oralce大数据处理常用方法
发布时间:2020-12-14 02:56:23 所属栏目:大数据 来源:网络整理
导读:oralce大数据处理常用方法: 1.创建分区表 create table TG_CDR_CD_D_TEM( DEAL_TIME VARCHAR2(8),USER_ID NUMBER(16),MSISDN VARCHAR2(40),MOC_CALL_TIMERS NUMBER(12)) partition by list (DEAL_TIME)(? partition TG_CDR_CD_D_20140710 values ('20140710
oralce大数据处理常用方法: 1.创建分区表 create table TG_CDR_CD_D_TEM ( DEAL_TIME VARCHAR2(8),USER_ID NUMBER(16),MSISDN VARCHAR2(40),MOC_CALL_TIMERS NUMBER(12) ) partition by list (DEAL_TIME) ( ? partition TG_CDR_CD_D_20140710 values ('20140710') ? ? tablespace CMRSDATA ? ? pctfree 10 ? ? pctused 40 ? ? initrans 1 ? ? maxtrans 255 ? ? storage ? ? ( ? ? ? initial 8M ? ? ? next 1M ? ? ? minextents 1 ? ? ? maxextents unlimited ? ? ),? partition TG_CDR_CD_D_20140720 values ('20140720') ? ? tablespace CMRSDATA ? ? pctfree 10 ? ? pctused 40 ? ? initrans 1 ? ? maxtrans 255 ? ? storage ? ? ( ? ? ? initial 8M ? ? ? next 1M ? ? ? minextents 1 ? ? ? maxextents unlimited ? ? ) ? );3.删除数据,删除一个的数据大概1千万 BEGIN EXECUTE IMMEDIATE 'alter table TG_CDR_CD_D_TEM drop partition TG_CDR_CD_D_<span style="font-family: Arial,Helvetica,sans-serif;">20140710‘</span>; EXCEPTION WHEN OTHERS THEN NULL; END;添加分区 execute immediate 'alter table TG_CDR_CD_D_TEM add partition TG_CDR_CD_D_' || V_DAY || ' values('''|| V_DAY ||''')'; 4.快速筛选大表中相关数据 --创建临时表 沉淀本期数据到临时表 EXECUTE IMMEDIATE 'create table TG_CDR_CD_D_TEM1 nologging parallel 8 as SELECT /*+ parallel(c,8) */ '||V_DAY||' V_DAY,USER_ID,MSISDN,SUM(MOC_CALL_TIMERS) MOC_CALL_TIMERS FROM TG_CDR_CD_D_TEM c WHERE C.DEAL_TIME >= '||BEGIN_DATE||' AND C.DEAL_TIME <= '||END_DATE||' GROUP BY USER_ID,MSISDN';5.高效率插入数据 EXECUTE IMMEDIATE 'INSERT INTO TG_CDR_CD_D_TEM nologging SELECT /*+ parallel(c,8) */ V_DAY,MOC_CALL_TIMERS FROM TG_CDR_CD_D_TEM1 c '; COMMIT; EXECUTE IMMEDIATE ' create index TG_CDR_CD_D_HIGH_TEM_index on TG_CDR_CD_D_HIGH_TEM ( USER_ID)'; 7.删除索引 EXECUTE IMMEDIATE ' drop index TG_CDR_CD_D_HIGH_TEM_index '; (编辑:李大同) 【声明】本站内容均来自网络,其相关言论仅代表作者个人观点,不代表本站立场。若无意侵犯到您的权利,请及时与联系站长删除相关内容! |