定制 jamielsharief/document-store 二次开发

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jamielsharief/document-store

Composer 安装命令:

composer require jamielsharief/document-store

包简介

Document Store

README 文档

README

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DocumentStore is a Key-Value Store (KVS) that stores data in JSON documents, giving you a productive way to work with simple or nested data and allows for felxible and dynamic schema. Data can easily be synced across multiple servers. This provides a consistent interface for working with JSON data as a no SQL database.

Creating a Document

Create a Document and add any data you like, it can be nested include arrays

use DocumentStore\Document;

$document = new Document();
$document->title = 'Patterns of Enterprise Application Architecture';
$document->author = 'Martin Fowler';
$document->type = 'hardcover';
$document->isbn = [
    '978-0321127426',
    '0321127420'
];

You can also create a Document from an array

use DocumentStore\Document;

$document = new Document([
    'title' => 'Patterns of Enterprise Application Architecture',
    'author' => 'Martin Fowler',
    'type' => 'hardcover',
    'isbn' => [
        '978-0321127426',
        '0321127420'
    ]
]);

The Document object can also be accessed as an array

echo $document['title'];
$document['description'] = null;
unset($document['something']);

Set

To add a Document to the DocumentStore

use DocumentStore\DocumentStore;
use DocumentStore\Document;

$store = new DocumentStore(storage_path('books'));

$document = new Document();
$document->title = 'Patterns of Enterprise Application Architecture';
$document->author = 'Martin Fowler';
$document->type = 'hardcover';
$document->isbn = [
    '978-0321127426',
    '0321127420'
];

$store->set('0321127420', $document);

You can also group Documents using a prefixes (as many levels) which organizes the Documents into folders.

$store->set('programming/0321127420', $document);

Get

To get a Document from the DocumentStore

use DocumentStore\DocumentStore;
$store = new DocumentStore(storage_path('books'));

$document = $store->get('0321127420');

echo $document->title;

To get a Document with a prefix

$document = $store->get('programming/0321127420');

Has

To check a Document exists

use DocumentStore\DocumentStore;
$store = new DocumentStore(storage_path('books'));

$result = $store->has('0321127420');

To check a Document with a prefix

$store->has('programming/0321127420');

Delete

To delete a Document from the DocumentStore

use DocumentStore\DocumentStore;
$store = new DocumentStore(storage_path('books'));

$store->delete('0321127420');

To delete a Document with a prefix

$store->delete('programming/0321127420');

List

To list Documents in the DocumentStore

use DocumentStore\DocumentStore;
$store = new DocumentStore(storage_path('books'));

$list = $store->list(); // ['programming/0321127420']
$list = $store->list('programming'); // ['programming/0321127420']

Document

Key

If you are working a Document that was stored in the DocumentStore, you can use the key method to get the key that was used. This is handy for when working with search results from find first or find all.

$key = $document->key();

To Array

To convert the Document into an array

$document->toArray();

To Json

To convert the Document into a JSON string

$document->toJson();
$document->toJson(['pretty' => true]);

Searching

You can also search Documents in the DocumentStore, this is a file based searched . So if you have 100,000s of Documents in a prefix or regularly perform large amounts of searches and speed is an issue, maybe an indexing software like Elasticsearch or Solr might be worth looking at.

Keys

To get a list a keys that match a set of conditions (see below). There are also finders, which are detailed after conditions.

use DocumentStore\DocumentStore;
$store = new DocumentStore(storage_path('books'));

$list = $store->search([
    'conditions' => ['author' => 'Dean Koontz'],
    'prefix' => 'fiction/horror', // optional
    'limit' => 10,  // limit the number of results
]);

The following options can be passed

  • prefix: to search a given prefix e.g. computers/development
  • conditions: an array of conditions
  • limit: the maximum number of results to find
  • offset: the offset from which matching record to find. This is handy when you want to paginate results using limit

Fields

You can search different fields using the dot notation, and you can searched nested data as well.

Lets say you have this data

{
    "name": "Tony Stark",
    "emails": [
        "tony@stark.com"
    ],
    "addreses": [
        {
            "street": "1000 malibu drive",
            "state": "california",
            "country": "US"
        },
        {
            "street": "25 corp road",
            "state": "california",
            "country": "US"
        }
    ],
    "status": "new"
}

Here are some examples how to search the the different levels of fields;

$conditions = [
    'name' => 'Tony Stark' // searches string
    'emails' => 'tony@stark.com', // searches data array
    'addresses.street' => '1000 malibu drive' // searches the street fields in addresses etc
];

Conditions

Here are some examples on the different search conditions

Equals

You can check single or multiple values (IN)

$conditions = ['author' => 'Dean Koontz']
$conditions = ['author' => ['Steven King','Dean Koontz']

Not Equals

You can check single or multiple values (NOT IN)

$conditions = ['author !=' => 'Dean Koontz']
$conditions = ['author !=' => ['Steven King','Dean Koontz']]

Arithmetic

To check field values, such as greater, less than etc.

$conditions = ['age >' 21];
$conditions = ['age >=' 21];
$conditions = ['age <' 50];
$conditions = ['age <=' 50];

Like

You can use SQL LIKE and NOT LIKES using the wildcard % for any chars or _ for just one character, this is a case insensitive search.

 $conditions = ['authors.name LIKE' =>'Tony%'];
 $conditions = ['author.name NOT LIKE' =>'%T_m%'];

Finders

You can use the key method on any document found using first or all to find what key was used to save that Document.

First

To find the first Document that matches a set of conditions

$result = $store->find('first', [
    'conditions' => [
        'author' => ['Mark Minervini']
    ],
]);
/*
DocumentStore\Document Object
(
    [_id] => 5f730fd6ed12968109f89d0d
    [title] => Trade Like a Stock Market Wizard: How to Achieve Super Performance in Stocks in Any Market
    [author] => Mark Minervini
)
*/

All

To find all Documents that match a set of conditions

$result = $store->find('all', [
    'conditions' => [
        'author' => ['Mark Minervini']
    ],
    'limit' => 2,
]);
/*
Array
(
    [0] => DocumentStore\Document Object
        (
            [_id] => 5f730fd6ed12968109f89d0d
            [title] => Trade Like a Stock Market Wizard: How to Achieve Super Performance in Stocks in Any Market
            [author] => Mark Minervini
        )
    [1] => DocumentStore\Document Object
        (
            [_id] => 5f730fde23b43a7800f7da25
            [title] => Mindset Secrets for Winning: How to Bring Personal Power to Everything You Do
            [author] => Mark Minervini
        )
)
*/

Count

If you only want the count then use this but if you want the count and records, count the results manually from search or the all finder, to prevent repetitive and pointless searching on the hard drive.

To find a count Documents that match a set of conditions

$count = $store->find('count', [
    'conditions' => [
        'author' => ['Mark Minervini']
    ],
]); // 3

Document Database

There is a DocumentDatabase adapter which uses the DocumentStore as the backend, but makes it work similar to a database, such as generating keys, saving multiple records etc.

Insert

Insert first generates a unique ID, adds an _id field to the Document, then adds this to the DocumentStore using the ID as the key.

use DocumentStore\DocumentDatabase;
use DocumentStore\Document;

$db = new DocumentDatabase(storage_path('books'));

$document = new Document();
$document->title = 'Patterns of Enterprise Application Architecture';
$document->author = 'Martin Fowler';
$document->type = 'hardcover';
$document->isbn = '0321127420';

$db->insert($document);

/*
DocumentStore\Document Object
(
    [_id] => 5f70951f2c7d2d8ba290f708
    [title] => Patterns of Enterprise Application Architecture
    [author] => Martin Fowler
    [type] => hardcover
    [isbn] => 0321127420
)
*/

You can also insert into a particular path

$db->insert($document, [
    'prefix' => 'computing/programming'
]); // computing/programming/5f70951f2c7d2d8ba290f708

There is also an insertMany method

$db->insertMany([$document]);

Update

When you are working with Documents that have already been saved in the DocumentDatabase, and have an _id field you can save any changes using the update method.

$db->update($document);

There is also an updateMany method

$db->updateMany([$document]);

jamielsharief/document-store 适用场景与选型建议

jamielsharief/document-store 是一款 基于 PHP 开发的 Composer 扩展包,目前已累计 300 次下载、GitHub Stars 达 4, 最近一次更新时间为 2020 年 09 月 28 日, 在 PHP 生态内属于活跃度较高的组件。

它主要适用于以下技术方向: 「nosql」 「database」 「json」 「flatfile」 等业务场景。在实际项目中,围绕这些方向常见需要落地的问题包括:接口对接、性能调优、并发安全、与既有框架(Laravel / ThinkPHP / Yii / Webman 等)的兼容适配,以及生产环境的日志埋点与稳定性保障。

我们在过去多个企业项目中使用过 jamielsharief/document-store 或与其功能相近的方案,如果你在选型或落地过程中遇到问题,例如 版本兼容、二次改造、私有化封装、与内部系统对接、生产 BUG 排查,欢迎联系我们协助评估。

围绕 jamielsharief/document-store 我们能提供哪些服务?
定制开发 / 二次开发

基于 jamielsharief/document-store 在你已有业务上做功能扩展、字段裁剪、UI 适配、与内部账号 / 权限 / 日志系统的深度对接。

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线上偶发问题、内存泄漏、慢查询、并发异常等排查修复;针对高流量场景做缓存、队列、索引层面的调优。

项目外包 & 长期维护

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统计信息

  • 总下载量: 300
  • 月度下载量: 0
  • 日度下载量: 0
  • 收藏数: 4
  • 点击次数: 7
  • 依赖项目数: 1
  • 推荐数: 0

GitHub 信息

  • Stars: 4
  • Watchers: 2
  • Forks: 0
  • 开发语言: PHP

其他信息

  • 授权协议: MIT
  • 更新时间: 2020-09-28