clickhouse Checksum doesn‘t match: 问题修复

  1. 问题描述

SQL 错误 [40] [07000]: Code: 40. DB::Exception: Checksum doesn't match: corrupted data. Reference: 50e8c1efa78de2881b725d44b04be1fe. Actual: 161c99eb681ec36b83540ecdd65ad8c9. Size of compressed block: 32846. The mismatch is caused by single bit flip in data block at byte 10059, bit 6. This is most likely due to hardware failure. If you receive broken data over network and the error does not repeat every time, this can be caused by bad RAM on network interface controller or bad controller itself or bad RAM on network switches or bad CPU on network switches (look at the logs on related network switches; note that TCP checksums don't help) or bad RAM on host (look at dmesg or kern.log for enormous amount of EDAC errors, ECC-related reports, Machine Check Exceptions, mcelog; note that ECC memory can fail if the number of errors is huge) or bad CPU on host. If you read data from disk, this can be caused by disk bit rot. This exception protects ClickHouse from data corruption due to hardware failures.: (while reading column id): (while reading from part /data/clickhouse/store/979/9795066e-6ea5-4550-8361-6c35d8ed9dca/7-20230727_1282473_1283947_9/ from mark 2232 with max_rows_to_read = 33022): While executing MergeTreeThread. (CHECKSUM_DOESNT_MATCH) (version 23.3.1.2823 (official build))

, server ClickHouseNode [uri={socket_timeout=300000,use_server_time_zone=false,use_time_zone=false}]@-1484630932

2.问题解决

https://github.com/marliotto/clickhouse-bitflip

使用clickhouse-bitflip修复损坏的clickhouse数据,将代码下载下来,进行build,然后修复出问题的文件。 像上面的报错,需要修复的文件是

/data/clickhouse/store/979/9795066e-6ea5-4550-8361-6c35d8ed9dca/7-20230727_1282473_1283947_9/id.bin

修复命令

./clickhouse-bitflip /data/clickhouse/store/979/9795066e-6ea5-4550-8361-6c35d8ed9dca/7-20230727_1282473_1283947_9/id.bin

相关推荐
武子康6 小时前
大数据-133 - ClickHouse 基础概述 全面了解
java·大数据·分布式·clickhouse·flink·spark
Casual_Lei8 小时前
ClickHouse 的底层架构和原理
clickhouse·架构
码爸11 小时前
flink 批量写clickhouse
java·clickhouse·flink
goTsHgo15 小时前
从底层原理上解释 clickhouse 保证完全的幂等性
数据库·clickhouse
小王是个弟弟2 天前
ClickHouse-Kafka Engine 正确的使用方式
clickhouse·kafka
武子康2 天前
大数据-134 - ClickHouse 集群三节点 安装配置启动
java·大数据·分布式·clickhouse·架构·flink
Hello.Reader3 天前
深入理解 ClickHouse 的性能调优与最佳实践
大数据·数据仓库·clickhouse·数据分析
尘世中迷途小码农4 天前
ClickHouse总结
clickhouse
goTsHgo4 天前
Clickhouse如何完全保证数据的去重
数据库·clickhouse
goTsHgo4 天前
从底层原理上理解ClickHouse 中的稀疏索引
数据库·clickhouse