select result.*, field.field_name from analysis_result result left join sys_organization_auth auth on result.field_code = auth.code_number left join wind_field field on result.field_code = field.field_code where auth.role_id = #{roleId,jdbcType=INTEGER} and field.field_name like concat('%', #{fieldName,jdbcType=VARCHAR}, '%') and result.analysis_name like concat('%', #{analysisName,jdbcType=VARCHAR}, '%') and result.analysis_state = #{analysisState} and result.err_state = #{errState} order by result.update_time desc select field.field_name, result.field_code, result.batch_code, result.analysis_state, result.err_state, result.err_info, result.create_time, result.analysis_progress, result.on_off_call, result.analysis_name, result.data_start_time, result.data_end_time, result.sketch, result.data_type_code, result.analysis_start_time, result.analysis_finish_time, type.transfer_type_name as data_type_name from analysis_result result left join wind_field field on result.field_code = field.field_code left join data_transfer_type type on result.data_type_code = type.transfer_type where result.field_code = #{fieldCode} order by result.update_time desc select count(*) from analysis_result where analysis_state in (10,20) select batch_code, analysis_name from analysis_result where field_code = #{fieldCode} select * from analysis_result where batch_code = #{batchCode,jdbcType=VARCHAR} select * from analysis_result where id in ( select max( id ) from analysis_result group by field_code having field_code in #{item,jdbcType=VARCHAR} ) and analysis_start_time between #{startTime,jdbcType=VARCHAR} and #{endTime,jdbcType=VARCHAR} select count(*) from analysis_result where analysis_state = 10 or analysis_state = 20 select count(*) from analysis_result where analysis_state = 20 select result.field_code, field.field_name from analysis_result result left join wind_field field on result.field_code = field.field_code left join sys_organization_auth auth on result.field_code = auth.code_number where auth.role_id = #{roleId} and result.analysis_name like concat('%',#{analysisName},'%') and result.batch_code = #{batchCode}; and field.field_name like concat('%',#{fieldName},'%') group by result.field_code, field.field_name order by result.update_time desc update analysis_result set on_off_call = #{onOffCall,jdbcType=INTEGER} where batch_code = #{batchCode,jdbcType=VARCHAR} update analysis_result set call_status = 1 where batch_code = #{batchCode,jdbcType=VARCHAR} update analysis_result set analysis_state = 10, err_state = 0, err_code = '', err_info = '', analysis_progress = 0.00, data_start_time = null, data_end_time = null, data_type_code = '', analysis_start_time = null, analysis_finish_time = null where analysis_state = -1 or analysis_state = 30 and batch_code = #{batchCode,jdbcType=VARCHAR} update analysis_result set err_state = 0, err_code = '', err_info = '', data_start_time = #{beginTime,jdbcType=INTEGER}, data_end_time = #{endTime,jdbcType=VARCHAR}, data_type_code = #{scada,jdbcType=VARCHAR}, analysis_start_time = now(), update_time = now(), update_by = #{updateBy,jdbcType=INTEGER} where batch_code = #{dataBatchNum,jdbcType=VARCHAR}