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Diagram metrik I/O menggunakan kode error kanonis.
Jika kode error ini terus muncul di sumber dan sink, lihat daftar berikut untuk mengetahui kemungkinan penyebab dan tindakan yang dapat Anda lakukan.
RESOURCE_EXHAUSTED. Project mungkin kehabisan kuota resource untuk layanan yang digunakan sumber atau sink.
Jika error terjadi sesekali atau saat diagram Permintaan per detik menunjukkan volume permintaan yang tinggi, hal ini mungkin menunjukkan bahwa Anda telah mencapai kuota pembatasan kapasitas API dan perlu meningkatkan kuota.
DEADLINE_EXCEEDED. Sumber atau sink mungkin kehabisan waktu saat membaca atau menulis batch data yang besar. Periksa diagram latensi dan log pekerja. Jika error terus berlanjut, hubungi dukungan.
INVALID_ARGUMENT. Parameter yang ditentukan ke sumber atau sink mungkin salah format (seperti topik Pub/Sub). Periksa konfigurasi sumber atau sink, dan periksa log pekerja.
FAILED_PRECONDITION. Periksa konfigurasi sumber atau sink, dan periksa log pekerja. Hal ini juga dapat menunjukkan bug.
OUT_OF_RANGE. Pastikan resource yang digunakan oleh sumber atau sink ada (seperti topik atau langganan Pub/Sub).
NOT_FOUND. Pastikan entitas yang digunakan oleh sumber atau sink ada (seperti topik atau langganan Pub/Sub).
ABORTED. Layanan mungkin tidak menangani sumber atau sink dengan benar saat mencoba membaca atau menulis data. Jika error terus berlanjut, hubungi dukungan.
ALREADY_EXISTS. I/O mungkin mencoba membuat entitas yang sudah ada (seperti topik atau langganan Pub/Sub). Jika error terus berlanjut, hubungi dukungan.
CANCELLED. Hal ini dapat terjadi saat pekerja Dataflow dimatikan atau logika sumber atau sink sengaja memutuskan untuk membatalkan upaya membaca atau menulis data.
DATALOSS. Menunjukkan bahwa terjadi kerusakan atau kehilangan data yang tidak dapat dipulihkan. Anda mungkin ingin membuat set data baru untuk sumber dan menjalankan ulang tugas Dataflow.
Anda mungkin juga melihat apakah ada petunjuk pencadangan dan pemulihan yang tersedia untuk layanan Google Cloud dasar.
UNIMPLEMENTED. Sumber atau sink mencoba menggunakan layanan dengan cara yang tidak valid. Pipeline Anda mungkin salah dikonfigurasi. Jika error terus berlanjut, hubungi dukungan.
[[["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\u003eI/O metric charts utilize canonical error codes, and if these codes persist, this document provides potential causes and actions to resolve them.\u003c/p\u003e\n"],["\u003cp\u003eErrors such as \u003ccode\u003eRESOURCE_EXHAUSTED\u003c/code\u003e may indicate that the project has exceeded its resource quota or API rate limiting quota, which requires adjusting the quota.\u003c/p\u003e\n"],["\u003cp\u003eIssues like \u003ccode\u003eDEADLINE_EXCEEDED\u003c/code\u003e, \u003ccode\u003eINVALID_ARGUMENT\u003c/code\u003e, \u003ccode\u003eFAILED_PRECONDITION\u003c/code\u003e, and \u003ccode\u003eOUT_OF_RANGE\u003c/code\u003e typically involve checking the source/sink configuration, worker logs, or resource existence.\u003c/p\u003e\n"],["\u003cp\u003e\u003ccode\u003eUNAUTHENTICATED\u003c/code\u003e and \u003ccode\u003ePERMISSION_DENIED\u003c/code\u003e errors suggest that the Dataflow service account lacks necessary Identity and Access Management permissions or the relevant APIs aren't enabled.\u003c/p\u003e\n"],["\u003cp\u003eErrors like \u003ccode\u003eUNKNOWN\u003c/code\u003e, \u003ccode\u003eINTERNAL\u003c/code\u003e, or \u003ccode\u003eUNAVAILABLE\u003c/code\u003e suggest the service might be down, and users should check the Cloud Status Dashboard for updates.\u003c/p\u003e\n"]]],[],null,["# Input and output error codes\n\nThe I/O metric charts use [canonical error codes](/apis/design/errors#handling_errors).\nIf these error codes persist in your sources and sinks, refer to the following list for potential causes and actions you can take.\n\n- `RESOURCE_EXHAUSTED`. The project might have run out of [resource quota](/compute/quotas) for the service the source or sink is using.\n\n If the error occurs occasionally or when the **Requests per sec chart** indicates a high volume of requests being made, then this might indicate that you have reached an [API rate limiting quota](/service-infrastructure/docs/rate-limiting) and need to increase the quota.\n- `DEADLINE_EXCEEDED`. Source or sink might have timed out reading or writing a large batch of data. Check the latency chart and worker logs. If the error persists, [contact support](/support-hub).\n\n- `INVALID_ARGUMENT`. Parameters specified to the source or sink might be malformed (such as a Pub/Sub topic). Check configuration of the source or sink, and check the worker logs.\n\n- `FAILED_PRECONDITION`. Check configuration of the source or sink, and check the worker logs. This could also indicate a bug.\n\n- `OUT_OF_RANGE`. Check that the resource being used by the source or sink exists (such as a Pub/Sub topic or subscription).\n\n- `UNAUTHENTICATED`. Check that the [Dataflow service account](/dataflow/docs/concepts/security-and-permissions#cloud_dataflow_service_account) has [Identity and Access Management](/resource-manager/docs/access-control-org) permissions to the specific service and relevant [APIs are enabled](/endpoints/docs/openapi/enable-api) for the project.\n\n- `PERMISSION_DENIED`. Check that the [Dataflow service account](/dataflow/docs/concepts/security-and-permissions#cloud_dataflow_service_account) has [Identity and Access Management](/resource-manager/docs/access-control-org) permissions to the specific service and relevant [APIs are enabled](/endpoints/docs/openapi/enable-api) for the project.\n\n- `NOT_FOUND`. Check that the entities being used by the source or sink exist (such as a Pub/Sub topic or subscription).\n\n- `ABORTED`. Service might not be properly handling the source or sinks attempts to read or write data. If the error persists, [contact support](/support-hub).\n\n- `ALREADY_EXISTS`. I/O might be trying to create an entity which already exists (such as a Pub/Sub topic or subscription). If the error persists, [contact support](/support-hub).\n\n- `CANCELLED`. This can occur when a Dataflow worker is shut down or source or sink logic intentionally decides to cancel attempts to read or write data.\n\n- `DATALOSS`. Indicates unrecoverable data loss or corruption occurred. You might want to create a new dataset for your sources and rerun the Dataflow job.\n\n You might also see if there are any backup and restoring instructions available for the underlying Google Cloud service.\n- `UNKNOWN`. Service might be down. Check for updates on [Cloud Status Dashboard for more information](https://status.cloud.google.com/).\n\n- `INTERNAL`. Service might be down. Check for updates on [Cloud Status Dashboard for more information](https://status.cloud.google.com/).\n\n- `UNAVAILABLE`. Service might be down. Check for updates on [Cloud Status Dashboard for more information](https://status.cloud.google.com/).\n\n- `UNIMPLEMENTED`. The source or sink attempted to use the service in an invalid way. Your pipeline might be misconfigured. If the error persists, [contact support](/support-hub)."]]
