NET 6 introduces a new Parallel.ForEachAsync method, meaning that you dont need to write your own implementation of the async variant. SELECT LOANIAMRR_ACNT_NUM, MAX (ll.LOANIAMRR_VALUE_DATE) With the Dataflow variant, I was able to cut another 3 minutes off of the time to process the whole collection. So you need to make that inner query more efficient or run it less times.Ĭonsider an index on LOANIAMRR_ENTITY_NUM,LOANIAMRR_ACNT_NUM,LOANIAMRR_VALUE_DATE The main difference occurs if you sometimes have a burst of updates on content which it may take a long time to crawl. If there's thousands (or millions of rows) then that can quickly add up. Multiple continuous crawls can run at the same time (for the same content source) and they update the index continuously. The key here is the expense of the running that inner subquery for each row that satisfies the base predicate (WHERE l.LNACNT_ENTITY_NUM=1). In my case, this is 40 minutes, with two 30 minute loads and one 20 minute load. It has a triangular infill I generated using facets. The length of time for the whole process is now determined by how long the biggest partition takes to load.
Parallels update taking a very long time full#
UPDATE LOANACNTS l set l.LNACNT_RTMP_LAST_DATE=(SELECT /*+parallel (32) */ MAX (ll.LOANIAMRR_VALUE_DATE)ĪND ll.LOANIAMRR_ACNT_NUM=l.LNACNT_INTERNAL_ACNUMĬost: 2,997,377,100 Bytes: 20,317,920 Cardinality: 967,520ģ PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ20000 :Q2000Ĭost: 140 Bytes: 20,317,920 Cardinality: 967,520Ģ PX BLOCK ITERATOR PARALLEL_COMBINED_WITH_CHILD :Q2000ġ TABLE ACCESS FULL TABLE PARALLEL_COMBINED_WITH_PARENT SBLP.LOANACNTS :Q2000ĩ SORT GROUP BY Cost: 3,098 Bytes: 20 Cardinality: 1ħ PX SEND QC (RANDOM) PARALLEL_TO_SERIAL SYS.:TQ10000 :Q1000Ĭost: 3,098 Bytes: 3,220 Cardinality: 161Ħ PX BLOCK ITERATOR PARALLEL_COMBINED_WITH_CHILD :Q1000ĥ TABLE ACCESS FULL TABLE PARALLEL_COMBINED_WITH_PARENT SBLP.LOANIAMRR :Q1000ĪND ll.LOANIAMRR_ACNT_NUM = l.LNACNT_INTERNAL_ACNUM Rather than having one load which took 2 hours, I run 4 parallel loads, one for each partition. If you have a low-speed Internet connection.
First, let's deal with the reason for this. But the query is very costly and taking huge time to complete. This unfortunately means that its installation takes a long time. Dear tom, i am using a query that update a column of one table.