select o.id, o.org_no, o.org_name, o.stage, (o.channel_id_mj is not null or o.channel_id_law is not null) as has_channel, lc.name as lawyer_name, mc.name as mj_name, o.lawyer_assigned_date, coalesce(rv.total, 0) as review_total, coalesce(rv.done, 0) as review_done, coalesce(pr.total, 0) as process_total, coalesce(pr.done, 0) as process_done, (extract(epoch from sh.stage_at) * 1000)::bigint as stage_changed_at, (extract(epoch from greatest(o.updated_at, sh.any_at, rv.last_at, pr.last_at, wm.last_at)) * 1000)::bigint as last_changed_at, coalesce(re.unresolved, 0) as re_count from organization o left join ( select org_id, count(*) as unresolved from re_memo where not resolved group by org_id ) re on re.org_id = o.id left join contact lc on lc.id = o.lawyer_contact_id left join contact mc on mc.id = o.mj_contact_id left join ( select org_id, count(*) as total, count(*) filter (where review_result is not null and review_result <> '') as done, max(updated_at) as last_at from review_item group by org_id ) rv on rv.org_id = o.id left join ( select org_id, count(*) as total, count(*) filter (where process_status = #{doneStatus}) as done, max(updated_at) as last_at from process_item group by org_id ) pr on pr.org_id = o.id left join ( select org_id, max(created_at) as last_at from work_memo group by org_id ) wm on wm.org_id = o.id left join lateral ( select max(h.changed_at) filter (where h.stage = o.stage) as stage_at, max(h.changed_at) as any_at from stage_history h where h.org_id = o.id ) sh on true order by o.org_no asc, o.org_name asc