c.id, c.kee as kee, c.issue_key as issueKey, c.user_login as userLogin, c.change_type as changeType, c.change_data as changeData, c.created_at as createdAt, c.updated_at as updatedAt, c.issue_change_creation_date as issueChangeCreationDate INSERT INTO issue_changes (kee, issue_key, user_login, change_type, change_data, created_at, updated_at, issue_change_creation_date) VALUES (#{kee,jdbcType=VARCHAR}, #{issueKey,jdbcType=VARCHAR}, #{userLogin,jdbcType=VARCHAR}, #{changeType,jdbcType=VARCHAR}, #{changeData,jdbcType=VARCHAR}, #{createdAt,jdbcType=BIGINT}, #{updatedAt,jdbcType=BIGINT}, #{issueChangeCreationDate,jdbcType=BIGINT}) delete from issue_changes where kee=#{id} update issue_changes set change_data=#{changeData}, updated_at=#{updatedAt} where kee=#{kee} select from issue_changes c where c.change_type=#{changeType} and c.issue_key in #{key} order by c.created_at select from issue_changes c where c.change_type=#{changeType} and c.kee=#{key} select from issue_changes c where c.issue_key=#{id} order by created_at asc select from issue_changes c inner join issues i on i.kee = c.issue_key where i.component_uuid=#{componentUuid} and c.change_type=#{changeType} and i.status <> 'CLOSED'