对于SQLite3，无法直接使用INTO OUTFILE语句将查询结果导出到文件。您可以使用以下步骤来适应SQLite3：
- 创建一个视图，包含所需的列和表之间的所有连接。
- 使用
SELECT语句从该视图中选择数据。 - 将结果保存到CSV文件。
下面是将原始MySQL SQL转换为SQLite3 SQL的示例：
CREATE VIEW my_view AS
SELECT b.name AS name, b.type AS backup_type, sp1.name AS source_pool_name, sp2.name AS target_pool_name,
backup_start_time, b.size AS backup_set_size, start_time, finish_time, rj.state, target_size AS storage_size
FROM replicate_job rj
LEFT JOIN backup_set b ON b.uuid = rj.set_uuid
LEFT JOIN replicate_task rt ON rt.job_id = rj.id
LEFT JOIN backup_set_storage bs1 ON bs1.set_uuid = rj.set_uuid AND bs1.pool_uuid = rj.source_pool_uuid
LEFT JOIN backup_set_storage bs2 ON bs2.set_uuid = rj.set_uuid AND bs2.pool_uuid = rj.target_pool_uuid
LEFT JOIN storage_pool sp1 ON sp1.uuid = rj.source_pool_uuid
LEFT JOIN storage_pool sp2 ON sp2.uuid = rj.target_pool_uuid
WHERE rj.create_time >= date('now', '-7 days');
.mode csv
.headers on
.output '/path/to/your/csv/file.csv'
SELECT * FROM my_view;
请注意替换示例中的'/path/to/your/csv/file.csv'为您要保存CSV文件的实际路径。
然后，您可以在SQLite3中执行上述SQL脚本，将查询结果保存到CSV文件中。
内容由零声教学AI助手提供，问题来源于学员提问
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