DBFFile (Forked from https://github.com/yortus/DBFFile)

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This fork is an attempt to add support for:

1. dBase IV 0x8B file format. (EXPERIMENTAL)

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1. yarn
2. typescript

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1. yarn run build
2. yarn test
3. yarn run prepublish

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Read and write .dbf (dBase III) files in Node.js:

- Supported field types:
- C (string)
- N (numeric)
- F (float)
- I (integer)
- L (logical)
- D (date)
- M (memo) Note: memo support is experimental/partial, with the following limitations:
- read-only (can't create/write DBF files with memo fields)
- dBase III file version 0x83 only
- Can open an existing .dbf file
- Can access all field descriptors
- Can access total record count
- Can read records in arbitrary-sized batches
- Supports very large files
- Can create a new .dbf file
- Can use field descriptors from a user-specified object of from another instance
- Can append records to an existing .dbf file
- Supports very large files
- Can specify character encodings either per-file or per-field.
- the default encoding is 'ISO-8859-1' (also known as latin 1)
- example per-file encoding: DBFFile.open(, {encoding: 'EUC-JP'})
- example per-field encoding: DBFFile.open(, {encoding: {default: 'latin1', FIELD_XYZ: 'EUC-JP'}})
- supported encodings are listed here.
- All operations are asynchronous and return a promise

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npm install dbffile or yarn add dbffile

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``javascript
import {DBFFile} from 'dbffile';

async function testRead() {
let dbf = await DBFFile.open('');
console.log(DBF file contains ${dbf.recordCount} records.);
console.log(Field names: ${dbf.fields.map(f => f.name).join(', ')});
let records = await dbf.readRecords(100);
for (let record of records) console.log(records);
}
`

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`javascript
import {DBFFile} from 'dbffile';

async function testWrite() {
let fieldDescriptors = [
{ name: 'fname', type: 'C', size: 255 },
{ name: 'lname', type: 'C', size: 255 }
];

let records = [
{ fname: 'Joe', lname: 'Bloggs' },
{ fname: 'Mary', lname: 'Smith' }
];

let dbf = await DBFFile.create('', fieldDescriptors);
console.log('DBF file created.');
await dbf.appendRecords(records);
console.log(${records.length} records added.);
}
`

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The module exports the DBFFile class, which has the following shape:

`typescript
/* Represents a DBF file. /
class DBFFile {

/* Opens an existing DBF file. /
static open(path: string, options?: Options): Promise;

/* Creates a new DBF file with no records. /
static create(path: string, fields: FieldDescriptor[], options?: Options): Promise;

/* Full path to the DBF file. /
path: string;

/* Total number of records in the DBF file (NB: includes deleted records). /
recordCount: number;

/* Metadata for all fields defined in the DBF file. /
fields: FieldDescriptor[];

/* Reads a subset of records from this DBF file. The current read position is remembered between calls. /
readRecords(maxCount?: number): Promise;

/* Appends the specified records to this DBF file. /
appendRecords(records: object[]): Promise;
}


/* Metadata describing a single field in a DBF file. /
export interface FieldDescriptor {

/* The name of the field. Must be no longer than 10 characters. /
name: string;

/**
* The single-letter code for the field type.
* C=string, N=numeric, F=float, I=integer, L=logical, D=date, M=memo.
*/
type: 'C' | 'N' | 'F' | 'L' | 'D' | 'I' | 'M';

/* The size of the field in bytes. /
size: number;

/* The number of decimal places. Optional; only used for some field types. /
decimalPlaces?: number;
}


/* Options that may be passed to DBFFile.open and DBFFile.create. /
interface Options {

/* The character encoding(s) to use when reading/writing the DBF file. /
encoding?: string | {default: string, [fieldName: string]: string};
}
``