Nextbrick

Italia Online

Case Study #1 Solr Italia Online

Solr version : 8.8
# of nodes: 2 clusters each 5 nodes
hardware specs (CPU disk Servers) : 40gb memory, 12 cues , 70%
Index size on disk 15 gb
Query load 100 million queries per day
Data ingestion frequency : Real time constantly
No. of documents per collection 4 million docs / 1 collection
What all features of solr they are using? Faceting , grouping , highlighting , autosuggest
Technology of front end application: Python application
Query response time before NB services : 4 seconds
Query response time after NB services : 100m

Switch solrconfig Solr 6.2 -> solr 8.8
Increase soft commit to 30 secs and hard commit to 120 secs
Grouping -> Collapsing
Change facet.limit=-1 to 1000 for fields cd_id_sede_group_ft & ds_ls_kwd_fam_ita_ve_f
Use use facet.method=enum for field fl_service
Enable docvalues for field ds_ls_cat_ita
Change replica type to TLOG for 2 and PULL for 3
Increase soft commit to 90 secs and hard commit to 240 secs
Nested Documents
Increase RAM in all 10 Solr nodes from 40G to 50G
Use G1GC instead of ConcurrentMarkSweep
Added middle level of cache
Increasing the replica count by double