select a.ID , a.UNIT_ADDRESS , pb.FILE_TYPE from ECP_AUDIT a left join ECP_AUDIT_REPORT_CONFIRM pb on a.ID = pb.AUDIT_ID group by a.id帮我检查错误
时间: 2024-02-21 12:00:09 浏览: 21
这个 SQL 语句有两个问题:
1. SELECT 子句中的列没有被聚合或者被指定为 GROUP BY 子句的一部分,这意味着在其他数据库中执行此查询时可能会导致错误,因为并不是所有数据库都支持这种类型的查询。可以使用聚合函数来解决这个问题,例如 AVG、SUM 或 COUNT。
2. GROUP BY 子句中只有 a.id 列被指定为分组列,但 SELECT 子句中有三列,这可能会导致查询结果不准确或者出现错误。您可以将 GROUP BY 子句中的列添加到 SELECT 子句中,或者使用聚合函数来计算包括在 SELECT 子句中的列的值。
以下是修改后的 SQL 语句:
```
SELECT a.ID, a.UNIT_ADDRESS, pb.FILE_TYPE, AVG(pb.SOME_COLUMN)
FROM ECP_AUDIT a
LEFT JOIN ECP_AUDIT_REPORT_CONFIRM pb ON a.ID = pb.AUDIT_ID
GROUP BY a.ID, a.UNIT_ADDRESS, pb.FILE_TYPE;
```
这个修改后的 SQL 语句将 pb.SOME_COLUMN 的平均值添加到了 SELECT 子句中,并将 GROUP BY 子句中的所有列都添加到了 SELECT 子句中。这样可以确保查询结果准确。
相关问题
self.update_audit_created_column(ranked_df,key_column)
这段代码的作用是给 `ranked_df` 数据框中的每一行添加一个名为 `audit_created` 的列,并将该列的值设置为当前时间。具体实现的方法是通过调用 `self` 对象的 `update_audit_created_column` 方法,并传入 `ranked_df` 和 `key_column` 作为参数。在该方法中,会使用 PySpark 的 `withColumn` 方法在 `ranked_df` 中添加一个名为 `audit_created` 的列,并使用 `current_timestamp` 函数设置该列的值为当前时间。最后,该方法会返回添加了 `audit_created` 列的 `ranked_df` 数据框。
SELECT bs.report_no, bs.sample_id, bs.test_id, bs.service_type, bs.sample_name, bs.total_fee, bs.receivable_fee, bs.sample_no, bs.ranges, bs.grade, bs.sample_remark AS remark, bs.factory, bs.item_name, bs.apply_dept, bs.specification, bs.factory_number, bs.calibrat_point, bs.mandatory_flag, bs.inspection_type, bs.report_org_name, bs.plan_complete_date, bs.standard_instrument_name, bs.bleeding_site_name, bs.arrive_date, DATEDIFF( bs.plan_complete_date, NOW()) AS surplus_days, bs.order_no, bs.order_type, bs.customer_name, bs.order_id, bs.business_type, bs.group_id, bs.group_name, bs.item_id, bs.is_merge, bs.pass_time, bs.audit_time, bs.report_id, bs.compile_time, bs.generate_time, bs.pass_user_name, bs.audit_user_name, bs.compile_user_name, bs.report_state, bs.is_just_certificate, bs.label_price, bs.labor_cost, bs.product_type, bs.batch_number, bs.original_number, bs.type_no, bs.template_id, bs.template_version, bs.standard_instrument_id, bs.standard_instrument_name, bs.report_query_code, bs.test_user_id, bs.test_user_name, bs.test_time, bs.review_user_id, bs.review_user_name, bs.review_time, bs.or_number, bs.test_result, bs.test_result_text, bs.test_date, bs.test_address, bs.result_value, bs.unit, bs.test_dept_id, bs.test_dept_name, bs.sample_mass, bs.form, bs.color, bs.clarity, bs.amplification_detection, bs.precious_metal, bs.remarks, bs.photo, bs.identifying_code, bs.diamond_quality, bs.hand_ring, bs.craft, bs.instrument_photo, bs.customer_item_basis, bs.quality_photo, bs.check_point, bs.check_code, bs.mass_unit, bs.manufacturer_name, bs.manufacturer_addr, bs.result_sample_describe AS sampleDescribe, bs.test_rule AS metalRuleIdsStr, bsa.attach_id FROM view_sample_info bs JOIN bus_sample_report bsr ON bs.report_id = bsr.id JOIN bus_sample sa ON bsr.sample_id = sa.id JOIN bus_sample_attr bsa ON sa.id = bsa.id 需要按照bs.report_no 的整数来从小到大进行排序
你可以使用以下SQL语句来按照bs.report_no的整数值从小到大进行排序:
```sql
SELECT
bs.report_no,
bs.sample_id,
bs.test_id,
bs.service_type,
bs.sample_name,
bs.total_fee,
bs.receivable_fee,
bs.sample_no,
bs.ranges,
bs.grade,
bs.sample_remark AS remark,
bs.factory,
bs.item_name,
bs.apply_dept,
bs.specification,
bs.factory_number,
bs.calibrat_point,
bs.mandatory_flag,
bs.inspection_type,
bs.report_org_name,
bs.plan_complete_date,
bs.standard_instrument_name,
bs.bleeding_site_name,
bs.arrive_date,
DATEDIFF(bs.plan_complete_date, NOW()) AS surplus_days,
bs.order_no,
bs.order_type,
bs.customer_name,
bs.order_id,
bs.business_type,
bs.group_id,
bs.group_name,
bs.item_id,
bs.is_merge,
bs.pass_time,
bs.audit_time,
bs.report_id,
bs.compile_time,
bs.generate_time,
bs.pass_user_name,
bs.audit_user_name,
bs.compile_user_name,
bs.report_state,
bs.is_just_certificate,
bs.label_price,
bs.labor_cost,
bs.product_type,
bs.batch_number,
bs.original_number,
bs.type_no,
bs.template_id,
bs.template_version,
bs.standard_instrument_id,
bs.standard_instrument_name,
bs.report_query_code,
bs.test_user_id,
bs.test_user_name,
bs.test_time,
bs.review_user_id,
bs.review_user_name,
bs.review_time,
bs.or_number,
bs.test_result,
bs.test_result_text,
bs.test_date,
bs.test_address,
bs.result_value,
bs.unit,
bs.test_dept_id,
bs.test_dept_name,
bs.sample_mass,
bs.form,
bs.color,
bs.clarity,
bs.amplification_detection,
bs.precious_metal,
bs.remarks,
bs.photo,
bs.identifying_code,
bs.diamond_quality,
bs.hand_ring,
bs.craft,
bs.instrument_photo,
bs.customer_item_basis,
bs.quality_photo,
bs.check_point,
bs.check_code,
bs.mass_unit,
bs.manufacturer_name,
bs.manufacturer_addr,
bs.result_sample_describe AS sampleDescribe,
bs.test_rule AS metalRuleIdsStr,
bsa.attach_id
FROM
view_sample_info bs
JOIN bus_sample_report bsr ON bs.report_id = bsr.id
JOIN bus_sample sa ON bsr.sample_id = sa.id
JOIN bus_sample_attr bsa ON sa.id = bsa.id
ORDER BY CAST(bs.report_no AS UNSIGNED) ASC;
```
这将按照bs.report_no的整数值从小到大对结果进行排序。