmle.com", "Can't wait for your next awesome blog."]
[2, "Second Blog", "bob@exapmle.com", "Meeehhh..."]

Where array[0] == blog.id, array[1] == blog.text, array[2] == blog.comments.user and array[3] == blog.comments.comment, with an event register on BlogParser (column 0 and 1) an event new-object will be emitted when processing the 3 row with an object;

{
  id: 1,
  text: "First Blog",
  comments: [
    {
      user: "foo@example.com",
      comment: "Wow that's an awesome blog post."
    },
    {
      user: "bar@example.com",
      comment: "Can't wait for your next awesome blog."
    }    
  ]
}

And after parsing the 3rd row calling .done() will emit the object for the 3rd row namely:

{
  id: 2,
  text: "Second Blog",
  comments: [
    {
      user: "bob@example.com",
      comment: "Meeehhh..."
    }
  ]
}

Class: DbRowParserStream

Streaming API for the parser.

const DbRowParser = require("db-row-parser").DbRowParser;
const DbRowParserStream = require("db-row-parser").DbRowParserStream;

let parser = new DbRowParser({
  ...
});

let streamParser = new DbRowParserStream({
  rowParser: parser
});

let csvStream = csv({
  // csv parser configuration for example fast-csv
});

let fileStream = fs.createReadStream("blogs.csv");

fileStream
  .pipe(csvStream)
  .pipe(streamParser)
  .pipe(toSomethingElse);

Constructor: new DbRowParserStream(options)

  • options
    • rowParser: DbRowParser Parser definition.

install

npm i db-row-parser

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0

version

2.3.0

license

ISC

homepage

github.com

repository

Gitgithub

last publish

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