Tetap teratur dengan koleksi
Simpan dan kategorikan konten berdasarkan preferensi Anda.
Halaman ini menjelaskan jenis plugin yang diinstal secara default saat Anda membuat instance Cloud Data Fusion. Plugin ini tersedia di
namespace default di instance Anda, dan namespace baru yang Anda buat. Anda
dapat mendownload plugin tambahan dari Hub.
Plugin memiliki kategori berikut di Cloud Data Fusion. Panel ini muncul di panel kiri di halaman Studio Cloud Data Fusion.
Sumber
Plugin sumber terhubung ke database, file, atau streaming real-time tempat
pipeline Anda membaca data. Anda menyiapkan sumber untuk pipeline data menggunakan antarmuka
web, sehingga Anda tidak perlu menggunakan kode untuk mengonfigurasi koneksi tingkat rendah.
Transformasi
Plugin transformasi mengubah data setelah dimuat dari sumber. Misalnya, Anda dapat menggunakan plugin ini untuk meng-clone data, mengubah format file menjadi
JSON, atau membuat transformasi kustom menggunakan JavaScript.
Analytics
Plugin analisis melakukan agregasi, seperti menggabungkan data dari berbagai sumber dan menjalankan operasi analisis dan machine learning.
Sink
Plugin sink menulis data ke resource, seperti Cloud Storage, BigQuery, Spanner, database relasional, sistem file, dan mainframe. Anda dapat membuat kueri data yang ditulis ke sink menggunakan antarmuka web Cloud Data Fusion atau REST API.
Kondisi dan tindakan
Plugin kondisi dan tindakan menjadwalkan tindakan yang terjadi selama alur kerja,
tetapi tidak langsung memanipulasi data dalam alur kerja.
Contoh kasus penggunaan:
Jadwalkan perintah database untuk dijalankan di akhir pipeline dengan menambahkan plugin tindakan Database ke pipeline Anda.
Picu tindakan yang memindahkan file dalam Cloud Storage dengan menambahkan plugin File Move ke pipeline Anda.
Pengendali dan pemberitahuan error
Saat tahap pipeline mengalami nilai null, error logis, atau error
lainnya, plugin pengendali error akan menangkapnya. Gunakan plugin ini untuk menemukan error dalam
output setelah plugin transformasi atau analisis di pipeline Anda. Anda dapat menulis
error ke database untuk dianalisis.
[[["Mudah dipahami","easyToUnderstand","thumb-up"],["Memecahkan masalah saya","solvedMyProblem","thumb-up"],["Lainnya","otherUp","thumb-up"]],[["Sulit dipahami","hardToUnderstand","thumb-down"],["Informasi atau kode contoh salah","incorrectInformationOrSampleCode","thumb-down"],["Informasi/contoh yang saya butuhkan tidak ada","missingTheInformationSamplesINeed","thumb-down"],["Masalah terjemahan","translationIssue","thumb-down"],["Lainnya","otherDown","thumb-down"]],["Terakhir diperbarui pada 2025-09-04 UTC."],[[["\u003cp\u003eCloud Data Fusion instances come with default plugins available across all namespaces.\u003c/p\u003e\n"],["\u003cp\u003ePlugins in Cloud Data Fusion are categorized into Source, Transform, Analytics, Sink, and Conditions/Actions.\u003c/p\u003e\n"],["\u003cp\u003eSource plugins are for reading data, Transform plugins are for changing data, Analytics plugins are for aggregations, and Sink plugins are for writing data to resources.\u003c/p\u003e\n"],["\u003cp\u003eCondition and action plugins are used for scheduling actions during a workflow, without directly manipulating the data.\u003c/p\u003e\n"],["\u003cp\u003eError handlers and alerts capture errors in pipelines, allowing for the errors to be written to a database for further analysis.\u003c/p\u003e\n"]]],[],null,["# Types of plugins\n\nThis page explains the types of plugins that are installed by default when you\ncreate a Cloud Data Fusion instance. These plugins are available in the\ndefault namespace in your instance, and any new namespaces that you create. You\ncan download additional plugins from [Hub](/data-fusion/docs/how-to/deploy-a-plugin).\n\nPlugins have the following categories in Cloud Data Fusion. They appear on\nthe left-hand panel in the Cloud Data Fusion **Studio** page.\n\nSource\n------\n\nSource plugins connect to databases, files, or real-time streams where your\npipeline reads data. You set up sources for a data pipeline using the web\ninterface, so you don't have to use code to configure low-level connections.\n\nTransform\n---------\n\nTransformation plugins change data after it's loaded from a source. For\nexample, you can use these plugins to clone a record, change the file format to\nJSON, or create a custom transformation using JavaScript.\n\nAnalytics\n---------\n\nAnalytics plugins perform aggregations, such as joining data from different\nsources and running analytics and machine learning operations.\n\nSink\n----\n\nSink plugins write data to resources, such as Cloud Storage,\nBigQuery, Spanner, relational databases, file systems, and\nmainframes. You can query the data that gets written to the sink using the\nCloud Data Fusion web interface or REST API.\n\nConditions and actions\n----------------------\n\nCondition and action plugins schedule actions that take place during a workflow,\nbut don't directly manipulate data in the workflow.\n\nExample use cases:\n\n- Schedule a database command to run at the end of your pipeline by adding the Database action plugin to your pipeline.\n- Trigger an action that moves files within Cloud Storage by adding the File Move plugin to your pipeline.\n\nError handlers and alerts\n-------------------------\n\nWhen stages of the pipeline encounter null values, logical errors, or other\nerrors, error handler plugins catch them. Use these plugins to find errors in\nthe output after a transform or analytics plugin in your pipeline. You can write\nthe errors to a database for analysis.\n\nWhat's next\n-----------\n\n- Learn how to [deploy a plugin from the Cloud Data Fusion Hub](/data-fusion/docs/how-to/deploy-a-plugin)."]]
