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It is not ultra-fast, it inserts like real data.\n\n## Important\n\n\u003e Don't forget to set _APP_OPTIONS_ABUSE=disabled for limitations such as reading and writing data. This setting is in the .env file\n\n```\n_APP_OPTIONS_ABUSE=disabled\n  ```\n\n\u003e After editing the .env file, you need to recreate the containers.\n  \n```sh\ndocker-compose up -d\n  ```\n\n\n### Setup your client\n\nYou should enter your endpoint and project IDs according to your own server information\n\n```js\nclient\n    .setEndpoint('https://localhost/v1') // Appwrite server endpoint\n    .setProject('XXXXXXXXXXXXXXX'); // Project ID\n  ```\n\n\n### Record Count\nYou can specify how many records to add\n```js\nconst  count  =  250000;\n```\n\n###  Schema\nRemember to set your data schema inside the loop. You should set it according to your own collection\n \n ```js\n ...\nlet dummyData =\n    {\n        title: \"Example Name \" + i,\n        description: \"Example Description\" + i,\n        content: \"Example Content\" + i,\n        enabled: i % 2 == 0 ? true : false,\n    };\n...\n```\n \n### Finally edit\nAnd finally add your databaseId and collectionId information here\n\n ```js\n ...\ndatabase.createDocument('XXXXXXXXXXXXXXX', 'XXXXXXXXXXXXXXXX', 'unique()', dummyData)\n...\n```\n\n\n\n\n### Now you can run the script\n\n ```ssh\nnpm install appwrite\nnpm run start\n```\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsafakb%2Fappwrite-dummy-data","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fsafakb%2Fappwrite-dummy-data","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fsafakb%2Fappwrite-dummy-data/lists"}