# -*- coding: utf-8 -*- # This file is auto-genera...

Créé le : 25 décembre 2025

Répondu en utilisant GPT-5.2 Thinking par Chat01

Question

-- coding: utf-8 --

This file is auto-generated, don't edit it. Thanks.

import os
import sys
import json

from typing import List

from alibabacloud_sls20201230.client import Client as Sls20201230Client
from alibabacloud_credentials.client import Client as CredentialClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient

class Sample:
def init(self):
pass

text
@staticmethod def create_client() -> Sls20201230Client: """ 使用凭据初始化账号Client @return: Client @throws Exception """ # 工程代码建议使用更安全的无AK方式,凭据配置方式请参见:https://help.aliyun.com/document_detail/378659.html。 credential = CredentialClient() config = open_api_models.Config( credential=credential ) # Endpoint 请参考 https://api.aliyun.com/product/Sls config.endpoint = f'cn-hangzhou.log.aliyuncs.com' return Sls20201230Client(config) @staticmethod def main( args: List[str], ) -> None: client = Sample.create_client() runtime = util_models.RuntimeOptions() headers = {} try: resp = client.list_shards_with_options('k8s-log-c080313797e524f98b37f23ea71dcd134', 'zhmle-registry-server', headers, runtime) print(json.dumps(resp, default=str, indent=2)) except Exception as error: # 此处仅做打印展示,请谨慎对待异常处理,在工程项目中切勿直接忽略异常。 # 错误 message print(error.message) # 诊断地址 print(error.data.get("Recommend")) @staticmethod async def main_async( args: List[str], ) -> None: client = Sample.create_client() runtime = util_models.RuntimeOptions() headers = {} try: resp = await client.list_shards_with_options_async('k8s-log-c080313797e524f98b37f23ea71dcd134', 'zhmle-registry-server', headers, runtime) print(json.dumps(resp, default=str, indent=2)) except Exception as error: # 此处仅做打印展示,请谨慎对待异常处理,在工程项目中切勿直接忽略异常。 # 错误 message print(error.message) # 诊断地址 print(error.data.get("Recommend"))

if name == 'main':
Sample.main(sys.argv[1:])
这个是shard查看的脚本,帮我写为批量查看project中的所有logstore,然后输出shard>1的logstore名称和shard数

Python

python
# Install package if missing import pkgutil, subprocess, sys, importlib, inspect, re, json, os pkg_name = "alibabacloud_sls20201230" if pkgutil.find_loader(pkg_name) is None: print("installing...") subprocess.check_call([sys.executable, "-m", "pip", "install", "-q", "alibabacloud-sls20201230"]) import alibabacloud_sls20201230 from alibabacloud_sls20201230.client import Client as SlsClient print("version", alibabacloud_sls20201230.__version__ if hasattr(alibabacloud_sls20201230, "__version__") else "unknown")

Python

python
import inspect, re methods = [m for m in dir(SlsClient) if "logstore" in m.lower() and "list" in m.lower()] methods[:50], len(methods) ([], 0)

Python

python
[m for m in dir(SlsClient) if m.startswith("list_")][:50] ['list_agent_instance_configs', 'list_agent_instance_configs_async', 'list_agent_instance_configs_with_options', 'list_agent_instance_configs_with_options_async', 'list_ai_tools', 'list_ai_tools_async', 'list_ai_tools_with_options', 'list_ai_tools_with_options_async', 'list_alerts', 'list_alerts_async', 'list_alerts_with_options', 'list_alerts_with_options_async', 'list_annotation_data', 'list_annotation_data_async', 'list_annotation_data_sets', 'list_annotation_data_sets_async', 'list_annotation_data_sets_with_options', 'list_annotation_data_sets_with_options_async', 'list_annotation_data_with_options', 'list_annotation_data_with_options_async', 'list_annotation_labels', 'list_annotation_labels_async', 'list_annotation_labels_with_options', 'list_annotation_labels_with_options_async', 'list_azure_blob_ingestion', 'list_azure_blob_ingestion_async', 'list_azure_blob_ingestion_with_options', 'list_azure_blob_ingestion_with_options_async', 'list_collection_policies', 'list_collection_policies_async', 'list_collection_policies_with_options', 'list_collection_policies_with_options_async', 'list_config', 'list_config_async', 'list_config_with_options', 'list_config_with_options_async', 'list_consume_processors', 'list_consume_processors_async', 'list_consume_processors_with_options', 'list_consume_processors_with_options_async', 'list_consumer_group', 'list_consumer_group_async', 'list_consumer_group_with_options', 'list_consumer_group_with_options_async', 'list_dashboard', 'list_dashboard_async', 'list_dashboard_with_options', 'list_dashboard_with_options_async', 'list_domains', 'list_domains_async']

Python

python
[m for m in dir(SlsClient) if "log_store" in m.lower() or "logstore" in m.lower()][:50], len([m for m in dir(SlsClient) if "log_store" in m.lower() or "logstore" in m.lower()]) (['create_log_store', 'create_log_store_async', 'create_log_store_with_options', 'create_log_store_with_options_async', 'delete_log_store', 'delete_log_store_async', 'delete_log_store_with_options', 'delete_log_store_with_options_async', 'get_log_store', 'get_log_store_async', 'get_log_store_metering_mode', 'get_log_store_metering_mode_async', 'get_log_store_metering_mode_with_options', 'get_log_store_metering_mode_with_options_async', 'get_log_store_with_options', 'get_log_store_with_options_async', 'list_log_stores', 'list_log_stores_async', 'list_log_stores_with_options', 'list_log_stores_with_options_async', 'update_log_store', 'update_log_store_async', 'update_log_store_encryption', 'update_log_store_encryption_async', 'update_log_store_encryption_with_options', 'update_log_store_encryption_with_options_async', 'update_log_store_metering_mode', 'update_log_store_metering_mode_async', 'update_log_store_metering_mode_with_options', 'update_log_store_metering_mode_with_options_async', 'update_log_store_processor', 'update_log_store_processor_async', 'update_log_store_processor_with_options', 'update_log_store_processor_with_options_async', 'update_log_store_with_options', 'update_log_store_with_options_async'], 36)

Python

python
[m for m in dir(SlsClient) if "log_stores" in m.lower()] ['list_log_stores', 'list_log_stores_async', 'list_log_stores_with_options', 'list_log_stores_with_options_async']

Python

python
import inspect sig = inspect.signature(SlsClient.list_log_stores) sig <Signature (self, project: str, request: alibabacloud_sls20201230.models.ListLogStoresRequest) -> alibabacloud_sls20201230.models.ListLogStoresResponse>

Python

python
inspect.signature(SlsClient.list_shards_with_options), inspect.signature(SlsClient.list_shards) (<Signature (self, project: str, logstore: str, headers: Dict[str, str], runtime: alibabacloud_tea_util.models.RuntimeOptions) -> alibabacloud_sls20201230.models.ListShardsResponse>, <Signature (self, project: str, logstore: str) -> alibabacloud_sls20201230.models.ListShardsResponse>)

Python

python
from alibabacloud_sls20201230 import models req_cls = models.ListLogStoresRequest inspect.signature(req_cls.__init__), [a for a in dir(req_cls) if a.startswith("set_")][:20] (<Signature (self, logstore_name: str = None, mode: str = None, offset: int = None, size: int = None, telemetry_type: str = None)>, [])

Python

python
req = models.ListLogStoresRequest() req.to_map() if hasattr(req, "to_map") else None, req.__dict__ ({}, {'logstore_name': None, 'mode': None, 'offset': None, 'size': None, 'telemetry_type': None})

Python

python
resp_cls = models.ListLogStoresResponse inspect.signature(resp_cls.__init__) <Signature (self, headers: Dict[str, str] = None, status_code: int = None, body: alibabacloud_sls20201230.models.ListLogStoresResponseBody = None)>

Python

python
body_cls = models.ListLogStoresResponseBody inspect.signature(body_cls.__init__), body_cls().__dict__ (<Signature (self, count: int = None, logstores: List[str] = None, total: int = None)>, {'count': None, 'logstores': None, 'total': None})

Python

python
import re shard_models = [n for n in dir(models) if "Shard" in n] shard_models[:50], len(shard_models) (['ListShardsResponse', 'MergeShardResponse', 'Shard', 'ShardingPolicy', 'ShardingPolicyShardGroup', 'ShardingPolicyShardHash', 'SplitShardRequest', 'SplitShardResponse'], 8)

Python

python
inspect.signature(models.ListShardsResponse.__init__), models.ListShardsResponse().__dict__ (<Signature (self, headers: Dict[str, str] = None, status_code: int = None, body: List[alibabacloud_sls20201230.models.Shard] = None)>, {'headers': None, 'status_code': None, 'body': None})

Python

python
import inspect inspect.signature(SlsClient.list_log_stores_with_options) <Signature (self, project: str, request: alibabacloud_sls20201230.models.ListLogStoresRequest, headers: Dict[str, str], runtime: alibabacloud_tea_util.models.RuntimeOptions) -> alibabacloud_sls20201230.models.ListLogStoresResponse>

Réflexion

Finalizing script considerations

I’m thinking of using with_options for all calls, passing in headers and runtime, but since list_shards doesn’t support headers, I'll use list_shards_with_options instead. I’ll note that if there are many logstores, rate limiting or delays can happen, and I could mention concurrency with ThreadPoolExecutor as optional. I’ll clean up the indentation that was off in their original script. Let's craft a final, user-friendly script in Chinese with explanations, including optional concurrency commented out, if helpful. I'll also make sure the environment variable config is in place, with the default endpoint. We'll ensure everything is ready!

Clarifying output structure and parameters

I'll include both the simple line format ("name, shard count") and optional JSON output with a --json parameter. The code will use argparse for easy argument parsing, including options for project and endpoint, plus a --min-shards option for filtering results (default to 2). Although concurrency and async routes are optional, I'll keep it simple and synchronous. Citations will clarify the maximum page size for listing logstores (500) and the shard list return from listshards, done outside code blocks for clarity.

Thought for 3m 10s

Réponse

下面这个脚本会分页拉取某个 project 下的全部 LogstoreListLogStoressize 最大 500,配合 offset 翻页),然后对每个 Logstore 调用 ListShards 统计 shard 数,只输出 shard > 1 的 logstore 名称和 shard 数。 (Alibaba Cloud)

python
# -*- coding: utf-8 -*- import sys import json import argparse from typing import List, Dict, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models def create_client(endpoint: str) -> Sls20201230Client: """ 使用凭据链初始化 Client(推荐无 AK 方式:环境变量/实例角色/STS 等由 CredentialClient 自动解析) """ credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) def list_all_logstores( client: Sls20201230Client, project: str, page_size: int = 500, ) -> List[str]: """ 分页列出 project 下所有 logstore """ runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_logstores: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_logstores.extend(batch) # total 可能为空,兜底用当前累计数量 total = body.total if (body and body.total is not None) else len(all_logstores) if not batch or len(all_logstores) >= total: break offset += len(batch) return all_logstores def shard_count_of_logstore(client: Sls20201230Client, project: str, logstore: str) -> int: """ 返回指定 logstore 的 shard 数(ListShards 返回的是 shard 数组) """ runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) return len(resp.body or []) def main(): parser = argparse.ArgumentParser( description="List logstores in a project whose shard count > 1, and print logstore name + shard count." ) parser.add_argument("project", help="SLS project name, e.g. k8s-log-xxxx") parser.add_argument( "--endpoint", default="cn-hangzhou.log.aliyuncs.com", help="SLS endpoint, default: cn-hangzhou.log.aliyuncs.com", ) parser.add_argument( "--min-shards", type=int, default=2, help="Only output logstores with shard_count >= min_shards (default: 2, i.e. shard > 1)", ) parser.add_argument( "--json", action="store_true", help="Output as JSON array instead of TSV lines", ) args = parser.parse_args() client = create_client(args.endpoint) logstores = list_all_logstores(client, args.project) results: List[Tuple[str, int]] = [] for ls in logstores: try: cnt = shard_count_of_logstore(client, args.project, ls) if cnt >= args.min_shards: results.append((ls, cnt)) except Exception as e: # 出错就跳过该 logstore;你也可以改成记录到文件/打更多诊断信息 print(f"[WARN] list_shards failed for logstore={ls}: {e}", file=sys.stderr) if args.json: payload = [{"logstore": name, "shards": cnt} for name, cnt in results] print(json.dumps(payload, ensure_ascii=False, indent=2)) else: # TSV 输出:logstore<TAB>shards for name, cnt in results: print(f"{name}\t{cnt}") if __name__ == "__main__": main()

用法示例(按你脚本里的 region 来改 endpoint):

  • 输出 TSV:
    python list_shards_gt1.py k8s-log-c080313797e524f98b37f23ea71dcd134 --endpoint cn-hangzhou.log.aliyuncs.com
  • 输出 JSON:
    python list_shards_gt1.py k8s-log-... --json

如果你们 project 里 logstore 很多、调用速度慢,我也可以再给你加一个 ThreadPoolExecutor 并发版本(带限速/重试),避免触发 API 频控。

Question

脚本如何使用

Réponse

你把我给的脚本保存成一个文件,比如 list_shards_gt1.py,然后按下面方式运行就行。

1) 环境准备

安装依赖(和你原脚本一致的 SDK):

bash
pip install alibabacloud-sls20201230 alibabacloud-credentials alibabacloud-tea-openapi alibabacloud-tea-util

认证方式:脚本里用的是 CredentialClient()(凭据链)。常见用法是先在环境变量里配置 AK(或使用更安全的方式如实例角色/STS)。

最简单(不推荐长期使用,但方便测试):

bash
export ALIBABA_CLOUD_ACCESS_KEY_ID="你的AK" export ALIBABA_CLOUD_ACCESS_KEY_SECRET="你的SK" export ALIBABA_CLOUD_REGION_ID="cn-hangzhou" # 可选

如果你是 ECS/容器里跑,建议用 RAM Role / OIDC / STS 等无 AK 方式,CredentialClient() 也能自动识别。


2) 运行方式

脚本参数里 project 是必填,endpoint 可选(默认 cn-hangzhou.log.aliyuncs.com)。

输出 shard > 1 的 logstore(默认)

bash
python list_shards_gt1.py k8s-log-c080313797e524f98b37f23ea71dcd134 --endpoint cn-hangzhou.log.aliyuncs.com

输出示例(TSV):

text
zhmle-registry-server 2 some-logstore 4

输出 JSON

bash
python list_shards_gt1.py k8s-log-c080313797e524f98b37f23ea71dcd134 --endpoint cn-hangzhou.log.aliyuncs.com --json

改阈值(比如 shard >= 3 才输出)

bash
python list_shards_gt1.py k8s-log-xxx --endpoint cn-hangzhou.log.aliyuncs.com --min-shards 3

查看帮助

bash
python list_shards_gt1.py -h

3) 常见问题

  • endpoint 写哪个?
    和你 project 所在 region 一致,比如杭州就是 cn-hangzhou.log.aliyuncs.com。其它 region 也类似:cn-shanghai.log.aliyuncs.comap-southeast-1.log.aliyuncs.com 等。

  • 报权限错误(403 / AccessDenied)
    你的 RAM 用户/角色需要对 SLS 的 ListLogStoresListShards 之类 API 有权限(通常给项目级别权限即可)。

如果你把报错贴出来(尤其是 error message / Recommend 链接内容),我可以帮你快速定位是 endpoint、凭据链还是权限策略问题。

Question

把代码修改为只输出读写shard>1的logstore,提供下完整代码

Réflexion

Filtering 'readwrite' shards in logstores

The website doesn’t show content, but it has parameters. I’ll adjust our list_all_logstores function to match the response fields, including total and logstores. Next, I’ll filter the ListShards API response for shards where status == 'readwrite'. They want to count logstores with more than one readwrite shard, so I’ll clarify this and output logstore names and shard counts in TSV and optional JSON formats. Simple print for logstore name and count.

Implementation details for counting readwrite shards

I’ll implement count_readwrite_shards, which will check if the number of readwrite shards is greater than 1 before outputting. The code will handle exceptions properly using getattr(e, 'message', str(e)) for robustness. I'll preserve the original structure, so it’ll stay similar to Sample class. Although the user didn’t ask for concurrency, I may consider an async version (though won’t include it). I’ll prepare a functional script with shebang and encoding.

Crafting the code and handling parameters

I’m designing the code with command-line arguments for project and endpoint, though they might prefer hardcoding based on their original request. Since they asked for batch view, I’ll make these arguments optional with defaults. I’ll use argparse for clarity. The code will include essential functions like create_client, list_all_logstores, and

Thought for 30s

Réponse

下面是完整脚本:会批量列出指定 project 下所有 logstore,然后调用 ListShards只统计 status == "readwrite" 的 shard 数,并且只输出读写 shard > 1 的 logstore 名称和读写 shard 数。(ListShards 的返回示例里就有 status: readwrite 字段 (Alibaba Cloud);ListLogStores 支持 offset/size 分页,size 最大 500 (Alibaba Cloud))

python
# -*- coding: utf-8 -*- import sys import json import argparse from typing import List, Dict, Any, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models class Sample: @staticmethod def create_client(endpoint: str) -> Sls20201230Client: """ 使用凭据链初始化账号 Client(CredentialClient 会自动从环境变量/实例角色/STS 等取凭据) """ credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) @staticmethod def _get_error_message(e: Exception) -> str: return getattr(e, "message", None) or str(e) @staticmethod def _get_error_recommend(e: Exception) -> str: data = getattr(e, "data", None) if isinstance(data, dict): return str(data.get("Recommend") or "") return "" @staticmethod def list_all_logstores(client: Sls20201230Client, project: str, page_size: int = 500) -> List[str]: """ 分页列出 project 下所有 logstore """ runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_logstores: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_logstores.extend(batch) total = body.total if (body and body.total is not None) else len(all_logstores) if not batch or len(all_logstores) >= total: break offset += len(batch) return all_logstores @staticmethod def count_readwrite_shards(client: Sls20201230Client, project: str, logstore: str) -> int: """ 统计指定 logstore 里 status == "readwrite" 的 shard 数 ListShards 返回的是 shard 数组,每个 shard 有 status 字段(例如 readwrite/readonly) """ runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) shards = resp.body or [] cnt = 0 for s in shards: # 兼容 SDK 可能返回 dict 或对象两种情况 status = None if isinstance(s, dict): status = s.get("status") else: status = getattr(s, "status", None) if isinstance(status, str) and status.lower() == "readwrite": cnt += 1 return cnt @staticmethod def main(argv: List[str]) -> None: parser = argparse.ArgumentParser( description="List logstores whose READWRITE shard count > 1, and print logstore name + readwrite shard count." ) parser.add_argument("project", help="SLS project name, e.g. k8s-log-xxxx") parser.add_argument( "--endpoint", default="cn-hangzhou.log.aliyuncs.com", help="SLS endpoint, default: cn-hangzhou.log.aliyuncs.com", ) parser.add_argument( "--min-readwrite-shards", type=int, default=2, help='Only output logstores with readwrite_shards >= N (default 2 means "readwrite shard > 1")', ) parser.add_argument( "--json", action="store_true", help="Output as JSON array instead of TSV lines", ) args = parser.parse_args(argv) client = Sample.create_client(args.endpoint) try: logstores = Sample.list_all_logstores(client, args.project) except Exception as e: msg = Sample._get_error_message(e) rec = Sample._get_error_recommend(e) print(f"[ERROR] ListLogStores failed: {msg}", file=sys.stderr) if rec: print(f"[ERROR] Recommend: {rec}", file=sys.stderr) sys.exit(1) results: List[Tuple[str, int]] = [] for ls in logstores: try: rw_cnt = Sample.count_readwrite_shards(client, args.project, ls) if rw_cnt >= args.min_readwrite_shards: results.append((ls, rw_cnt)) except Exception as e: msg = Sample._get_error_message(e) rec = Sample._get_error_recommend(e) print(f"[WARN] ListShards failed for logstore={ls}: {msg}", file=sys.stderr) if rec: print(f"[WARN] Recommend: {rec}", file=sys.stderr) if args.json: payload = [{"logstore": name, "readwrite_shards": cnt} for name, cnt in results] print(json.dumps(payload, ensure_ascii=False, indent=2)) else: # TSV:logstore<TAB>readwrite_shards for name, cnt in results: print(f"{name}\t{cnt}") if __name__ == "__main__": Sample.main(sys.argv[1:])

运行示例:

  • 默认(只输出读写 shard > 1):
bash
python list_readwrite_shards_gt1.py k8s-log-c080313797e524f98b37f23ea71dcd134 --endpoint cn-hangzhou.log.aliyuncs.com
  • JSON 输出:
bash
python list_readwrite_shards_gt1.py k8s-log-xxx --json

如果你希望“读写 shard”之外还把 readonly 的数量也一起打印出来(用于排查正在 split/merge 的 logstore),我也可以给你加一列。

Question

-- coding: utf-8 --

This file is auto-generated, don't edit it. Thanks.

import os
import sys
import json

from typing import List

from alibabacloud_sls20201230.client import Client as Sls20201230Client
from alibabacloud_credentials.client import Client as CredentialClient
from alibabacloud_tea_openapi import models as open_api_models
from alibabacloud_tea_util import models as util_models
from alibabacloud_tea_util.client import Client as UtilClient

class Sample:
def init(self):
pass

text
@staticmethod def create_client() -> Sls20201230Client: """ 使用凭据初始化账号Client @return: Client @throws Exception """ # 工程代码建议使用更安全的无AK方式,凭据配置方式请参见:https://help.aliyun.com/document_detail/378659.html。 credential = CredentialClient() config = open_api_models.Config( credential=credential ) # Endpoint 请参考 https://api.aliyun.com/product/Sls config.endpoint = f'ap-southeast-1.log.aliyuncs.com' return Sls20201230Client(config) @staticmethod def main( args: List[str], ) -> None: client = Sample.create_client() runtime = util_models.RuntimeOptions() headers = {} try: resp = client.merge_shard_with_options('k8s-log-cf5fd9866be3d44f7bc86aca1950ca478', 'analysis-service', '', headers, runtime) print(json.dumps(resp, default=str, indent=2)) except Exception as error: # 此处仅做打印展示,请谨慎对待异常处理,在工程项目中切勿直接忽略异常。 # 错误 message print(error.message) # 诊断地址 print(error.data.get("Recommend")) @staticmethod async def main_async( args: List[str], ) -> None: client = Sample.create_client() runtime = util_models.RuntimeOptions() headers = {} try: resp = await client.merge_shard_with_options_async('k8s-log-cf5fd9866be3d44f7bc86aca1950ca478', 'analysis-service', '', headers, runtime) print(json.dumps(resp, default=str, indent=2)) except Exception as error: # 此处仅做打印展示,请谨慎对待异常处理,在工程项目中切勿直接忽略异常。 # 错误 message print(error.message) # 诊断地址 print(error.data.get("Recommend"))

if name == 'main':
Sample.main(sys.argv[1:])

这是合并shard的脚本,帮我把上面筛出的所有shard不为1的logstore全部合并为1

Réflexion

Clarifying shard merging process

The docs confirm two adjacent readwrite shards are needed for merging. I’ll list and filter shards by status, then sort by range. After merging, the original shards become readonly. The new merged shard starts as readwrite. To reduce readwrite shards to 1, I’ll keep merging until only one remains.

Refining shard merging iterations

I need to handle that old readonly shards remain, so I’ll focus on counting readwrite shards. In each iteration, I’ll get the current readwrite list, sort them, and merge the first two contiguous ones. After merges, old shards become readonly, but the new shard is readwrite and contiguous. I'll stop when only one readwrite shard remains.

Finalizing shard merge approach

I’ll find adjacent readwrite shard pairs in the sorted list and merge the first one in each pair. After merging, I’ll poll the list until the readwrite count decreases or a max attempt is reached. I’ll integrate this with the earlier script, output progress as we go, and include small waits using exponential backoff.

Handling merging with caution

I need to be cautious about merging, as it changes ingestion and could impact performance. Since the user requested merging to 1, I’ll include a safeguard option like --dry-run (default false) for testing. I’ll also provide a --execute flag to actually perform merges, but I’m leaning toward having the script default to executing merges directly to meet their request quickly.

Simplifying merge options and code structure

Since the user expects merges to happen, I plan to default to executing them, with a --dry-run flag to display actions without performing them. I’ll make it simple with optional parameters, like --max-merge-per-logstore. The script should handle their environment by parameterizing endpoint and region, while adapting to expected data formats in the SDK. The algorithm will ensure the merges proceed and handle shard status checks.

Clarifying shard adjacency after merge

After merging, old shards become readonly, and the new shard is readwrite, covering the union of the old ranges. However, the ranges of old shards may still overlap with the new one. Sorting the shards by the inclusiveBeginKey should maintain correct adjacency. I'll implement a helper function to handle status appropriately, ensuring we correctly identify contiguous readwrite shards.

Implementing shard merge with progress tracking

I'll implement getters to handle various shard attributes, including case variants for shard IDs and the begin key. The merge function will sort the shards to identify adjacent readwrite pairs for merging, with progress printed per logstore. I'll include options for rate limits and sleep intervals to prevent performance issues while ensuring proper filtering based on shard counts.

Thought for 1m 4s

Réponse

下面给你一份完整可直接运行的脚本:会在指定 project批量遍历所有 logstore,找出 readwrite shard 数 > 1 的 logstore,然后对每个 logstore 循环 merge,直到 readwrite shard 只剩 1 个(每次 merge 会合并一对相邻的 readwrite shard,参数传“第一块 shard 的 shardId”)。

说明:MergeShard 只能合并相邻且都是 readwrite 状态的两块 shard,所以脚本会先 ListShards,再从 shard 列表里找“相邻 readwrite + readwrite”的一对来 merge。


✅ 完整代码:merge_project_logstores_to_1_rw_shard.py

python
# -*- coding: utf-8 -*- import sys import json import time import argparse from typing import List, Dict, Any, Optional, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models def create_client(endpoint: str) -> Sls20201230Client: credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) def _get(obj: Any, *names: str) -> Any: """兼容 dict / object 两种返回结构""" if isinstance(obj, dict): for n in names: if n in obj: return obj.get(n) # 再做一次大小写不敏感兜底 lower_map = {str(k).lower(): k for k in obj.keys()} for n in names: k = lower_map.get(n.lower()) if k is not None: return obj.get(k) return None for n in names: if hasattr(obj, n): return getattr(obj, n) # snake_case 兜底(很少用到) for n in names: sn = [] for ch in n: if ch.isupper(): sn.append("_") sn.append(ch.lower()) else: sn.append(ch) sn = "".join(sn).lstrip("_") if hasattr(obj, sn): return getattr(obj, sn) return None def list_all_logstores(client: Sls20201230Client, project: str, page_size: int = 500) -> List[str]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_ls: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_ls.extend(batch) total = body.total if (body and body.total is not None) else len(all_ls) if not batch or len(all_ls) >= total: break offset += len(batch) return all_ls def list_shards(client: Sls20201230Client, project: str, logstore: str) -> List[Any]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) return resp.body or [] def count_readwrite_shards(shards: List[Any]) -> int: cnt = 0 for s in shards: status = _get(s, "status") if isinstance(status, str) and status.lower() == "readwrite": cnt += 1 return cnt def _begin_key(s: Any) -> str: # inclusiveBeginKey 是 MD5 range 的起始 bk = _get(s, "inclusiveBeginKey", "inclusive_begin_key", "inclusiveBeginkey") return str(bk or "") def _shard_id(s: Any) -> Optional[int]: sid = _get(s, "shardID", "shardId", "shard_id", "shard") if sid is None: return None try: return int(sid) except Exception: return None def find_adjacent_readwrite_pair(sorted_shards: List[Any]) -> Optional[int]: """ 在“按 inclusiveBeginKey 排序后的 shard 列表”里找相邻的 readwrite+readwrite, 返回第一块 shard 的 shardId(MergeShard 要求传这个)。 """ for i in range(len(sorted_shards) - 1): s1 = sorted_shards[i] s2 = sorted_shards[i + 1] st1 = _get(s1, "status") st2 = _get(s2, "status") if isinstance(st1, str) and isinstance(st2, str) and st1.lower() == "readwrite" and st2.lower() == "readwrite": sid1 = _shard_id(s1) if sid1 is not None: return sid1 return None def merge_once(client: Sls20201230Client, project: str, logstore: str, shard_id_first: int) -> Any: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} return client.merge_shard_with_options(project, logstore, shard_id_first, headers, runtime) def merge_logstore_to_one_rw( client: Sls20201230Client, project: str, logstore: str, target_rw: int = 1, max_rounds: int = 200, sleep_sec: float = 0.3, verbose: bool = True, ) -> Tuple[int, int]: """ 返回 (initial_rw, final_rw) """ shards = list_shards(client, project, logstore) initial_rw = count_readwrite_shards(shards) if initial_rw <= target_rw: return initial_rw, initial_rw rounds = 0 while rounds < max_rounds: shards = list_shards(client, project, logstore) # 只看 readwrite 数量决定是否继续 rw_cnt = count_readwrite_shards(shards) if rw_cnt <= target_rw: return initial_rw, rw_cnt # 必须在“全量 shard(含 readonly)”里按 beginKey 排序,再找相邻 readwrite 对 sorted_all = sorted(shards, key=_begin_key) first_id = find_adjacent_readwrite_pair(sorted_all) if first_id is None: # 找不到相邻 readwrite 对:可能暂时处于 split/merge 过程,或状态异常 if verbose: print(f"[WARN] {logstore}: 找不到相邻 readwrite shard 对,无法继续 merge(当前 readwrite={rw_cnt})", file=sys.stderr) return initial_rw, rw_cnt if verbose: print(f"[INFO] {logstore}: merging shard {first_id} with its adjacent readwrite shard... (readwrite={rw_cnt})") merge_once(client, project, logstore, first_id) rounds += 1 if sleep_sec > 0: time.sleep(sleep_sec) # 达到最大轮次仍未完成 shards = list_shards(client, project, logstore) return initial_rw, count_readwrite_shards(shards) def main(argv: List[str]) -> None: parser = argparse.ArgumentParser( description="Merge all logstores in a project so that READWRITE shards become 1 (only for those with readwrite_shards > 1)." ) parser.add_argument("project", help="SLS project name") parser.add_argument("--endpoint", default="ap-southeast-1.log.aliyuncs.com", help="SLS endpoint") parser.add_argument("--min-rw", type=int, default=2, help="Only process logstores with readwrite_shards >= min-rw (default: 2)") parser.add_argument("--target-rw", type=int, default=1, help="Target readwrite shard count (default: 1)") parser.add_argument("--max-rounds", type=int, default=200, help="Max merge rounds per logstore") parser.add_argument("--sleep", type=float, default=0.3, help="Sleep seconds between merges (default: 0.3)") parser.add_argument("--json", action="store_true", help="Output summary as JSON") parser.add_argument("--quiet", action="store_true", help="Less logs") args = parser.parse_args(argv) client = create_client(args.endpoint) logstores = list_all_logstores(client, args.project) summary: List[Dict[str, Any]] = [] for ls in logstores: try: shards = list_shards(client, args.project, ls) rw_cnt = count_readwrite_shards(shards) if rw_cnt < args.min_rw: continue init_rw, final_rw = merge_logstore_to_one_rw( client=client, project=args.project, logstore=ls, target_rw=args.target_rw, max_rounds=args.max_rounds, sleep_sec=args.sleep, verbose=(not args.quiet), ) summary.append({"logstore": ls, "initial_readwrite_shards": init_rw, "final_readwrite_shards": final_rw}) except Exception as e: msg = getattr(e, "message", None) or str(e) recommend = "" data = getattr(e, "data", None) if isinstance(data, dict): recommend = str(data.get("Recommend") or "") print(f"[ERROR] {ls}: {msg}", file=sys.stderr) if recommend: print(f"[ERROR] Recommend: {recommend}", file=sys.stderr) if args.json: print(json.dumps(summary, ensure_ascii=False, indent=2)) else: # TSV: logstore initial_rw final_rw for item in summary: print(f"{item['logstore']}\t{item['initial_readwrite_shards']}\t{item['final_readwrite_shards']}") if __name__ == "__main__": main(sys.argv[1:])

使用方法

1)运行(会实际执行合并)

bash
python merge_project_logstores_to_1_rw_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com

输出(TSV)示例:

text
analysis-service 4 1 xxx-logstore 2 1

2)输出 JSON 汇总

bash
python merge_project_logstores_to_1_rw_shard.py k8s-log-xxx --endpoint ap-southeast-1.log.aliyuncs.com --json

3)调大合并间隔(避免 API 频控)

bash
python merge_project_logstores_to_1_rw_shard.py k8s-log-xxx --endpoint ap-southeast-1.log.aliyuncs.com --sleep 1

如果你运行时遇到 [WARN] 找不到相邻 readwrite shard 对,把该 logstore 的 ListShards 输出贴我一下(或告诉我 shard 的 status 分布),我可以帮你把策略改成更“强力”的:比如先等待状态稳定/重试、或针对正在 merge/split 的情况做更稳的轮询逻辑。

Question

(chohotech) ananas@su:~/code/合并shard$ python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com
[INFO] api-knowledgebase: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[INFO] api-knowledgebase: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[ERROR] api-knowledgebase: shard not exist or readonly
[INFO] api-knowledgebase-en: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[INFO] api-knowledgebase-en: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[ERROR] api-knowledgebase-en: shard not exist or readonly
[INFO] audit-cf5fd9866be3d44f7bc86aca1950ca478: merging shard 32 with its adjacent readwrite shard... (readwrite=31)
[INFO] audit-cf5fd9866be3d44f7bc86aca1950ca478: merging shard 32 with its adjacent readwrite shard... (readwrite=31)
[ERROR] audit-cf5fd9866be3d44f7bc86aca1950ca478: shard not exist or readonly
[INFO] auth-service: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[INFO] auth-service: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[ERROR] auth-service: shard not exist or readonly
使用你的脚本后出现这个情况

Réflexion

Considering shard transitions after merge

After a merge, the original readwrite shards become readonly, and a new readwrite shard takes their place. This means our script should wait until the old shards are readonly before attempting another merge. Also, while readwrite count usually decreases by 1, there might be edge cases where it's not that straightforward. I’ll adjust to account for those variations.

Adjusting for merging behavior in shard lists

After merging two readwrite shards, the expected result is 1 readwrite shard. However, our loop may incorrectly detect 2 readwrite shards because the list read after merge completion isn't fully updated yet. It seems waiting for each merge to complete before continuing would resolve this issue. We'll ensure sequential merges with proper waits.

Improving the merge script logic

I’ll enhance the script by adding arguments like --wait-timeout (maybe 120s) and --poll-interval starting at 0.5s, gradually increasing to 5s. For each merge attempt, I’ll track the read-write count, and if a merge fails with "readonly" errors, I'll wait for the change before retrying. If other errors occur, the process should raise an exception. I'll also use the beginKey to select shards.

Finalizing improved script adjustments

I’ll modify the script to include a --wait-timeout (120) and --poll-interval (starting at 0.5, rising to 5s). During each merge, the script will track the read-write count and ensure stability before proceeding. If read-write count doesn't decrease, I'll treat it as "in-progress." Adding --dry-run could be helpful, even if not specifically requested, for safety. I'll also use the beginKey for shard selection.

Handling shard merging and reducing risks

Merging shards intentionally reduces write capacity and can cause throttling, but that's the user's goal. I'll explain the error and provide the updated full code for handling it. We'll implement a robust wait function (wait_until_rw_decreases) that waits until the write count drops, avoiding unnecessary retries. I'll also ensure we handle shard counts effectively. The key change is restructuring the script to avoid a second merge attempt until the first one is complete, preventing errors. Let’s finalize the new code.

Thought for 1m 1s

Réponse

你这个报错本质原因是:MergeShard 触发后,原来参与 merge 的两块 shard 会很快变成 readonly(或被替换掉),而合并生成的新 shard 需要一点时间才稳定到 readwrite。你脚本里在同一个 logstore 上连续发了两次 merge,第二次就会命中 “shard not exist or readonly”。官方说明里也明确:merge 需要“两块相邻且都是 readwrite”,merge 后原 shard 变 readonly。 (AlibabaCloud)

下面是修复后的完整脚本:每次对某个 logstore 发起一次 merge 后,会轮询等待直到 readwrite shard 数量确实减少(或达到目标 1)才继续下一次 merge,因此不会再“连打两次”导致你这个错误。


✅ 完整代码(稳健版):只合并“readwrite shard > 1”的 logstore,最终合到 1

python
# -*- coding: utf-8 -*- import sys import json import time import argparse from typing import List, Dict, Any, Optional, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models def create_client(endpoint: str) -> Sls20201230Client: credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) def _get(obj: Any, name: str, *aliases: str) -> Any: """兼容 dict / object 两种返回结构""" keys = (name,) + aliases if isinstance(obj, dict): for k in keys: if k in obj: return obj.get(k) lower_map = {str(k).lower(): k for k in obj.keys()} for k in keys: kk = lower_map.get(str(k).lower()) if kk is not None: return obj.get(kk) return None for k in keys: if hasattr(obj, k): return getattr(obj, k) return None def list_all_logstores(client: Sls20201230Client, project: str, page_size: int = 500) -> List[str]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_ls: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_ls.extend(batch) total = body.total if (body and body.total is not None) else len(all_ls) if not batch or len(all_ls) >= total: break offset += len(batch) return all_ls def list_shards(client: Sls20201230Client, project: str, logstore: str) -> List[Any]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) return resp.body or [] def count_readwrite_shards(shards: List[Any]) -> int: cnt = 0 for s in shards: status = _get(s, "status") if isinstance(status, str) and status.lower() == "readwrite": cnt += 1 return cnt def _begin_key(s: Any) -> str: bk = _get(s, "inclusiveBeginKey", "inclusive_begin_key") return str(bk or "") def _shard_id(s: Any) -> Optional[int]: sid = _get(s, "shardID", "shardId", "shard_id") if sid is None: return None try: return int(sid) except Exception: return None def find_adjacent_readwrite_pair(shards: List[Any]) -> Optional[int]: """ 按 beginKey 排序后,找相邻 readwrite + readwrite,返回“第一块”的 shardId """ sorted_all = sorted(shards, key=_begin_key) for i in range(len(sorted_all) - 1): s1, s2 = sorted_all[i], sorted_all[i + 1] st1 = _get(s1, "status") st2 = _get(s2, "status") if isinstance(st1, str) and isinstance(st2, str) and st1.lower() == "readwrite" and st2.lower() == "readwrite": sid1 = _shard_id(s1) if sid1 is not None: return sid1 return None def merge_once(client: Sls20201230Client, project: str, logstore: str, shard_id_first: int) -> None: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} client.merge_shard_with_options(project, logstore, shard_id_first, headers, runtime) def is_shard_not_exist_or_readonly(err: Exception) -> bool: msg = getattr(err, "message", None) or str(err) msg_l = msg.lower() return ("shard not exist" in msg_l) or ("readonly" in msg_l) def wait_until_rw_decreases( client: Sls20201230Client, project: str, logstore: str, rw_before: int, target_rw: int, timeout_sec: float, poll_start: float = 0.6, poll_max: float = 5.0, ) -> int: """ 等待直到 readwrite shard 数 < rw_before(即本次 merge 生效),或 <= target_rw """ start = time.time() interval = poll_start while True: shards = list_shards(client, project, logstore) rw_now = count_readwrite_shards(shards) if rw_now <= target_rw or rw_now < rw_before: return rw_now if time.time() - start >= timeout_sec: return rw_now time.sleep(interval) interval = min(poll_max, interval * 1.4) def merge_logstore_to_one_rw( client: Sls20201230Client, project: str, logstore: str, target_rw: int, max_rounds: int, wait_timeout_sec: float, quiet: bool, ) -> Tuple[int, int]: shards = list_shards(client, project, logstore) initial_rw = count_readwrite_shards(shards) if initial_rw <= target_rw: return initial_rw, initial_rw rounds = 0 rw_now = initial_rw while rounds < max_rounds and rw_now > target_rw: shards = list_shards(client, project, logstore) rw_now = count_readwrite_shards(shards) if rw_now <= target_rw: break shard_first = find_adjacent_readwrite_pair(shards) if shard_first is None: if not quiet: print(f"[WARN] {logstore}: 找不到相邻 readwrite shard 对(当前 readwrite={rw_now}),停止。", file=sys.stderr) break if not quiet: print(f"[INFO] {logstore}: merging shard {shard_first} ... (readwrite={rw_now})") # 发起 merge(如果返回“not exist or readonly”,多半是刚刚 merge 触发后状态切换,按“等待生效”处理) try: merge_once(client, project, logstore, shard_first) except Exception as e: if is_shard_not_exist_or_readonly(e): if not quiet: print(f"[WARN] {logstore}: merge 返回 '{getattr(e,'message',str(e))}',可能处于状态切换/merge进行中,等待生效…", file=sys.stderr) else: raise # 关键:等待这次 merge 真正让 readwrite 数下降(或达到目标) rw_after = wait_until_rw_decreases( client=client, project=project, logstore=logstore, rw_before=rw_now, target_rw=target_rw, timeout_sec=wait_timeout_sec, ) if not quiet: print(f"[INFO] {logstore}: readwrite {rw_now} -> {rw_after}") # 如果没下降,说明 merge 还没完成或被阻塞,避免死循环:直接退出或你也可改成继续等 if rw_after >= rw_now: if not quiet: print(f"[WARN] {logstore}: 等待超时仍未下降(readwrite={rw_after}),先停止该 logstore。", file=sys.stderr) break rw_now = rw_after rounds += 1 return initial_rw, rw_now def main(argv: List[str]) -> None: parser = argparse.ArgumentParser( description="Merge all logstores (with readwrite shards > 1) to make readwrite shards become 1." ) parser.add_argument("project", help="SLS project name") parser.add_argument("--endpoint", default="ap-southeast-1.log.aliyuncs.com", help="SLS endpoint") parser.add_argument("--min-rw", type=int, default=2, help="Only process logstores with readwrite_shards >= min-rw (default 2)") parser.add_argument("--target-rw", type=int, default=1, help="Target readwrite shard count (default 1)") parser.add_argument("--max-rounds", type=int, default=200, help="Max merge rounds per logstore") parser.add_argument("--wait-timeout", type=float, default=90.0, help="Wait timeout seconds after each merge (default 90s)") parser.add_argument("--json", action="store_true", help="Output summary as JSON") parser.add_argument("--quiet", action="store_true", help="Less logs") args = parser.parse_args(argv) client = create_client(args.endpoint) logstores = list_all_logstores(client, args.project) summary: List[Dict[str, Any]] = [] for ls in logstores: try: shards = list_shards(client, args.project, ls) rw_cnt = count_readwrite_shards(shards) if rw_cnt < args.min_rw: continue init_rw, final_rw = merge_logstore_to_one_rw( client=client, project=args.project, logstore=ls, target_rw=args.target_rw, max_rounds=args.max_rounds, wait_timeout_sec=args.wait_timeout, quiet=args.quiet, ) summary.append({"logstore": ls, "initial_readwrite_shards": init_rw, "final_readwrite_shards": final_rw}) except Exception as e: msg = getattr(e, "message", None) or str(e) recommend = "" data = getattr(e, "data", None) if isinstance(data, dict): recommend = str(data.get("Recommend") or "") print(f"[ERROR] {ls}: {msg}", file=sys.stderr) if recommend: print(f"[ERROR] Recommend: {recommend}", file=sys.stderr) if args.json: print(json.dumps(summary, ensure_ascii=False, indent=2)) else: # TSV: logstore initial_rw final_rw for item in summary: print(f"{item['logstore']}\t{item['initial_readwrite_shards']}\t{item['final_readwrite_shards']}") if __name__ == "__main__": main(sys.argv[1:])

用法(和你之前一样)

bash
python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com

如果某些 logstore shard 很多(比如你那个 readwrite=31),建议把等待时间稍微加大一点,避免 merge 还没落稳就进入下一轮:

bash
python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com --wait-timeout 180

你现在这类报错还会出现吗?

  • 正常情况下不会再出现(因为每次 merge 后都会等到 readwrite 数下降才继续)。
  • 如果仍偶发出现,脚本也会把它当成“状态切换/merge进行中”来等待,而不是直接把这个 logstore merge 坏。

如果你愿意把某个出问题 logstore 的 ListShards 原始输出(json)贴一份,我还能进一步把“找相邻 shard 对”的策略做得更稳(比如跳过正在 merge 的 readonly 链、从头/从尾合并等)。

Question

(chohotech) ananas@su:~/code/合并shard$ python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com
[INFO] api-knowledgebase: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[INFO] api-knowledgebase: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[ERROR] api-knowledgebase: shard not exist or readonly
[INFO] api-knowledgebase-en: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[INFO] api-knowledgebase-en: merging shard 0 with its adjacent readwrite shard... (readwrite=2)
[ERROR] api-knowledgebase-en: shard not exist or readonly
[INFO] audit-cf5fd9866be3d44f7bc86aca1950ca478: merging shard 32 with its adjacent readwrite shard... (readwrite=31)
[INFO] audit-cf5fd9866be3d44f7bc86aca1950ca478: merging shard 32 with its adjacent readwrite shard... (readwrite=31)
[ERROR] audit-cf5fd9866be3d44f7bc86aca1950ca478: shard not exist or readonly
还是不能用啊

Réflexion

Troubleshooting user script update

It looks like the user is still running an old script instead of the updated one. The output shows duplicated info, and the "readwrite x->y" print isn't appearing. I need to clarify instructions and check for proper indentation and function names. Also, I suspect the shard_id needs to be a string, not an integer, so I'll suggest correcting that.

Thought for 12s

Réponse

从你贴的日志看,脚本还是在同一个 logstore 上连续打了两次 merge(两条一模一样的 [INFO] ... merging shard ... (readwrite=...) 紧挨着),这说明你现在运行的 merge_shard.py 并不是我后面给你的“等待生效再继续”的版本(那个版本每次 merge 后一定会打印 readwrite X -> Y,不会立刻再来一条相同的 merging)。

下面给你一个更硬的稳健版,特征是:

  • 每次 merge 后会进入 WAIT 阶段,不停 ListShards,直到:
    • readwrite 数减少,或
    • 这次 merge 的 shard_id 变成 readonly / 消失(也说明 merge 在推进),才允许下一次 merge
  • merge_shard 的 shardId 强制转成字符串(SDK 有些版本对 path 参数更稳)

你把下面代码整段覆盖merge_shard.py,然后再运行(日志会出现明显的 WAIT ... / rw A -> B)。


✅ 可用完整脚本:merge_shard.py(只把 readwrite shard > 1 的 logstore 合到 1)

python
# -*- coding: utf-8 -*- import sys import json import time import argparse from typing import List, Dict, Any, Optional, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models def create_client(endpoint: str) -> Sls20201230Client: credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) def _get(obj: Any, *names: str) -> Any: """兼容 dict / object 两种返回结构""" if isinstance(obj, dict): for n in names: if n in obj: return obj.get(n) lower_map = {str(k).lower(): k for k in obj.keys()} for n in names: k = lower_map.get(str(n).lower()) if k is not None: return obj.get(k) return None for n in names: if hasattr(obj, n): return getattr(obj, n) return None def list_all_logstores(client: Sls20201230Client, project: str, page_size: int = 500) -> List[str]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_ls: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_ls.extend(batch) total = body.total if (body and body.total is not None) else len(all_ls) if not batch or len(all_ls) >= total: break offset += len(batch) return all_ls def list_shards(client: Sls20201230Client, project: str, logstore: str) -> List[Any]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) return resp.body or [] def shard_id(s: Any) -> Optional[int]: sid = _get(s, "shardID", "shardId", "shard_id") if sid is None: return None try: return int(sid) except Exception: return None def shard_status(s: Any) -> str: st = _get(s, "status") return (st or "").lower() if isinstance(st, str) else "" def begin_key(s: Any) -> str: bk = _get(s, "inclusiveBeginKey", "inclusive_begin_key") return str(bk or "") def count_readwrite(shards: List[Any]) -> int: return sum(1 for s in shards if shard_status(s) == "readwrite") def find_adjacent_readwrite_pair(shards: List[Any]) -> Optional[int]: """ 找相邻 readwrite+readwrite,返回第一块 shardId """ ss = sorted(shards, key=begin_key) for i in range(len(ss) - 1): if shard_status(ss[i]) == "readwrite" and shard_status(ss[i + 1]) == "readwrite": sid = shard_id(ss[i]) if sid is not None: return sid return None def merge_once(client: Sls20201230Client, project: str, logstore: str, first_shard_id: int) -> None: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} # 注意:path 参数用 str 更稳 client.merge_shard_with_options(project, logstore, str(first_shard_id), headers, runtime) def is_not_exist_or_readonly(err: Exception) -> bool: msg = getattr(err, "message", None) or str(err) m = msg.lower() return ("shard not exist" in m) or ("readonly" in m) def wait_merge_effect( client: Sls20201230Client, project: str, logstore: str, rw_before: int, watched_shard_id: int, timeout_sec: float = 180.0, poll_sec: float = 1.0, quiet: bool = False, ) -> int: """ 等待 merge 生效: - readwrite 数减少;或 - watched_shard_id 变 readonly/消失(说明 merge 推进中) """ start = time.time() while True: shards = list_shards(client, project, logstore) rw_now = count_readwrite(shards) # 条件1:rw 数减少(最直观) if rw_now < rw_before: return rw_now # 条件2:本次 merge 的 shard 已经不是 readwrite(readonly/消失) st_map: Dict[int, str] = {} for s in shards: sid = shard_id(s) if sid is not None: st_map[sid] = shard_status(s) watched_status = st_map.get(watched_shard_id, "missing") if watched_status != "readwrite": # 等一小会儿让新 shard 变成 readwrite,再返回最新 rw 数 time.sleep(0.8) shards2 = list_shards(client, project, logstore) return count_readwrite(shards2) if time.time() - start >= timeout_sec: if not quiet: print(f"[WARN] {logstore}: WAIT 超时({timeout_sec}s),rw 仍为 {rw_now}", file=sys.stderr) return rw_now if not quiet: elapsed = int(time.time() - start) print(f"[WAIT] {logstore}: rw={rw_now} watched_shard={watched_shard_id} still readwrite... ({elapsed}s)") time.sleep(poll_sec) def merge_logstore_to_one( client: Sls20201230Client, project: str, logstore: str, target_rw: int = 1, max_rounds: int = 500, wait_timeout: float = 180.0, quiet: bool = False, ) -> Tuple[int, int]: shards = list_shards(client, project, logstore) init_rw = count_readwrite(shards) rw_now = init_rw if rw_now <= target_rw: return init_rw, rw_now rounds = 0 while rounds < max_rounds: shards = list_shards(client, project, logstore) rw_now = count_readwrite(shards) if rw_now <= target_rw: break first_id = find_adjacent_readwrite_pair(shards) if first_id is None: if not quiet: print(f"[WARN] {logstore}: 找不到相邻 readwrite 对(rw={rw_now}),停止", file=sys.stderr) break if not quiet: print(f"[INFO] {logstore}: MERGE round={rounds+1} choose_first_shard={first_id} (rw={rw_now})") try: merge_once(client, project, logstore, first_id) except Exception as e: # 这里如果提示 readonly/not exist,通常是状态切换中;进入等待逻辑,不要立刻再 merge if is_not_exist_or_readonly(e): if not quiet: print(f"[WARN] {logstore}: merge 返回 '{getattr(e,'message',str(e))}',进入等待", file=sys.stderr) else: raise rw_after = wait_merge_effect( client=client, project=project, logstore=logstore, rw_before=rw_now, watched_shard_id=first_id, timeout_sec=wait_timeout, poll_sec=1.0, quiet=quiet, ) if not quiet: print(f"[INFO] {logstore}: rw {rw_now} -> {rw_after}") # 如果没变化,别死循环狂打 merge if rw_after >= rw_now: if not quiet: print(f"[WARN] {logstore}: rw 未下降(rw={rw_after}),先停止该 logstore", file=sys.stderr) break rw_now = rw_after rounds += 1 return init_rw, rw_now def main(argv: List[str]) -> None: parser = argparse.ArgumentParser(description="Merge all logstores in a project to make READWRITE shards become 1.") parser.add_argument("project", help="SLS project name") parser.add_argument("--endpoint", default="ap-southeast-1.log.aliyuncs.com", help="SLS endpoint") parser.add_argument("--min-rw", type=int, default=2, help="only process logstores with readwrite >= min-rw (default 2)") parser.add_argument("--target-rw", type=int, default=1, help="target readwrite shard count (default 1)") parser.add_argument("--wait-timeout", type=float, default=180.0, help="wait seconds after each merge (default 180)") parser.add_argument("--json", action="store_true", help="output summary json") parser.add_argument("--quiet", action="store_true", help="less logs") args = parser.parse_args(argv) client = create_client(args.endpoint) logstores = list_all_logstores(client, args.project) summary: List[Dict[str, Any]] = [] for ls in logstores: try: shards = list_shards(client, args.project, ls) rw = count_readwrite(shards) if rw < args.min_rw: continue if not args.quiet: print(f"\n=== START {ls} (readwrite={rw}) ===") init_rw, final_rw = merge_logstore_to_one( client=client, project=args.project, logstore=ls, target_rw=args.target_rw, wait_timeout=args.wait_timeout, quiet=args.quiet, ) summary.append({"logstore": ls, "initial_readwrite": init_rw, "final_readwrite": final_rw}) except Exception as e: msg = getattr(e, "message", None) or str(e) recommend = "" data = getattr(e, "data", None) if isinstance(data, dict): recommend = str(data.get("Recommend") or "") print(f"[ERROR] {ls}: {msg}", file=sys.stderr) if recommend: print(f"[ERROR] Recommend: {recommend}", file=sys.stderr) if args.json: print(json.dumps(summary, ensure_ascii=False, indent=2)) else: for it in summary: print(f"{it['logstore']}\t{it['initial_readwrite']}\t{it['final_readwrite']}") if __name__ == "__main__": main(sys.argv[1:])

运行方式

bash
python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com

建议你这个项目里 shard 很多(比如 rw=31),把等待超时再拉大一点:

bash
python merge_shard.py k8s-log-cf5fd9866be3d44f7bc86aca1950ca478 --endpoint ap-southeast-1.log.aliyuncs.com --wait-timeout 300

为什么你会一直看到 “shard not exist or readonly”

因为你前一个脚本在 merge 后立刻又 merge 同一个 shardId,而该 shardId 此时已经变 readonly 或被替换掉了,所以必然报这个错。这个版本通过 WAIT 强制等待状态推进,不会再“连打”。

如果你跑这版后,某个 logstore 一直 WAIT 超时,把那一个 logstore 的 ListShards 输出贴一段(只要包含 shardId/status/beginKey),我可以帮你判断是不是有 非相邻 readwrite、或者长期处于 split/merge 中间态 导致无法继续合并。

Question

(chohotech) ananas@su:~/code/合并shard$ python merge_shard.py k8s-log-c83e0b203ed244f10a617abfb42993404 --endpoint cn-hangzhou.log.aliyuncs.com --wait-timeout=5

=== START alb-c83e0b203ed244f10a617abfb42993404 (readwrite=2) ===
[INFO] alb-c83e0b203ed244f10a617abfb42993404: MERGE round=1 choose_first_shard=0 (rw=2)
[WAIT] alb-c83e0b203ed244f10a617abfb42993404: rw=2 watched_shard=0 still readwrite... (0s)
[WAIT] alb-c83e0b203ed244f10a617abfb42993404: rw=2 watched_shard=0 still readwrite... (1s)
[WAIT] alb-c83e0b203ed244f10a617abfb42993404: rw=2 watched_shard=0 still readwrite... (2s)
[WAIT] alb-c83e0b203ed244f10a617abfb42993404: rw=2 watched_shard=0 still readwrite... (3s)
[WAIT] alb-c83e0b203ed244f10a617abfb42993404: rw=2 watched_shard=0 still readwrite... (4s)
[WARN] alb-c83e0b203ed244f10a617abfb42993404: WAIT 超时(5.0s),rw 仍为 2
[INFO] alb-c83e0b203ed244f10a617abfb42993404: rw 2 -> 2
[WARN] alb-c83e0b203ed244f10a617abfb42993404: rw 未下降(rw=2),先停止该 logstore
我想直接合并shard,不需要让logstore先停止

Réponse

你这个现象其实说明:MergeShard 是异步的,接口返回不代表立刻把 shard 状态改掉;在你设置 --wait-timeout=5 的情况下,5 秒内 shard 还没从 readwrite 变成 readonly/消失很正常,所以脚本就超时退出了。

关键点:合并 shard 不需要停 Logstore / 不需要停止写入。但你必须给它足够的时间让 merge 完成(常见几十秒到几分钟,shard 多/写入忙会更久)。你现在等 5 秒当然会失败。

你要“直接合并、不等稳定”的效果,就是:

  • 发起 merge 就继续发起下一次 → 这会立刻回到你最开始的报错:shard not exist or readonly(因为 shard 状态切换中,下一次 merge 选到的 shard 已经 readonly 或被替换)
  • 所以正确姿势是:不停止写入,但要耐心轮询(更长 timeout)或 只要发现 merge 已经开始就别重复打同一个 shard

下面我给你一个“更符合你需求”的版本:

  • 不要求 logstore 停止
  • 每次 merge 发起后,只做轻量判断:只要发现 “watched shard 不再 readwrite 或 rw 数下降”,就立刻进入下一轮
  • 默认等待更合理(180s),你可以按需调大
  • 如果 merge 还没开始/接口返回异常,会重试选 shard

✅ 修改版脚本(建议直接用这个)

python
# -*- coding: utf-8 -*- import sys import json import time import argparse from typing import List, Dict, Any, Optional, Tuple from alibabacloud_sls20201230.client import Client as Sls20201230Client from alibabacloud_sls20201230 import models from alibabacloud_credentials.client import Client as CredentialClient from alibabacloud_tea_openapi import models as open_api_models from alibabacloud_tea_util import models as util_models def create_client(endpoint: str) -> Sls20201230Client: credential = CredentialClient() config = open_api_models.Config(credential=credential) config.endpoint = endpoint return Sls20201230Client(config) def _get(obj: Any, *names: str) -> Any: if isinstance(obj, dict): for n in names: if n in obj: return obj.get(n) lower_map = {str(k).lower(): k for k in obj.keys()} for n in names: k = lower_map.get(str(n).lower()) if k is not None: return obj.get(k) return None for n in names: if hasattr(obj, n): return getattr(obj, n) return None def list_all_logstores(client: Sls20201230Client, project: str, page_size: int = 500) -> List[str]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} offset = 0 all_ls: List[str] = [] while True: req = models.ListLogStoresRequest(offset=offset, size=page_size) resp = client.list_log_stores_with_options(project, req, headers, runtime) body = resp.body batch = (body.logstores or []) if body else [] all_ls.extend(batch) total = body.total if (body and body.total is not None) else len(all_ls) if not batch or len(all_ls) >= total: break offset += len(batch) return all_ls def list_shards(client: Sls20201230Client, project: str, logstore: str) -> List[Any]: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} resp = client.list_shards_with_options(project, logstore, headers, runtime) return resp.body or [] def shard_id(s: Any) -> Optional[int]: sid = _get(s, "shardID", "shardId", "shard_id") if sid is None: return None try: return int(sid) except Exception: return None def shard_status(s: Any) -> str: st = _get(s, "status") return (st or "").lower() if isinstance(st, str) else "" def begin_key(s: Any) -> str: bk = _get(s, "inclusiveBeginKey", "inclusive_begin_key") return str(bk or "") def count_readwrite(shards: List[Any]) -> int: return sum(1 for s in shards if shard_status(s) == "readwrite") def find_adjacent_readwrite_pair(shards: List[Any]) -> Optional[int]: ss = sorted(shards, key=begin_key) for i in range(len(ss) - 1): if shard_status(ss[i]) == "readwrite" and shard_status(ss[i + 1]) == "readwrite": sid = shard_id(ss[i]) if sid is not None: return sid return None def merge_once(client: Sls20201230Client, project: str, logstore: str, first_shard_id: int) -> None: runtime = util_models.RuntimeOptions() headers: Dict[str, str] = {} client.merge_shard_with_options(project, logstore, str(first_shard_id), headers, runtime) def is_not_exist_or_readonly(err: Exception) -> bool: msg = getattr(err, "message", None) or str(err) m = msg.lower() return ("shard not exist" in m) or ("readonly" in m) def wait_merge_started_or_effect( client: Sls20201230Client, project: str, logstore: str, rw_before: int, watched_shard: int, timeout_sec: float, poll_sec: float = 1.0, quiet: bool = False, ) -> int: """ 不要求“完全完成”,只要满足其一就继续: 1) rw 数下降 2) watched shard 不再是 readwrite(变 readonly 或消失) => 说明 merge 已开始推进 """ start = time.time() while True: shards = list_shards(client, project, logstore) rw_now = count_readwrite(shards) if rw_now < rw_before: return rw_now st_map: Dict[int, str] = {} for s in shards: sid = shard_id(s) if sid is not None: st_map[sid] = shard_status(s) watched_status = st_map.get(watched_shard, "missing") if watched_status != "readwrite": # merge 已经开始推进了,直接返回当前 rw(下一轮会重新选 shard) return rw_now if time.time() - start >= timeout_sec: if not quiet: print(f"[WARN] {logstore}: wait {timeout_sec}s still no progress (rw={rw_now}, watched={watched_shard} still readwrite)", file=sys.stderr) return rw_now if not quiet: elapsed = int(time.time() - start) print(f"[WAIT] {logstore}: rw={rw_now} watched={watched_shard} still readwrite... ({elapsed}s)") time.sleep(poll_sec) def merge_logstore_to_one( client: Sls20201230Client, project: str, logstore: str, target_rw: int, max_rounds: int, wait_timeout: float, quiet: bool, ) -> Tuple[int, int]: shards = list_shards(client, project, logstore) init_rw = count_readwrite(shards) rw_now = init_rw if rw_now <= target_rw: return init_rw, rw_now rounds = 0 while rounds < max_rounds: shards = list_shards(client, project, logstore) rw_now = count_readwrite(shards) if rw_now <= target_rw: break first_id = find_adjacent_readwrite_pair(shards) if first_id is None: if not quiet: print(f"[WARN] {logstore}: no adjacent readwrite pair (rw={rw_now}), stop", file=sys.stderr) break if not quiet: print(f"[INFO] {logstore}: MERGE round={rounds+1} first_shard={first_id} (rw={rw_now})") try: merge_once(client, project, logstore, first_id) except Exception as e: # 不停止写入时,这类错误经常是“状态切换中/并发变更”,这里直接等待再选 shard if not is_not_exist_or_readonly(e): raise if not quiet: print(f"[WARN] {logstore}: merge got '{getattr(e,'message',str(e))}', will wait and retry", file=sys.stderr) rw_after = wait_merge_started_or_effect( client=client, project=project, logstore=logstore, rw_before=rw_now, watched_shard=first_id, timeout_sec=wait_timeout, poll_sec=1.0, quiet=quiet, ) if not quiet: print(f"[INFO] {logstore}: rw now {rw_after} (before was {rw_now})") # 注意:这里不要求 rw 立刻下降,只要 watched shard 已动了也继续下一轮 rounds += 1 shards = list_shards(client, project, logstore) return init_rw, count_readwrite(shards) def main(argv: List[str]) -> None: p = argparse.ArgumentParser(description="Merge logstores to make READWRITE shards become 1 (no need to stop ingestion).") p.add_argument("project") p.add_argument("--endpoint", default="cn-hangzhou.log.aliyuncs.com") p.add_argument("--min-rw", type=int, default=2) p.add_argument("--target-rw", type=int, default=1) p.add_argument("--wait-timeout", type=float, default=180.0, help="per-merge wait, default 180s (5s is too small)") p.add_argument("--max-rounds", type=int, default=500) p.add_argument("--quiet", action="store_true") p.add_argument("--json", action="store_true") args = p.parse_args(argv) client = create_client(args.endpoint) logstores = list_all_logstores(client, args.project) summary: List[Dict[str, Any]] = [] for ls in logstores: shards = list_shards(client, args.project, ls) rw = count_readwrite(shards) if rw < args.min_rw: continue if not args.quiet: print(f"\n=== START {ls} (readwrite={rw}) ===") init_rw, final_rw = merge_logstore_to_one( client=client, project=args.project, logstore=ls, target_rw=args.target_rw, max_rounds=args.max_rounds, wait_timeout=args.wait_timeout, quiet=args.quiet, ) summary.append({"logstore": ls, "initial_readwrite": init_rw, "final_readwrite": final_rw}) if args.json: print(json.dumps(summary, ensure_ascii=False, indent=2)) else: for it in summary: print(f"{it['logstore']}\t{it['initial_readwrite']}\t{it['final_readwrite']}") if __name__ == "__main__": main(sys.argv[1:])

你应该怎么跑

你刚才 --wait-timeout=5 真的太小了,建议至少 60~300 秒:

bash
python merge_shard.py k8s-log-c83e0b203ed244f10a617abfb42993404 \ --endpoint cn-hangzhou.log.aliyuncs.com \ --wait-timeout 180

如果 shard 很多、写入很忙(比如 audit 那种 rw=31),用 300 更稳:

bash
python merge_shard.py k8s-log-xxx --endpoint ap-southeast-1.log.aliyuncs.com --wait-timeout 300

重要提醒(避免你以为“必须停写”)

  • 不需要停写才能 merge
  • 但写入很忙时:
    • merge 变慢
    • shard 状态切换更频繁
    • 所以必须容忍异步(等待/轮询),否则你看到的就是“没变化 / readonly / not exist”

如果你希望我再帮你加一个“只对某几个 logstore 合并”(白名单/正则匹配),或者加“并发但限速”的版本,也可以直接说你想怎么筛选。

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