pm.uuid as uuid, pm.metric_uuid as metricUuid, pm.component_uuid as componentUuid, pm.analysis_uuid as analysisUuid, pm.value as value, pm.text_value as textValue, pm.alert_status as alertStatus, pm.alert_text as alertText, pm.measure_data as dataValue select from project_measures pm inner join metrics m on m.uuid = pm.metric_uuid inner join snapshots s on s.uuid = pm.analysis_uuid where pm.component_uuid = #{componentUuid,jdbcType=VARCHAR} and m.name = #{metricKey,jdbcType=VARCHAR} and s.islast= ${_true} select from project_measures pm inner join metrics m on m.uuid = pm.metric_uuid inner join snapshots s on s.uuid = pm.analysis_uuid where pm.component_uuid = #{componentUuid,jdbcType=VARCHAR} and m.name = #{metricKey,jdbcType=VARCHAR} and s.uuid = #{analysisUuid,jdbcType=VARCHAR} inner join snapshots analysis on analysis.uuid = pm.analysis_uuid inner join metrics m on m.uuid = pm.metric_uuid select from project_measures pm inner join snapshots analysis on analysis.uuid = pm.analysis_uuid where pm.component_uuid = #{query.componentUuid, jdbcType=VARCHAR} and analysis.created_at>=#{query.from, jdbcType=BIGINT} and analysis.created_at<#{query.to, jdbcType=BIGINT} and pm.metric_uuid in #{metricUuid, jdbcType=VARCHAR} and analysis.status=#{query.status, jdbcType=VARCHAR} insert into project_measures ( uuid, value, metric_uuid, component_uuid, analysis_uuid, text_value, alert_status, alert_text, measure_data) VALUES ( #{uuid, jdbcType=VARCHAR}, #{value, jdbcType=DOUBLE}, #{metricUuid, jdbcType=VARCHAR}, #{componentUuid, jdbcType=VARCHAR}, #{analysisUuid, jdbcType=VARCHAR}, #{textValue, jdbcType=VARCHAR}, #{alertStatus, jdbcType=VARCHAR}, #{alertText, jdbcType=VARCHAR}, #{dataValue, jdbcType=BINARY} )