Comments (5)
应该还是环境问题,建议参考官方 README https://github.com/taosdata/TDengine/blob/develop/README.md 步骤完整重复一遍
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应该还是环境问题,建议参考官方 README https://github.com/taosdata/TDengine/blob/develop/README.md 步骤完整重复一遍
我就是按照官方的步骤走的,在另一台服务器上按照相同的流程试过,另一台服务器上是可以成功的,但那台性能不太好,这台性能好很多所以想过来问问有没有解决的办法
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我们发版机器就是 Ubuntu 1804 标准版,也有 CI 编译保证,不会有问题的。如果你在另外一个机器可以,现在这个服务器完全重装一下肯定没问题的
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好的,谢谢
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问题已经解决,找了一下发现是snappy静态链接库的问题,在和另外一台服务器的输出做对比时发现另一台服务器找的是动态链接库
-- Found Snappy: /usr/lib/x86_64-linux-gnu/libsnappy.so
Enabled snappy codec
而这一台是先找到的静态链接库
-- Found Snappy: /usr/local/lib/libsnappy.a
Enabled snappy codec
手动将所有link.txt中的/usr/local/lib/libsnappy.a替换成-lsnappy后成功编译
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Related Issues (20)
- ERROR: Failed to open file /home/taosdb/backups001/dbs.sql HOT 19
- Data backup is an sql file HOT 6
- ERROR: writeResultToAvroNative() LN5048, actual dump out: 5280, batch 126668 HOT 6
- restore not finish since 1162283680 items in apply queue
- unreadable code HOT 1
- build failed HOT 1
- 3.0.1.8 version windows open taosdump.exe failed HOT 8
- taosdump 2.3.2 Restore incomplete HOT 4
- taosdump 数据增量备份问题 HOT 3
- taosbenchmark交错插入模式报错 HOT 1
- taosBenchmark测试insert_mode改为sml后报错 HOT 2
- 请问 TDengine 什么版本?taosBenchmark 什么版本?
- aarch64 编译报错 HOT 3
- sml模式是否可以写入指定csv文件的数据?
- taosdump导入数据非常慢 HOT 5
- 连taos-tools都编译不过,在ubuntu22上,无语 HOT 7
- 不支持带小数点的表名导入
- taosBenchmark: ERROR: unknown data type: BIGINT UNSIGNED
- 使用taosdump 备份数据出现 double free 问题 HOT 1
- 使用taodump备份,无法导入 HOT 1
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