c_sql = "SELECT * FROM ods_base.time_temp limit 10" #sql语句 data = client.query_dataframe(c_sql) print(data.head()) 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 以上代码就是我们通过跳板机和SSH协议并成功访问服务器上的ClickHouse,其实不...
(numpy_columns=True))>>>client.execute('SELECT a, b from TABLE',columnar=True) [array([0,3,0, ...,2,0,1],dtype=uint8),array([1,0,4, ...,0,0,0],dtype=uint8)]>>>client.query_dataframe('SELECT a, b FROM table')ab001130204300400... .. ..96045192009604519300960451942096045195009...
() ORDER BY tuple()') df_insert = pd.DataFrame({'x': [1,2],'y': ['apple','banana'], }, dtype=object) client.insert_dataframe('INSERT INTO test_df VALUES', df_insert) df_select = client.query_dataframe('SELECT * FROM test_df')print(df_select)# x y# 0 1 apple# 1 2 ...
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clickhouse-client --query =“select * from test_backup” > /chbase/test_back_up.tsv/ 导入备份数据: cat /chbase/test_backup.csv | clickhosue-client --query “insert into test_backup format tsv” 优点:可以通过select 语句筛选 部分数据 ...