Skip to main content

How to find index with same columns but different name between two oracle databases.

How to find index with same columns but different name between two databases.

select
targetDB.idx targetDB_index, targetDB.tbl targetDB_table, targetDB.cols targetDB_cols, sourceDB.idx sourceDB_index, sourceDB.tbl sourceDB_table, sourceDB.cols sourceDB_cols,
'ALTER INDEX ' || targetDB.idx || ' RENAME TO ' || sourceDB.idx || ';' sqlchg
from
(select
index_name idx,
table_name tbl,
ltrim(max(sys_connect_by_path(column_name, ','))
keep (dense_rank last order by curr), ',') as cols
from
(select
index_name,
table_name,
column_name,
row_number() over (partition by index_name, table_name order by column_position) as curr,
row_number() over (partition by index_name, table_name order by column_position) -1 as prev
from
user_ind_columns@sourceDB
where index_name not like 'SYS_%')
group by index_name, table_name
connect by prev = PRIOR curr and index_name = PRIOR index_name and table_name = PRIOR table_name
start with curr = 1
order by idx, tbl) sourceDB,
(select
index_name idx,
table_name tbl,
ltrim(max(sys_connect_by_path(column_name, ','))
keep (dense_rank last order by curr), ',') as cols
from
(select
index_name,
table_name,
column_name,
row_number() over (partition by index_name, table_name order by column_position) as curr,
row_number() over (partition by index_name, table_name order by column_position) -1 as prev
from
user_ind_columns
where index_name not like 'SYS_%')
group by index_name, table_name
connect by prev = PRIOR curr and index_name = PRIOR index_name and table_name = PRIOR table_name
start with curr = 1
order by idx, tbl) targetDB
where
targetDB.tbl = sourceDB.tbl
and targetDB.cols = sourceDB.cols
and targetDB.idx != sourceDB.idx
order by targetDB.idx, targetDB.tbl;

Comments

Popular posts from this blog

Haproxy and tomcat JSESSIONID

One of the biggest problems I have been trying to solve at our startup is to put our tomcat nodes in HA mode. Right now if a customer comes, he lands on to a node and remains there forever. This has two major issues: 1) We have to overprovision each node with ability to handle worse case capacity. 2) If two or three high profile customers lands on to same node then we need to move them manually. 3) We need to cut over new nodes and we already have over 100+ nodes.  Its a pain managing these nodes and I waste lot of my time in chasing node specific issues. I loath when I know I have to chase this env issue. I really hate human intervention as if it were up to me I would just automate thing and just enjoy the fruits of automation and spend quality time on major issues rather than mundane task,call me lazy but thats a good quality. So Finally now I am at a stage where I can put nodes behing HAProxy in QA env. today we were testing the HA config and first problem I immediately

Adding Jitter to cache layer

Thundering herd is an issue common to webapp that rely on heavy caching where if lots of items expire at the same time due to a server restart or temporal event, then suddenly lots of calls will go to database at same time. This can even bring down the database in extreme cases. I wont go into much detail but the app need to do two things solve this issue. 1) Add consistent hashing to cache layer : This way when a memcache server is added/removed from the pool, entire cache is not invalidated.  We use memcahe from both python and Java layer and I still have to find a consistent caching solution that is portable across both languages. hash_ring and spymemcached both use different points for server so need to read/test more. 2) Add a jitter to cache or randomise the expiry time: We expire long term cache  records every 8 hours after that key was added and short term cache expiry is 2 hours. As our customers usually comes to work in morning and access the cloud file server it can happe

Spring 3.2 quartz 2.1 Jobs added with no trigger must be durable.

I am trying to enable HA on nodes and in that process I found that in a two test node setup a job that has a frequency of 10 sec was running into deadlock. So I tried upgrading from Quartz 1.8 to 2.1 by following the migration guide but I ran into an exception that says "Jobs added with no trigger must be durable.". After looking into spring and Quartz code I figured out that now Quartz is more strict and earlier the scheduler.addJob had a replace parameter which if passed to true would skip the durable check, in latest quartz this is fixed but spring hasnt caught up to this. So what do you do, well I jsut inherited the factory and set durability to true and use that public class DurableJobDetailFactoryBean extends JobDetailFactoryBean {     public DurableJobDetailFactoryBean() {         setDurability(true);     } } and used this instead of JobDetailFactoryBean in the spring bean definition     <bean id="restoreJob" class="com.xxx.infrastructure.quar