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Everyday Developer

Tips, discussion and sample code on various software programming topics to help enrich skill set and knowledge of every day developer.

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everyday developer,for example,public interface queryprocessor,private map,override,if indx,for map entry,getquery ;,if and equalsignorecase mmop,else,return bq;,posted by bhawnasingh,1 comments,labels qparser,query processor,searchcomponent,solr ranking
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Everyday Developer | everydaydeveloper.blogspot.com Reviews

https://everydaydeveloper.blogspot.com

Tips, discussion and sample code on various software programming topics to help enrich skill set and knowledge of every day developer.

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1

Everyday Developer: March 2013

http://everydaydeveloper.blogspot.com/2013_03_01_archive.html

Wednesday, March 13, 2013. Minimum Match per index field: SOLR Ranking and Relevance improvement. With SOLR minimum match parameter (mm), the constraint is applied on all the fields used in the matching (qf) collectively. So, if the query is of two keywords, and each keyword was found in different matching fields, the document is deemed matched and relevant. Qf = title, description, keyword. Q= adopt a pet dog, where the matching keywords are “adopt”, “pet” and “dog”. Since the minimum match (mm) field i...

2

Everyday Developer: JMeter setup for QPS evaluation

http://everydaydeveloper.blogspot.com/2011/05/jmeter-setup-for-qps-evaluation.html

Thursday, May 26, 2011. JMeter setup for QPS evaluation. Jmeter is a feature rich tool to load test and analyze your system. Here I plan to share the steps of setting up a simple Jmeter test to evaluate the throughput and determine the QPS (query per second) the system can support. To setup this test we will start with downloading and setting up your Jmeter. Step 1: Add a Thread Group to your Jmeter test plan. Right Click on Test Plan and Add - Threads (Users) - Thread Group. Right Click on HTTP Request ...

3

Everyday Developer: February 2013

http://everydaydeveloper.blogspot.com/2013_02_01_archive.html

Monday, February 18, 2013. SOLR: Unordered exact match - Restrict matching based on token count. Setting Token Count field. First we will add the token count field in our Schema to hold the count of tokens for the field “title”. Field name="titleToken" type="int" indexed="true" stored="true" /. Field name="title" type="text" indexed="true" stored="true" /. Public class QueryTokenComponent extends SearchComponent implements SolrCoreAware {. Private String fieldname = “title”. Private Analyzer analyzer;.

4

Everyday Developer: Unix - find and remove files

http://everydaydeveloper.blogspot.com/2010/03/unix-find-and-remove-files_29.html

Monday, March 29, 2010. Unix - find and remove files. Since rm command does not support searching of files we need to use find and rm command in combination. While working with searching and removing files today, I thought, I will share with you some of these combinations to make your search easy. Search files matching a certain pattern viz, '&'. Find -name "*&*" -and –not –name " ". Find –type f -name "*&*" -and –not –name " ". Find -name "FILE SEARCH PATTERN"-exec rm -i {} ;. Search and remove files.

5

Everyday Developer: February 2012

http://everydaydeveloper.blogspot.com/2012_02_01_archive.html

Thursday, February 16, 2012. SOLR: Improve relevancy by boosting exact and phrase match. Once we have the index ready for searching, the next implicit step is to improve the relevancy of the search index. SOLR of course provides ways to tune the search relevancy but one very obvious way to improve your relevancy almost always gets ignored. By boosting exact and phrase matching over the query matching we can achieve relevancy improvement by significant factor. Here I have used WhiteSpaceTokenizer without ...

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Wednesday, March 13, 2013. Minimum Match per index field: SOLR Ranking and Relevance improvement. With SOLR minimum match parameter (mm), the constraint is applied on all the fields used in the matching (qf) collectively. So, if the query is of two keywords, and each keyword was found in different matching fields, the document is deemed matched and relevant. Qf = title, description, keyword. Q= adopt a pet dog, where the matching keywords are “adopt”, “pet” and “dog”. Since the minimum match (mm) field i...

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