我以前使用的MySQL版本,包括在AWS RDS中运行的8.0.21版本,从未遇到过这个问题。我有一个仅在每年运行一次的查询。以下是相关代码:
create table medicare_fee_history (
year int unsigned,
mac int unsigned,
locality int unsigned,
hcpcs varchar(10),
modifier varchar(10),
index (mac, locality, hcpcs, modifier),
non_facility decimal(17, 4),
facility decimal(17, 4)
) engine = myisam;
load data local infile 'PFALL.csv'
into table medicare_fee_history
fields terminated by ',' enclosed by '"'
(year, mac, locality, hcpcs, modifier, non_facility, facility);
create table medicare_fee_first (
year int unsigned,
hcpcs varchar(10),
modifier varchar(10),
index (hcpcs, modifier),
facility decimal(17, 4),
non_facility decimal(17, 4)
) engine = myisam;
insert into medicare_fee_first (year, hcpcs, modifier, facility, non_facility)
(
select min(year), hcpcs, modifier, avg(facility), avg(non_facility)
from medicare_fee_history group by hcpcs, modifier
);
在插入选择期间,我遇到了以下错误:
ERROR 1114 (HY000):表 '/tmp/#sql4984_9_3' 已满
medicare_fee_history 表有 16042724 行数据。要复现此问题,可以在此处找到数据集。
该查询通常返回 10823 行数据。如果去除 avg(facility) 和 avg(non_facility) ,则似乎可以工作。/tmp 中有足够的空间。100G 的空间中有92% 的空闲空间。我将 tmp_table_size 设置为最大值。以下是当前服务器设置:
mysql> show variables like '%tmp%';
+---------------------------------+----------------------+
| Variable_name | Value |
+---------------------------------+----------------------+
| default_tmp_storage_engine | InnoDB |
| innodb_tmpdir | |
| internal_tmp_mem_storage_engine | TempTable |
| slave_load_tmpdir | /tmp |
| tmp_table_size | 18446744073709551615 |
| tmpdir | /tmp |
+---------------------------------+----------------------+
6 rows in set (0.00 sec)
mysql> show variables like '%temp%';
+-----------------------------+-----------------------+
| Variable_name | Value |
+-----------------------------+-----------------------+
| avoid_temporal_upgrade | OFF |
| innodb_temp_data_file_path | ibtmp1:12M:autoextend |
| innodb_temp_tablespaces_dir | ./#innodb_temp/ |
| show_old_temporals | OFF |
| temptable_max_mmap | 1073741824 |
| temptable_max_ram | 1073741824 |
| temptable_use_mmap | ON |
+-----------------------------+-----------------------+
7 rows in set (0.00 sec)
你有任何解决这个问题的想法吗?
index(hcpcs,modifier,mac,locality)
似乎更适用于medicare_fee_history
。 - Joop Eggen