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# Log penyelesaian pekerjaan di AWS PCS
Log penyelesaian pekerjaan memberi Anda detail penting tentang pekerjaan AWS Parallel Computing Service (AWS PCS) Anda saat selesai, tanpa biaya tambahan. Anda dapat menggunakan AWS layanan lain untuk mengakses dan memproses data log Anda, seperti Amazon CloudWatch Logs, Amazon Simple Storage Service (Amazon S3), dan Amazon Data Firehose AWS ; PCS merekam metadata tentang pekerjaan Anda, seperti berikut ini.
+ ID dan nama Job
+ Informasi pengguna dan grup
+ Status pekerjaan (seperti`COMPLETED`,`FAILED`,`CANCELLED`)
+ Partisi yang digunakan
+ Batas waktu
+ Mulai, akhiri, kirim, dan waktu yang memenuhi syarat
+ Daftar dan hitungan simpul
+ Jumlah prosesor
+ Direktori kerja
+ Penggunaan sumber daya (CPU, memori)
+ Kode keluar
+ Detail simpul (nama, contoh IDs, jenis contoh)
**Contents**
+ [Prasyarat](#monitoring_job-completion-logs_prereqs)
+ [Siapkan log penyelesaian pekerjaan](#monitoring_job-completion-logs_setup)
+ [Cara menemukan log penyelesaian pekerjaan](#monitoring_job-completion-logs_access)
+ [CloudWatch Log](#monitoring_job-completion-logs_access_cloudwatch)
+ [Amazon S3](#monitoring_job-completion-logs_access_s3)
+ [Bidang log penyelesaian pekerjaan](#monitoring_job-completion-logs_fields)
+ [Contoh log penyelesaian pekerjaan](#monitoring_job-completion-logs_example)
## Prasyarat
Prinsipal IAM yang mengelola cluster AWS PCS harus memungkinkan `pcs:AllowVendedLogDeliveryForResource` tindakan.
Contoh berikut kebijakan IAM memberikan izin yang diperlukan.
------
#### [ JSON ]
****
```
{
"Version":"2012-10-17",
"Statement": [
{
"Sid": "PcsAllowVendedLogsDelivery",
"Effect": "Allow",
"Action": ["pcs:AllowVendedLogDeliveryForResource"],
"Resource": [
"arn:aws:pcs:*::cluster/*"
]
}
]
}
```
------
## Siapkan log penyelesaian pekerjaan
Anda dapat mengatur log penyelesaian pekerjaan untuk klaster AWS PCS Anda dengan Konsol Manajemen AWS atau AWS CLI.
------
#### [ Konsol Manajemen AWS ]
**Untuk menyiapkan log penyelesaian pekerjaan dengan konsol**
1. Buka [konsol AWS PCS](https://console.aws.amazon.com/pcs).
1. Pada panel navigasi, silakan pilih **Klaster**.
1. Pilih cluster tempat Anda ingin menambahkan log penyelesaian pekerjaan.
1. Pada halaman detail cluster, pilih tab **Log**.
1. Di bawah **Log Penyelesaian Pekerjaan**, pilih **Tambah** untuk menambahkan hingga 3 tujuan pengiriman log dari antara CloudWatch Log, Amazon S3, dan Firehose.
1. Pilih **Perbarui pengiriman log**.
------
#### [ AWS CLI ]
**Untuk mengatur log penyelesaian pekerjaan dengan AWS CLI**
1. Buat tujuan pengiriman log:
```
aws logs put-delivery-destination --region region \
--name pcs-logs-destination \
--delivery-destination-configuration \
destinationResourceArn=resource-arn
```
Ganti:
+ *region*— Wilayah AWS Tempat Anda ingin membuat tujuan, seperti `us-east-1`
+ *pcs-logs-destination*— Nama untuk tujuan
+ *resource-arn*— Nama Sumber Daya Amazon (ARN) dari grup CloudWatch log Log, bucket S3, atau aliran pengiriman Firehose.
Untuk informasi selengkapnya, lihat [PutDeliveryDestination](https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_PutDeliveryDestination.html)di *Referensi API Amazon CloudWatch Logs*.
1. Tetapkan cluster PCS sebagai sumber pengiriman log:
```
aws logs put-delivery-source --region region \
--name cluster-logs-source-name \
--resource-arn cluster-arn \
--log-type PCS_JOBCOMP_LOGS
```
Ganti:
+ *region*— Wilayah AWS Cluster Anda, seperti `us-east-1`
+ *cluster-logs-source-name*— Nama untuk sumbernya
+ *cluster-arn*— ARN dari cluster PCS Anda AWS
Untuk informasi selengkapnya, lihat [PutDeliverySource](https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_PutDeliverySource.html)di *Referensi API Amazon CloudWatch Logs*.
1. Hubungkan sumber pengiriman ke tujuan pengiriman:
```
aws logs create-delivery --region region \
--delivery-source-name cluster-logs-source \
--delivery-destination-arn destination-arn
```
Ganti:
+ *region*— yang Wilayah AWS, seperti `us-east-1`
+ *cluster-logs-source*— Nama sumber pengiriman Anda
+ *destination-arn*— ARN tujuan pengiriman Anda
Untuk informasi selengkapnya, lihat [CreateDelivery](https://docs.aws.amazon.com/AmazonCloudWatchLogs/latest/APIReference/API_CreateDelivery.html)di *Referensi API Amazon CloudWatch Logs*.
------
## Cara menemukan log penyelesaian pekerjaan
Anda dapat mengonfigurasi tujuan log di CloudWatch Log dan Amazon S3. AWS PCS menggunakan nama jalur terstruktur berikut dan nama file.
### CloudWatch Log
AWS PCS menggunakan format nama berikut untuk aliran CloudWatch Log:
```
AWSLogs/PCS/cluster-id/jobcomp.log
```
Misalnya: `AWSLogs/PCS/pcs_abc123de45/jobcomp.log`
### Amazon S3
AWS PCS menggunakan format nama berikut untuk jalur S3:
```
AWSLogs/account-id/PCS/region/cluster-id/jobcomp/year/month/day/hour/
```
Misalnya: `AWSLogs/111122223333/PCS/us-east-1/pcs_abc123de45/jobcomp/2025/06/19/11/`
AWS PCS menggunakan format nama berikut untuk file log:
```
PCS_jobcomp_year-month-day-hour_cluster-id_random-id.log.gz
```
Misalnya: `PCS_jobcomp_2025-06-19-11_pcs_abc123de45_04be080b.log.gz`
## Bidang log penyelesaian pekerjaan
AWS PCS menulis data log penyelesaian pekerjaan sebagai objek JSON. Wadah JSON `jobcomp` menyimpan detail pekerjaan. Tabel berikut menjelaskan bidang di dalam `jobcomp` wadah. Beberapa bidang hanya ada dalam keadaan tertentu, seperti untuk pekerjaan array atau pekerjaan heterogen.
**Bidang log penyelesaian pekerjaan**
| Nama | Nilai contoh | Diperlukan | Catatan |
| --- | --- | --- | --- |
| job\$1id | 11 | Ya | Selalu hadir dengan nilai |
| user | "root" | Ya | Selalu hadir dengan nilai |
| user\$1id | 0 | Ya | Selalu hadir dengan nilai |
| group | "root" | Ya | Selalu hadir dengan nilai |
| group\$1id | 0 | Ya | Selalu hadir dengan nilai |
| name | "wrap" | Ya | Selalu hadir dengan nilai |
| job\$1state | "COMPLETED" | Ya | Selalu hadir dengan nilai |
| partition | "Hydra-MpiQueue-abcdef01-7" | Ya | Selalu hadir dengan nilai |
| time\$1limit | "UNLIMITED" | Ya | Selalu hadir, tapi mungkin "UNLIMITED" |
| start\$1time | "2025-06-19T10:58:57" | Ya | Selalu hadir, tapi mungkin "Unknown" |
| end\$1time | "2025-06-19T10:58:57" | Ya | Selalu hadir, tapi mungkin "Unknown" |
| node\$1list | "Hydra-MpiNG-abcdef01-2345-1" | Ya | Selalu hadir dengan nilai |
| node\$1cnt | 1 | Ya | Selalu hadir dengan nilai |
| proc\$1cnt | 1 | Ya | Selalu hadir dengan nilai |
| work\$1dir | "/root" | Ya | Selalu hadir, tapi mungkin "Unknown" |
| reservation\$1name | "weekly\$1maintenance" | Ya | Selalu hadir, tetapi mungkin string kosong "" |
| tres.cpu | 1 | Ya | Selalu hadir dengan nilai |
| tres.mem.val | 600 | Ya | Selalu hadir dengan nilai |
| tres.mem.unit | "M" | Ya | Bisa "M" atau "bb" |
| tres.node | 1 | Ya | Selalu hadir dengan nilai |
| tres.billing | 1 | Ya | Selalu hadir dengan nilai |
| account | "finance" | Ya | Selalu hadir, tetapi mungkin string kosong "" |
| qos | "normal" | Ya | Selalu hadir, tetapi mungkin string kosong "" |
| wc\$1key | "project\$11" | Ya | Selalu hadir, tetapi mungkin string kosong "" |
| cluster | "unknown" | Ya | Selalu hadir, tapi mungkin "unknown" |
| submit\$1time | "2025-06-19T10:55:46" | Ya | Selalu hadir, tapi mungkin "Unknown" |
| eligible\$1time | "2025-06-19T10:55:46" | Ya | Selalu hadir, tapi mungkin "Unknown" |
| array\$1job\$1id | 12 | tidak | Hanya hadir jika pekerjaan itu adalah pekerjaan array |
| array\$1task\$1id | 1 | tidak | Hanya hadir jika pekerjaan itu adalah pekerjaan array |
| het\$1job\$1id | 10 | tidak | Hanya hadir jika pekerjaan itu adalah pekerjaan yang heterogen |
| het\$1job\$1offset | 0 | tidak | Hanya hadir jika pekerjaan itu adalah pekerjaan yang heterogen |
| derived\$1exit\$1code\$1status | 0 | Ya | Selalu hadir dengan nilai |
| derived\$1exit\$1code\$1signal | 0 | Ya | Selalu hadir dengan nilai |
| exit\$1code\$1status | 0 | Ya | Selalu hadir dengan nilai |
| exit\$1code\$1signal | 0 | Ya | Selalu hadir dengan nilai |
| node\$1details[0].name | "Hydra-MpiNG-abcdef01-2345-1" | tidak | Selalu hadir, tapi node\$1details mungkin "[]" |
| node\$1details[0].instance\$1id | "i-0abcdef01234567a" | tidak | Selalu hadir, tapi node\$1details mungkin "[]" |
| node\$1details[0].instance\$1type | "t4g.micro" | tidak | Selalu hadir, tapi node\$1details mungkin "[]" |
## Contoh log penyelesaian pekerjaan
Contoh berikut menunjukkan log penyelesaian pekerjaan untuk berbagai jenis dan status pekerjaan:
```
{ "jobcomp": { "job_id": 1, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T16:32:57", "end_time": "2025-06-19T16:33:03", "node_list": "Hydra-MpiNG-abcdef01-2345-[1-2]", "node_cnt": 2, "proc_cnt": 2, "work_dir": "/usr/bin", "reservation_name": "", "tres": { "cpu": 2, "mem": { "val": 1944, "unit": "M" }, "node": 2, "billing": 2 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T16:29:40", "eligible_time": "2025-06-19T16:29:41", "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc123def45678", "instance_type": "t4g.micro" }, { "name": "Hydra-MpiNG-abcdef01-2345-2", "instance_id": "i-0def456abc78901", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 2, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T16:33:13", "end_time": "2025-06-19T16:33:14", "node_list": "Hydra-MpiNG-abcdef01-2345-[1-2]", "node_cnt": 2, "proc_cnt": 2, "work_dir": "/usr/bin", "reservation_name": "", "tres": { "cpu": 2, "mem": { "val": 1944, "unit": "M" }, "node": 2, "billing": 2 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T16:33:13", "eligible_time": "2025-06-19T16:33:13", "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc123def45678", "instance_type": "t4g.micro" }, { "name": "Hydra-MpiNG-abcdef01-2345-2", "instance_id": "i-0def456abc78901", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 3, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T22:58:57", "end_time": "2025-06-19T22:58:57", "node_list": "Hydra-MpiNG-abcdef01-2345-1", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 972, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T22:55:46", "eligible_time": "2025-06-19T22:55:46", "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc234def56789", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 4, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "525600", "start_time": "2025-06-19T23:04:27", "end_time": "2025-06-19T23:04:27", "node_list": "Hydra-MpiNG-abcdef01-2345-[1-2]", "node_cnt": 2, "proc_cnt": 2, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 2, "mem": { "val": 1944, "unit": "M" }, "node": 2, "billing": 2 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:01:38", "eligible_time": "2025-06-19T23:01:38", "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc234def56789", "instance_type": "t4g.micro" }, { "name": "Hydra-MpiNG-abcdef01-2345-2", "instance_id": "i-0def345abc67890", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 5, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "FAILED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:09:00", "end_time": "2025-06-19T23:09:00", "node_list": "(null)", "node_cnt": 0, "proc_cnt": 0, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 1, "unit": "G" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:09:00", "eligible_time": "2025-06-19T23:09:00", "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 1, "node_details": [] } }
{ "jobcomp": { "job_id": 6, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "CANCELLED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:09:36", "end_time": "2025-06-19T23:09:36", "node_list": "(null)", "node_cnt": 0, "proc_cnt": 0, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 400, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:09:35", "eligible_time": "2025-06-19T23:09:36", "het_job_id": 6, "het_job_offset": 0, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 1, "node_details": [] } }
{ "jobcomp": { "job_id": 7, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "CANCELLED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:10:03", "end_time": "2025-06-19T23:10:03", "node_list": "(null)", "node_cnt": 0, "proc_cnt": 0, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 400, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:10:03", "eligible_time": "2025-06-19T23:10:03", "het_job_id": 7, "het_job_offset": 0, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 1, "node_details": [] } }
{ "jobcomp": { "job_id": 8, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:11:24", "end_time": "2025-06-19T23:11:24", "node_list": "Hydra-MpiNG-abcdef01-2345-1", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 400, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:11:23", "eligible_time": "2025-06-19T23:11:23", "het_job_id": 8, "het_job_offset": 0, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc234def56789", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 9, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:11:24", "end_time": "2025-06-19T23:11:24", "node_list": "Hydra-MpiNG-abcdef01-2345-2", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 400, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:11:23", "eligible_time": "2025-06-19T23:11:23", "het_job_id": 8, "het_job_offset": 1, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-2", "instance_id": "i-0def345abc67890", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 10, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:12:24", "end_time": "2025-06-19T23:12:24", "node_list":"Hydra-MpiNG-abcdef01-2345-1", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 400, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:12:14", "eligible_time": "2025-06-19T23:12:14", "het_job_id": 10, "het_job_offset": 0, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc234def56789", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 11, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:12:24", "end_time": "2025-06-19T23:12:24", "node_list":"Hydra-MpiNG-abcdef01-2345-2", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 600, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:12:14", "eligible_time": "2025-06-19T23:12:14", "het_job_id": 10, "het_job_offset": 1, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-2", "instance_id": "i-0def345abc67890", "instance_type": "t4g.micro" } ] } }
{ "jobcomp": { "job_id": 13, "user": "root", "user_id": 0, "group": "root", "group_id": 0, "name": "wrap", "job_state": "COMPLETED", "partition": "Hydra-MpiQueue-abcdef01-7", "time_limit": "UNLIMITED", "start_time": "2025-06-19T23:47:57", "end_time": "2025-06-19T23:47:58", "node_list":"Hydra-MpiNG-abcdef01-2345-1", "node_cnt": 1, "proc_cnt": 1, "work_dir": "/root", "reservation_name": "", "tres": { "cpu": 1, "mem": { "val": 972, "unit": "M" }, "node": 1, "billing": 1 }, "account": "", "qos": "", "wc_key": "", "cluster": "unknown", "submit_time": "2025-06-19T23:43:56", "eligible_time": "2025-06-19T23:43:56" , "array_job_id": 12, "array_task_id": 1, "derived_exit_code_status": 0, "derived_exit_code_signal": 0, "exit_code_status": 0, "exit_code_signal": 0, "node_details": [ { "name": "Hydra-MpiNG-abcdef01-2345-1", "instance_id": "i-0abc345def67890", "instance_type": "t4g.micro" } ] } }
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```