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• SOLR high CPU usage in amazon EC2

  - by user644745

  I installed solr-3.6 in my local windows box and it worked fine. I installed solr-4.0 in amazon ec2 linux large instance and the cpu usage shot upto 100%. It maintained at 80-90% average cpu power. I thought it could be because of 4.0, So I installed 3.6 in EC2 again. But again the CPU usage was 80-90% average. With both the versions, solr works in EC2. dont know why CPU usage is so high. i started the solr server using "sudo nohup java -jar start.jar &" In my local box java 1.7 is installed and in EC2 it is 1.6.0_24. I have mapped solr dir to an EBS volume. /dev/mapper/vg1-solr 8361916 1935928 6342128 24% /home/ec2-user/SOLR/solr/example/solr Is there any known issue ?

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• posting nutch data into a BASIC auth secured Solr instance

  - by mlathe

  Hi. I've secured a solr instance using BASIC auth, kind of how it is shown here: http://blog.comtaste.com/2009/02/securing_your_solr_server_on_t.html Now i'm trying to update my batch processes to push data into the authenticated instance. The ones using "curl" are easy, but i also have a Nutch crawl that uses the "solrindex" command to push data into Solr. When i do that i get this error: 2010-02-22 12:09:28,226 INFO auth.AuthChallengeProcessor - basic authentication scheme selected 2010-02-22 12:09:28,229 INFO httpclient.HttpMethodDirector - No credentials available for BASIC 'Tomcat Manager Application'@ninja:5500 2010-02-22 12:09:28,236 WARN mapred.LocalJobRunner - job_local_0001 org.apache.solr.common.SolrException: Unauthorized Unauthorized request: http://ninja:5500/solr/foo/update?wt=javabin&version=2.2 at org.apache.solr.client.solrj.impl.CommonsHttpSolrServer.request(CommonsHttpSolrServer.java:343) at org.apache.solr.client.solrj.impl.CommonsHttpSolrServer.request(CommonsHttpSolrServer.java:183) at org.apache.solr.client.solrj.request.UpdateRequest.process(UpdateRequest.java:217) at org.apache.solr.client.solrj.SolrServer.add(SolrServer.java:48) at org.apache.nutch.indexer.solr.SolrWriter.close(SolrWriter.java:69) at org.apache.nutch.indexer.IndexerOutputFormat$1.close(IndexerOutputFormat.java:48) at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:447) at org.apache.hadoop.mapred.LocalJobRunner$Job.run(LocalJobRunner.java:170) 2010-02-22 12:09:29,134 FATAL solr.SolrIndexer - SolrIndexer: java.io.IOException: Job failed! at org.apache.hadoop.mapred.JobClient.runJob(JobClient.java:1232) at org.apache.nutch.indexer.solr.SolrIndexer.indexSolr(SolrIndexer.java:73) at org.apache.nutch.indexer.solr.SolrIndexer.run(SolrIndexer.java:95) at org.apache.hadoop.util.ToolRunner.run(ToolRunner.java:65) at org.apache.nutch.indexer.solr.SolrIndexer.main(SolrIndexer.java:104) Apparently nutch uses SolrJ to push the content, and after going through the solrj code, it's clear that it uses commons-httpclient without providing a way to set the credentials. Here are my question(s) Is this possible to do? ie push from nutch into a BASIC auth secured Solr instance? Is it possible to tell commons-httpclient about a credential without explicitly doing an _httpclient.getState().setCredentials(...)? Anyother ideas? One idea i had was to use an IPfiltering Valve for just the "update" Solr webservices. That would mean you could only make an update call from certain nodes. Thanks

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• spring faces without spring flow

  - by AgostinoX

  I'm starting a new JSF (2) project. I realize that pure JSF has some limitation and I'm planning to drop in spring. JSF is a relatively new approach in spring (there is not even a tag spring-faces in stackoverflow :-) ), jsp being the classic way. I need the best available adjustment of the technology stack. 1) do i need to use spring web flow too? 2) is it viable to use just spring faces (that seems to come as a part of web flow) + spring mvc+ JPA? 3) is there any good example of such a configuration?

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• Need help troubleshooting why Solr wont start (or why solr admin page wont show)

  - by Camran

  I can't get Solr working. I have Jetty, and my server OS is Ubuntu 9.10. It is a VPS server. So, when I execute the java -jar start.jar everything seems fine. I even do a netstat to check if there are any listeners on the port before the start and after the start, and it seems solr is starting. However, I cant access the admin page. I have even turned off the firewall. Here is some info about my server: I have changed DocumentRoot to var/www/SV/ I have Apache2, PHP5, MySql installed I have "disabled" iptables firewall I have removed the htaccess files (I used them to passw protect my site under develop) I have installed JRE (NOT JDK) on my server. I use the "example" which comes with Solr, so I use Jetty as container on my Server. My Server has 768MB RAM Doing a java -version command shows this: java version "1.6.0_15" Java(TM) SE Runtime Environment (build 1.6.0_15-b03) Java HotSpot(TM) Client VM (build 14.1-b02, mixed mode) And in the terminal the last lines when executing start.jar is: May 29, 2010 1:30:03 PM org.apache.solr.core.SolrCore registerSearcher INFO: [] Registered new searcher Searcher@1dc64a5 main NOTE: Also before this last line, there is a line which makes me suspicious: Started SocketConnector @ 0.0.0.0:8983 // Should this be with leading zeros? Is there any ways you know to troubleshoot this? Memory issue maybe? Thanks

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• Error running Solr

  - by Jon H

  I'm trying to install Apache Solr for Plone, via collective.solr. I've followed the instructions above, and extended my buildout with: [buildout] extends = buildout.cfg https://github.com/Jarn/collective.solr/raw/master/buildout/solr.cfg [instance] eggs += collective.solr bin/buildout runs fine, however, when I try bin/solr-instance fg I get the following error: Traceback (most recent call last): File "bin/solr-instance", line 114, in <module> start(False) File "bin/solr-instance", line 43, in start stdout=logfp, stderr=logfp).pid File "/usr/lib/python2.6/subprocess.py", line 633, in __init__ errread, errwrite) File "/usr/lib/python2.6/subprocess.py", line 1139, in _execute_child raise child_exception OSError: [Errno 2] No such file or directory Graceful stop What am I missing / doing wrong?

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• Data Quality Through Data Governance

  Data Quality Governance Data quality is very important to every organization, bad data cost an organization time, money, and resources that could be prevented if the proper governance was put in to place.  Data Governance Program Criteria: Support from Executive Management and all Business Units Data Stewardship Program  Cross Functional Team of Data Stewards Data Governance Committee Quality Structured Data It should go without saying but any successful project in today’s business world must get buy in from executive management and all stakeholders involved with the project. If management does not fully support a project because they see it is in there and the company’s best interest then they will remove/eliminate funding, resources and allocated time to work on the project. In essence they can render a project dead until it is official killed by the business. In addition, buy in from stake holders is also very important because they can cause delays increased spending in time, money and resources because they do not support a project. Data Stewardship programs are administered by a data steward manager who primary focus is to support, train and manage a cross functional data stewards team. A cross functional team of data stewards are pulled from various departments act to ensure that all systems work to ensure that an organization’s goals are achieved. Typically, data stewards are subject matter experts that act as mediators between their respective departments and IT. Data Quality Procedures Data Governance Committees are composed of data stewards, Upper management, IT Leadership and various subject matter experts depending on a company. The primary goal of this committee is to define strategic goals, coordinate activities, set data standards and offer data guidelines for the business. Data Quality Policies In 1997, Claudia Imhoff defined a Data Stewardship’s responsibility as to approve business naming standards, develop consistent data definitions, determine data aliases, develop standard calculations and derivations, document the business rules of the corporation, monitor the quality of the data in the data warehouse, define security requirements, and so forth. She further explains data stewards responsible for creating and enforcing polices on the following but not limited to issues. Resolving Data Integration Issues Determining Data Security Documenting Data Definitions, Calculations, Summarizations, etc. Maintaining/Updating Business Rules Analyzing and Improving Data Quality

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• SQLAuthority News – Links to Book On Line – Data Mining Algorithms (Analysis Services – Data Mining)

  - by pinaldave

  I have quite often received request for the Data Mining Algorithms details. Book Online has wonderful resources for the same. I suggest to read them here. Data Mining Algorithms (Analysis Services – Data Mining) The data mining algorithm is the mechanism that creates a data mining model. To create a model, an algorithm first analyzes a set [...]

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• Making Spring Data JPA work with DataNucleus (GAE) (Spring Boot)

  - by xybrek

  There are several hints that Spring Data works with Google App Engine like: http://tommysiu.blogspot.com/2014/01/spring-data-on-gae-part-1.html http://blog.eisele.net/2009/07/spring-300m3-on-google-appengine-with.html Much of the examples are not "Spring Boot" so I've been trying to retrofit things with it. However, I've been stuck with this error for days and days: [INFO] Caused by: java.lang.NullPointerException [INFO] at org.datanucleus.api.jpa.metamodel.SingularAttributeImpl.isVersion(SingularAttributeImpl.java:79) [INFO] at org.springframework.data.jpa.repository.support.JpaMetamodelEntityInformation.findVersionAttribute(JpaMetamodelEntityInformation.java:102) [INFO] at org.springframework.data.jpa.repository.support.JpaMetamodelEntityInformation.<init>(JpaMetamodelEntityInformation.java:79) [INFO] at org.springframework.data.jpa.repository.support.JpaEntityInformationSupport.getMetadata(JpaEntityInformationSupport.java:65) [INFO] at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getEntityInformation(JpaRepositoryFactory.java:149) [INFO] at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getTargetRepository(JpaRepositoryFactory.java:88) [INFO] at org.springframework.data.jpa.repository.support.JpaRepositoryFactory.getTargetRepository(JpaRepositoryFactory.java:68) [INFO] at org.springframework.data.repository.core.support.RepositoryFactorySupport.getRepository(RepositoryFactorySupport.java:158) [INFO] at org.springframework.data.repository.core.support.RepositoryFactoryBeanSupport.initAndReturn(RepositoryFactoryBeanSupport.java:224) [INFO] at org.springframework.data.repository.core.support.RepositoryFactoryBeanSupport.afterPropertiesSet(RepositoryFactoryBeanSupport.java:210) [INFO] at org.springframework.data.jpa.repository.support.JpaRepositoryFactoryBean.afterPropertiesSet(JpaRepositoryFactoryBean.java:92) [INFO] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory$6.run(AbstractAutowireCapableBeanFactory.java:1602) [INFO] at java.security.AccessController.doPrivileged(Native Method) [INFO] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.invokeInitMethods(AbstractAutowireCapableBeanFactory.java:1599) [INFO] at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.initializeBean(AbstractAutowireCapableBeanFactory.java:1549) [INFO] ... 40 more Where, I'm trying to use Spring Data JPA with DataNucleus/AppEngine: @Configuration @ComponentScan @EnableJpaRepositories @EnableTransactionManagement class JpaApplicationConfig { private static final Logger logger = Logger .getLogger(JpaApplicationConfig.class.getName()); @Bean public EntityManagerFactory entityManagerFactory() { logger.info("Loading Entity Manager..."); return Persistence .createEntityManagerFactory("transactions-optional"); } @Bean public PlatformTransactionManager transactionManager() { logger.info("Loading Transaction Manager..."); final JpaTransactionManager txManager = new JpaTransactionManager(); txManager.setEntityManagerFactory(entityManagerFactory()); return txManager; } } I've tested Persistence.createEntityManagerFactory("transactions-optional"); to see if the app can persist using this EMF, well, it does, so I am sure that this EMF works fine. The problem is the "wiring" up with the Spring Data JPA, can anybody help?

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• SQL SERVER – Advanced Data Quality Services with Melissa Data – Azure Data Market

  - by pinaldave

  There has been much fanfare over the new SQL Server 2012, and especially around its new companion product Data Quality Services (DQS). Among the many new features is the addition of this integrated knowledge-driven product that enables data stewards everywhere to profile, match, and cleanse data. In addition to the homegrown rules that data stewards can design and implement, there are also connectors to third party providers that are hosted in the Azure Datamarket marketplace.  In this review, I leverage SQL Server 2012 Data Quality Services, and proceed to subscribe to a third party data cleansing product through the Datamarket to showcase this unique capability. Crucial Questions For the purposes of the review, I used a database I had in an Excel spreadsheet with name and address information. Upon a cursory inspection, there are miscellaneous problems with these records; some addresses are missing ZIP codes, others missing a city, and some records are slightly misspelled or have unparsed suites. With DQS, I can easily add a knowledge base to help standardize my values, such as for state abbreviations. But how do I know that my address is correct? And if my address is not correct, what should it be corrected to? The answer lies in a third party knowledge base by the acknowledged USPS certified address accuracy experts at Melissa Data. Reference Data Services Within DQS there is a handy feature to actually add reference data from many different third-party Reference Data Services (RDS) vendors. DQS simplifies the processes of cleansing, standardizing, and enriching data through custom rules and through service providers from the Azure Datamarket. A quick jump over to the Datamarket site shows me that there are a handful of providers that offer data directly through Data Quality Services. Upon subscribing to these services, one can attach a DQS domain or composite domain (fields in a record) to a reference data service provider, and begin using it to cleanse, standardize, and enrich that data. Besides what I am looking for (address correction and enrichment), it is possible to subscribe to a host of other services including geocoding, IP address reference, phone checking and enrichment, as well as name parsing, standardization, and genderization.  These capabilities extend the data quality that DQS has natively by quite a bit. For my current address correction review, I needed to first sign up to a reference data provider on the Azure Data Market site. For this example, I used Melissa Data’s Address Check Service. They offer free one-month trials, so if you wish to follow along, or need to add address quality to your own data, I encourage you to sign up with them. Once I subscribed to the desired Reference Data Provider, I navigated my browser to the Account Keys within My Account to view the generated account key, which I then inserted into the DQS Client – Configuration under the Administration area. Step by Step to Guide That was all it took to hook in the subscribed provider -Melissa Data- directly to my DQS Client. The next step was for me to attach and map in my Reference Data from the newly acquired reference data provider, to a domain in my knowledge base. On the DQS Client home screen, I selected “New Knowledge Base” under Knowledge Base Management on the left-hand side of the home screen. Under New Knowledge Base, I typed a Name and description of my new knowledge base, then proceeded to the Domain Management screen. Here I established a series of domains (fields) and then linked them all together as a composite domain (record set). Using the Create Domain button, I created the following domains according to the fields in my incoming data: Name Address Suite City State Zip I added a Suite column in my domain because Melissa Data has the ability to return missing Suites based on last name or company. And that’s a great benefit of using these third party providers, as they have data that the data steward would not normally have access to. The bottom line is, with these third party data providers, I can actually improve my data. Next, I created a composite domain (fulladdress) and added the (field) domains into the composite domain. This essentially groups our address fields together in a record to facilitate the full address cleansing they perform. I then selected my newly created composite domain and under the Reference Data tab, added my third party reference data provider –Melissa Data’s Address Check- and mapped in each domain that I had to the provider’s Schema. Now that my composite domain has been married to the Reference Data service, I can take the newly published knowledge base and create a project to cleanse and enrich my data. My next task was to create a new Data Quality project, mapping in my data source and matching it to the appropriate domain column, and then kick off the verification process. It took just a few minutes with some progress indicators indicating that it was working. When the process concluded, there was a helpful set of tabs that place the response records into categories: suggested; new; invalid; corrected (automatically); and correct. Accepting the suggestions provided by  Melissa Data allowed me to clean up all the records and flag the invalid ones. It is very apparent that DQS makes address data quality simplistic for any IT professional. Final Note As I have shown, DQS makes data quality very easy. Within minutes I was able to set up a data cleansing and enrichment routine within my data quality project, and ensure that my address data was clean, verified, and standardized against real reference data. As reviewed here, it’s easy to see how both SQL Server 2012 and DQS work to take what used to require a highly skilled developer, and empower an average business or database person to consume external services and clean data. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, SQL Utility, T SQL, Technology Tagged: DQS

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• Wildcard searching and highlighting with Solr 1.4

  - by andy

  Hey guys, I've got a pretty much vanilla install of SOLR 1.4 apart from a few small config and schema changes. <requestHandler name="standard" class="solr.SearchHandler" default="true"> <!-- default values for query parameters --> <lst name="defaults"> <str name="defType">dismax</str> <str name="echoParams">explicit</str> <str name="qf"> text </str> <str name="spellcheck.dictionary">default</str> <str name="spellcheck.onlyMorePopular">false</str> <str name="spellcheck.extendedResults">false</str> <str name="spellcheck.count">1</str> </lst> </requestHandler> The main field type I'm using for Indexing is this: <fieldType name="textNoHTML" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <charFilter class="solr.HTMLStripCharFilterFactory" /> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt" enablePositionIncrements="true" /> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="1"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.SnowballPorterFilterFactory" language="English" protected="protwords.txt"/> </analyzer> </fieldType> now, when I perform a search using "q=search+term&hl=on" I get highlighting, and nice accurate scores. BUT, for wildcard, I'm assuming you need to use "q.alt"? Is that true? If so my query looks like this: "q.alt=search*&hl=on" When I use the above query, highlighting doesn't work, and all the scores are "1.0". What am I doing wrong? is what I want possible without bypassing some of the really cool SOLR optimizations. cheers!

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• solr php extension fails to run on newest Debian Wheezy

  - by hijarian

  I'm trying to use the Solr PHP extension on the recently-upgraded Debian Wheezy. It installs both from PECL and from sources flawlessly but instead of giving me expected functionality it gives me this on every PHP run: PHP Warning: PHP Startup: Unable to load dynamic library '/usr/lib/php5/20100525/solr.so' - /usr/lib/php5/20100525/solr.so: undefined symbol: curl_easy_getinfo in Unknown on line 0 Also scripts which use the extension throws an error PHP Error[2]: include(SolrClient.php): failed to open stream: No such file or directory in file <...path to my autoloader...> My main point is that it was set up before and worked like a charm. In the upgrade among the relevant packages only the versions of PHP and libcurl was changed. Instance of Solr itself was left as is. I have all possible libcurl libraries: $ locate libcurl ... /usr/lib/x86_64-linux-gnu/libcurl-gnutls.so.3 /usr/lib/x86_64-linux-gnu/libcurl-gnutls.so.4 /usr/lib/x86_64-linux-gnu/libcurl-gnutls.so.4.2.0 /usr/lib/x86_64-linux-gnu/libcurl.a /usr/lib/x86_64-linux-gnu/libcurl.la /usr/lib/x86_64-linux-gnu/libcurl.so /usr/lib/x86_64-linux-gnu/libcurl.so.3 /usr/lib/x86_64-linux-gnu/libcurl.so.4 /usr/lib/x86_64-linux-gnu/libcurl.so.4.2.0 ... /usr/lib32/libcurl.so.3 /usr/lib32/libcurl.so.4 /usr/lib32/libcurl.so.4.2.0 ... I have instaled the php5-curl package version 5.4.4-2 with aptitude. I installed the Sorl extensions both with sudo pecl install solr (with various combinations of -f and -n flags and tried solr-beta too) and with wget ... cd ... phpize ./configure make make install I'm installing the 1.0.2 version of extension because it worked before the upgrade from Squeeze to Wheezy. As I said earlier, extension installs without any errors. I have already added the extension=solr.so incantation to the /etc/php5/mods-available/solr.ini What magic should I do to make solr extension work? Is this true that the only solution that I have is to downgrade the libcurl version as it was before the upgrade?

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• Multiple config files for spring security

  - by Xabier

  Hello all, I'm quite new to all things spring, and right now I'm developing an application that uses Spring, Spring MVC and Srping Security. My problem is that I'm using two dispatcher servlets, one for /csm/*.html and another one for *.html and I'd like to have one spring security configuration file per servlet. Is this possible at all?, if so, could you point me to an example?. Thanks in advance, Xabier.

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• BeanDefinition class removed in Spring 4?

  - by mushtaq

  I am trying out the new Spring 4 release, and I found out that the BeanDefinition interface has been removed, if so what is the replacement class we should use in a scenario where we define a scope for a bean ? Prior to Spring release of 4 you could do this. @Bean @Scope(BeanDefinition.SCOPE_PROTOTYPE) class MyBean{ ... } EDIT As of Spring 4, can't you specify the spring bean scope in the @Scope Annotation, the only option given is to add a string and then the ProxyMode ?

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• Multicore solr on Ubuntu 10.04 working for anyone?

  - by coleifer

  Following instructions from the two sites below, I've installed tomcat6 and solr 1.4 http://gist.github.com/204638 https://wiki.fourkitchens.com/display/TECH/Solr+1.4+on+Ubuntu+9.10+and+CentOS+5 I have successfully got it up and running on a server running 9.04 with multicore support, but on the 10.04 I can't seem to get it to work. I am able to reach localhost:xxxx/solr/ on the 10.04 box and see a single link to the Solr Admin, but following the link takes me to a 404 page with the following output: /solr/admin/ HTTP Status 404 - missing core name in path The requested resource (missing core name in path) is not available I am also unable to access /solr/site1/ as I would except - it similarly returns a 404 <!-- from /var/solr/solr.xml, site dirs exist --> <cores adminPath="/admin/cores"> <core name="site1" instanceDir="site1" /> <core name="site2" instanceDir="site2" /> </cores> <!-- from /etc/tomcat6/Catalina/localhost/solr.xml --> <Context docBase="/var/solr/solr.war" debug="0" privileged="true" allowLinking="true" crossContext="true"> <Environment name="solr/home" type="java.lang.String" value="/var/solr" override="true" /> </Context>

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• SOLR - wildcard search with capital letter

  - by Yurish

  I have a problem with SOLR searching. When i`am searching query: dog* everything is ok, but when query is Dog*(with first capital letter), i get no results. Any advice? My config: <fieldType name="text" class="solr.TextField" positionIncrementGap="100"> <analyzer type="index"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="1" catenateNumbers="1" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> <analyzer type="query"> <tokenizer class="solr.WhitespaceTokenizerFactory"/> <filter class="solr.SynonymFilterFactory" synonyms="synonyms.txt" ignoreCase="true" expand="true"/> <filter class="solr.StopFilterFactory" ignoreCase="true" words="stopwords.txt"/> <filter class="solr.WordDelimiterFilterFactory" generateWordParts="1" generateNumberParts="1" catenateWords="0" catenateNumbers="0" catenateAll="0" splitOnCaseChange="0"/> <filter class="solr.LowerCaseFilterFactory"/> <filter class="solr.RemoveDuplicatesTokenFilterFactory"/> </analyzer> </fieldType>

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• Backup Solr home

  - by user226188

  I'm new to Solr: I've successfully installed Tomcat and Solr 4.3.1 webapp, and two collections on a CentOS 6.4 machine. Now, my server is in production and I need to make backups of solr. So, I would like to know what is the best way to backup solr... For the moment I'm dooing: stop tomcat = tar of my solr home = start tomcat, but I've read that is not a good solution? Moreover, this implie to stop all the tomcat which have other webapps than solr. I've also heard that there is a script named "backup" in solr home bin's folder ? but my bin folder is empty :( I don't want to make an another slave server with replication, for me it's not a backup solution because my backup are supposed to be send to a bacula backup server all nights. There is no builtin solution that I can work around to make a script ? like a mysqldump for Mysql servers. Thanks for help !

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• Big Data – Is Big Data Relevant to me? – Big Data Questionnaires – Guest Post by Vinod Kumar

  - by Pinal Dave

  This guest post is by Vinod Kumar. Vinod Kumar has worked with SQL Server extensively since joining the industry over a decade ago. Working on various versions of SQL Server 7.0, Oracle 7.3 and other database technologies – he now works with the Microsoft Technology Center (MTC) as a Technology Architect. Let us read the blog post in Vinod’s own voice. I think the series from Pinal is a good one for anyone planning to start on Big Data journey from the basics. In my daily customer interactions this buzz of “Big Data” always comes up, I react generally saying – “Sir, do you really have a ‘Big Data’ problem or do you have a big Data problem?” Generally, there is a silence in the air when I ask this question. Data is everywhere in organizations – be it big data, small data, all data and for few it is bad data which is same as no data :). Wow, don’t discount me as someone who opposes “Big Data”, I am a big supporter as much as I am a critic of the abuse of this term by the people. In this post, I wanted to let my mind flow so that you can also think in the direction I want you to see these concepts. In any case, this is not an exhaustive dump of what is in my mind – but you will surely get the drift how I am going to question Big Data terms from customers!!! Is Big Data Relevant to me? Many of my customers talk to me like blank whiteboard with no idea – “why Big Data”. They want to jump into the bandwagon of technology and they want to decipher insights from their unexplored data a.k.a. unstructured data with structured data. So what are these industry scenario’s that come to mind? Here are some of them: Financials Fraud detection: Banks and Credit cards are monitoring your spending habits on real-time basis. Customer Segmentation: applies in every industry from Banking to Retail to Aviation to Utility and others where they deal with end customer who consume their products and services. Customer Sentiment Analysis: Responding to negative brand perception on social or amplify the positive perception. Sales and Marketing Campaign: Understand the impact and get closer to customer delight. Call Center Analysis: attempt to take unstructured voice recordings and analyze them for content and sentiment. Medical Reduce Re-admissions: How to build a proactive follow-up engagements with patients. Patient Monitoring: How to track Inpatient, Out-Patient, Emergency Visits, Intensive Care Units etc. Preventive Care: Disease identification and Risk stratification is a very crucial business function for medical. Claims fraud detection: There is no precise dollars that one can put here, but this is a big thing for the medical field. Retail Customer Sentiment Analysis, Customer Care Centers, Campaign Management. Supply Chain Analysis: Every sensors and RFID data can be tracked for warehouse space optimization. Location based marketing: Based on where a check-in happens retail stores can be optimize their marketing. Telecom Price optimization and Plans, Finding Customer churn, Customer loyalty programs Call Detail Record (CDR) Analysis, Network optimizations, User Location analysis Customer Behavior Analysis Insurance Fraud Detection & Analysis, Pricing based on customer Sentiment Analysis, Loyalty Management Agents Analysis, Customer Value Management This list can go on to other areas like Utility, Manufacturing, Travel, ITES etc. So as you can see, there are obviously interesting use cases for each of these industry verticals. These are just representative list. Where to start? A lot of times I try to quiz customers on a number of dimensions before starting a Big Data conversation. Are you getting the data you need the way you want it and in a timely manner? Can you get in and analyze the data you need? How quickly is IT to respond to your BI Requests? How easily can you get at the data that you need to run your business/department/project? How are you currently measuring your business? Can you get the data you need to react WITHIN THE QUARTER to impact behaviors to meet your numbers or is it always “rear-view mirror?” How are you measuring: The Brand Customer Sentiment Your Competition Your Pricing Your performance Supply Chain Efficiencies Predictive product / service positioning What are your key challenges of driving collaboration across your global business?  What the challenges in innovation? What challenges are you facing in getting more information out of your data? Note: Garbage-in is Garbage-out. Hold good for all reporting / analytics requirements Big Data POCs? A number of customers get into the realm of setting a small team to work on Big Data – well it is a great start from an understanding point of view, but I tend to ask a number of other questions to such customers. Some of these common questions are: To what degree is your advanced analytics (natural language processing, sentiment analysis, predictive analytics and classification) paired with your Big Data’s efforts? Do you have dedicated resources exploring the possibilities of advanced analytics in Big Data for your business line? Do you plan to employ machine learning technology while doing Advanced Analytics? How is Social Media being monitored in your organization? What is your ability to scale in terms of storage and processing power? Do you have a system in place to sort incoming data in near real time by potential value, data quality, and use frequency? Do you use event-driven architecture to manage incoming data? Do you have specialized data services that can accommodate different formats, security, and the management requirements of multiple data sources? Is your organization currently using or considering in-memory analytics? To what degree are you able to correlate data from your Big Data infrastructure with that from your enterprise data warehouse? Have you extended the role of Data Stewards to include ownership of big data components? Do you prioritize data quality based on the source system (that is Facebook/Twitter data has lower quality thresholds than radio frequency identification (RFID) for a tracking system)? Do your retention policies consider the different legal responsibilities for storing Big Data for a specific amount of time? Do Data Scientists work in close collaboration with Data Stewards to ensure data quality? How is access to attributes of Big Data being given out in the organization? Are roles related to Big Data (Advanced Analyst, Data Scientist) clearly defined? How involved is risk management in the Big Data governance process? Is there a set of documented policies regarding Big Data governance? Is there an enforcement mechanism or approach to ensure that policies are followed? Who is the key sponsor for your Big Data governance program? (The CIO is best) Do you have defined policies surrounding the use of social media data for potential employees and customers, as well as the use of customer Geo-location data? How accessible are complex analytic routines to your user base? What is the level of involvement with outside vendors and third parties in regard to the planning and execution of Big Data projects? What programming technologies are utilized by your data warehouse/BI staff when working with Big Data? These are some of the important questions I ask each customer who is actively evaluating Big Data trends for their organizations. These questions give you a sense of direction where to start, what to use, how to secure, how to analyze and more. Sign off Any Big data is analysis is incomplete without a compelling story. The best way to understand this is to watch Hans Rosling – Gapminder (2:17 to 6:06) videos about the third world myths. Don’t get overwhelmed with the Big Data buzz word, the destination to what your data speaks is important. In this blog post, we did not particularly look at any Big Data technologies. This is a set of questionnaire one needs to keep in mind as they embark their journey of Big Data. I did write some of the basics in my blog: Big Data – Big Hype yet Big Opportunity. Do let me know if these questions make sense?  Reference: Pinal Dave (http://blog.sqlauthority.com)Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Big Data – Basics of Big Data Architecture – Day 4 of 21

  - by Pinal Dave

  In yesterday’s blog post we understood how Big Data evolution happened. Today we will understand basics of the Big Data Architecture. Big Data Cycle Just like every other database related applications, bit data project have its development cycle. Though three Vs (link) for sure plays an important role in deciding the architecture of the Big Data projects. Just like every other project Big Data project also goes to similar phases of the data capturing, transforming, integrating, analyzing and building actionable reporting on the top of  the data. While the process looks almost same but due to the nature of the data the architecture is often totally different. Here are few of the question which everyone should ask before going ahead with Big Data architecture. Questions to Ask How big is your total database? What is your requirement of the reporting in terms of time – real time, semi real time or at frequent interval? How important is the data availability and what is the plan for disaster recovery? What are the plans for network and physical security of the data? What platform will be the driving force behind data and what are different service level agreements for the infrastructure? This are just basic questions but based on your application and business need you should come up with the custom list of the question to ask. As I mentioned earlier this question may look quite simple but the answer will not be simple. When we are talking about Big Data implementation there are many other important aspects which we have to consider when we decide to go for the architecture. Building Blocks of Big Data Architecture It is absolutely impossible to discuss and nail down the most optimal architecture for any Big Data Solution in a single blog post, however, we can discuss the basic building blocks of big data architecture. Here is the image which I have built to explain how the building blocks of the Big Data architecture works. Above image gives good overview of how in Big Data Architecture various components are associated with each other. In Big Data various different data sources are part of the architecture hence extract, transform and integration are one of the most essential layers of the architecture. Most of the data is stored in relational as well as non relational data marts and data warehousing solutions. As per the business need various data are processed as well converted to proper reports and visualizations for end users. Just like software the hardware is almost the most important part of the Big Data Architecture. In the big data architecture hardware infrastructure is extremely important and failure over instances as well as redundant physical infrastructure is usually implemented. NoSQL in Data Management NoSQL is a very famous buzz word and it really means Not Relational SQL or Not Only SQL. This is because in Big Data Architecture the data is in any format. It can be unstructured, relational or in any other format or from any other data source. To bring all the data together relational technology is not enough, hence new tools, architecture and other algorithms are invented which takes care of all the kind of data. This is collectively called NoSQL. Tomorrow Next four days we will answer the Buzz Words – Hadoop. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• How-to configure Spring Social via XML

  - by Matthias Steiner

  I spend a few hours trying to get Twitter integration to work with Spring Social using the XML configuration approach. All the examples I could find on the web (and on stackoverflow) always use the @Config approach as shown in the samples For whatever reason the bean definition to get an instance to the twitter API throws an AOP exception: Caused by: java.lang.IllegalStateException: Cannot create scoped proxy for bean 'scopedTarget.twitter': Target type could not be determined at the time of proxy creation. Here's the complete config file I have: <?xml version="1.0" encoding="UTF-8"?> <beans xmlns="http://www.springframework.org/schema/beans" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:jaxrs="http://cxf.apache.org/jaxrs" xmlns:context="http://www.springframework.org/schema/context" xmlns:util="http://www.springframework.org/schema/util" xmlns:cxf="http://cxf.apache.org/core" xmlns:aop="http://www.springframework.org/schema/aop" xmlns:jee="http://www.springframework.org/schema/jee" xmlns:mvc="http://www.springframework.org/schema/mvc" xmlns:jdbc="http://www.springframework.org/schema/jdbc" xsi:schemaLocation=" http://www.springframework.org/schema/beans http://www.springframework.org/schema/beans/spring-beans-3.1.xsd http://cxf.apache.org/jaxrs http://cxf.apache.org/schemas/jaxrs.xsd http://www.springframework.org/schema/context http://www.springframework.org/schema/context/spring-context.xsd http://www.springframework.org/schema/util http://www.springframework.org/schema/util/spring-util-3.1.xsd http://cxf.apache.org/core http://cxf.apache.org/schemas/core.xsd http://www.springframework.org/schema/aop http://www.springframework.org/schema/aop/spring-aop-3.1.xsd http://www.springframework.org/schema/jee http://www.springframework.org/schema/jee/spring-jee-3.1.xsd http://www.springframework.org/schema/mvc http://www.springframework.org/schema/mvc/spring-mvc-3.1.xsd http://www.springframework.org/schema/jdbc http://www.springframework.org/schema/jdbc/spring-jdbc-3.1.xsd"> <import resource="classpath:META-INF/cxf/cxf.xml" /> <import resource="classpath:META-INF/cxf/cxf-servlet.xml" /> <jee:jndi-lookup id="dataSource" jndi-name="java:comp/env/jdbc/DefaultDB" /> <!-- initialize DB required to store user auth tokens --> <jdbc:initialize-database data-source="dataSource" ignore-failures="ALL"> <jdbc:script location="classpath:/org/springframework/social/connect/jdbc/JdbcUsersConnectionRepository.sql"/> </jdbc:initialize-database> <bean id="connectionFactoryLocator" class="org.springframework.social.connect.support.ConnectionFactoryRegistry"> <property name="connectionFactories"> <list> <ref bean="twitterConnectFactory" /> </list> </property> </bean> <bean id="twitterConnectFactory" class="org.springframework.social.twitter.connect.TwitterConnectionFactory"> <constructor-arg value="xyz" /> <constructor-arg value="xzy" /> </bean> <bean id="usersConnectionRepository" class="org.springframework.social.connect.jdbc.JdbcUsersConnectionRepository"> <constructor-arg ref="dataSource" /> <constructor-arg ref="connectionFactoryLocator" /> <constructor-arg ref="textEncryptor" /> </bean> <bean id="connectionRepository" factory-method="createConnectionRepository" factory-bean="usersConnectionRepository" scope="request"> <constructor-arg value="#{request.userPrincipal.name}" /> <aop:scoped-proxy proxy-target-class="false" /> </bean> <bean id="twitter" factory-method="?ndPrimaryConnection" factory-bean="connectionRepository" scope="request" depends-on="connectionRepository"> <constructor-arg value="org.springframework.social.twitter.api.Twitter" /> <aop:scoped-proxy proxy-target-class="false" /> </bean> <bean id="textEncryptor" class="org.springframework.security.crypto.encrypt.Encryptors" factory-method="noOpText" /> <bean id="connectController" class="org.springframework.social.connect.web.ConnectController"> <constructor-arg ref="connectionFactoryLocator"/> <constructor-arg ref="connectionRepository"/> <property name="applicationUrl" value="https://socialscn.int.netweaver.ondemand.com/socialspringdemo" /> </bean> <bean id="signInAdapter" class="com.sap.netweaver.cloud.demo.social.SimpleSignInAdapter" /> </beans> What puzzles me is that the connectionRepositoryinstantiation works perfectly fine (I commented-out the twitter bean and tested the code!) ?!? It uses the same features: request scope and interface AOP proxy and works, but the twitter bean instantiation fails ?!? The spring social config code looks as follows (I can not see any differences, can you?): @Configuration public class SocialConfig { @Inject private Environment environment; @Inject private DataSource dataSource; @Bean @Scope(value="singleton", proxyMode=ScopedProxyMode.INTERFACES) public ConnectionFactoryLocator connectionFactoryLocator() { ConnectionFactoryRegistry registry = new ConnectionFactoryRegistry(); registry.addConnectionFactory(new TwitterConnectionFactory(environment.getProperty("twitter.consumerKey"), environment.getProperty("twitter.consumerSecret"))); return registry; } @Bean @Scope(value="singleton", proxyMode=ScopedProxyMode.INTERFACES) public UsersConnectionRepository usersConnectionRepository() { return new JdbcUsersConnectionRepository(dataSource, connectionFactoryLocator(), Encryptors.noOpText()); } @Bean @Scope(value="request", proxyMode=ScopedProxyMode.INTERFACES) public ConnectionRepository connectionRepository() { Authentication authentication = SecurityContextHolder.getContext().getAuthentication(); if (authentication == null) { throw new IllegalStateException("Unable to get a ConnectionRepository: no user signed in"); } return usersConnectionRepository().createConnectionRepository(authentication.getName()); } @Bean @Scope(value="request", proxyMode=ScopedProxyMode.INTERFACES) public Twitter twitter() { Connection<Twitter> twitter = connectionRepository().findPrimaryConnection(Twitter.class); return twitter != null ? twitter.getApi() : new TwitterTemplate(); } @Bean public ConnectController connectController() { ConnectController connectController = new ConnectController(connectionFactoryLocator(), connectionRepository()); connectController.addInterceptor(new PostToWallAfterConnectInterceptor()); connectController.addInterceptor(new TweetAfterConnectInterceptor()); return connectController; } @Bean public ProviderSignInController providerSignInController(RequestCache requestCache) { return new ProviderSignInController(connectionFactoryLocator(), usersConnectionRepository(), new SimpleSignInAdapter(requestCache)); } } Any help/pointers would be appreciated!!! Cheers, Matthias

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• Big Data – Evolution of Big Data – Day 3 of 21

  - by Pinal Dave

  In yesterday’s blog post we answered what is the Big Data. Today we will understand why and how the evolution of Big Data has happened. Though the answer is very simple, I would like to tell it in the form of a history lesson. Data in Flat File In earlier days data was stored in the flat file and there was no structure in the flat file.  If any data has to be retrieved from the flat file it was a project by itself. There was no possibility of retrieving the data efficiently and data integrity has been just a term discussed without any modeling or structure around. Database residing in the flat file had more issues than we would like to discuss in today’s world. It was more like a nightmare when there was any data processing involved in the application. Though, applications developed at that time were also not that advanced the need of the data was always there and there was always need of proper data management. Edgar F Codd and 12 Rules Edgar Frank Codd was a British computer scientist who, while working for IBM, invented the relational model for database management, the theoretical basis for relational databases. He presented 12 rules for the Relational Database and suddenly the chaotic world of the database seems to see discipline in the rules. Relational Database was a promising land for all the unstructured database users. Relational Database brought into the relationship between data as well improved the performance of the data retrieval. Database world had immediately seen a major transformation and every single vendors and database users suddenly started to adopt the relational database models. Relational Database Management Systems Since Edgar F Codd proposed 12 rules for the RBDMS there were many different vendors who started them to build applications and tools to support the relationship between database. This was indeed a learning curve for many of the developer who had never worked before with the modeling of the database. However, as time passed by pretty much everybody accepted the relationship of the database and started to evolve product which performs its best with the boundaries of the RDBMS concepts. This was the best era for the databases and it gave the world extreme experts as well as some of the best products. The Entity Relationship model was also evolved at the same time. In software engineering, an Entity–relationship model (ER model) is a data model for describing a database in an abstract way. Enormous Data Growth Well, everything was going fine with the RDBMS in the database world. As there were no major challenges the adoption of the RDBMS applications and tools was pretty much universal. There was a race at times to make the developer’s life much easier with the RDBMS management tools. Due to the extreme popularity and easy to use system pretty much every data was stored in the RDBMS system. New age applications were built and social media took the world by the storm. Every organizations was feeling pressure to provide the best experience for their users based the data they had with them. While this was all going on at the same time data was growing pretty much every organization and application. Data Warehousing The enormous data growth now presented a big challenge for the organizations who wanted to build intelligent systems based on the data and provide near real time superior user experience to their customers. Various organizations immediately start building data warehousing solutions where the data was stored and processed. The trend of the business intelligence becomes the need of everyday. Data was received from the transaction system and overnight was processed to build intelligent reports from it. Though this is a great solution it has its own set of challenges. The relational database model and data warehousing concepts are all built with keeping traditional relational database modeling in the mind and it still has many challenges when unstructured data was present. Interesting Challenge Every organization had expertise to manage structured data but the world had already changed to unstructured data. There was intelligence in the videos, photos, SMS, text, social media messages and various other data sources. All of these needed to now bring to a single platform and build a uniform system which does what businesses need. The way we do business has also been changed. There was a time when user only got the features what technology supported, however, now users ask for the feature and technology is built to support the same. The need of the real time intelligence from the fast paced data flow is now becoming a necessity. Large amount (Volume) of difference (Variety) of high speed data (Velocity) is the properties of the data. The traditional database system has limits to resolve the challenges this new kind of the data presents. Hence the need of the Big Data Science. We need innovation in how we handle and manage data. We need creative ways to capture data and present to users. Big Data is Reality! Tomorrow In tomorrow’s blog post we will try to answer discuss Basics of Big Data Architecture. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

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• Java exception when the traffic grow up

  - by sahid

  I have an error with java/solr when the traffic grows up. It seems Solr tries to cast a java.lang.Object to a org.apache.solr.common.util.ConcurrentLRUCache$CacheEntry SEVERE: java.lang.ClassCastException: [Ljava.lang.Object; cannot be cast to [Lorg.apache.solr.common.util.ConcurrentLRUCache$CacheEntry; at org.apache.solr.common.util.ConcurrentLRUCache$PQueue.myInsertWithOverflow(ConcurrentLRUCache.java:377) at org.apache.solr.common.util.ConcurrentLRUCache.markAndSweep(ConcurrentLRUCache.java:329) at org.apache.solr.common.util.ConcurrentLRUCache.put(ConcurrentLRUCache.java:144) at org.apache.solr.search.FastLRUCache.put(FastLRUCache.java:131) at org.apache.solr.search.SolrIndexSearcher.getDocSet(SolrIndexSearcher.java:573) at org.apache.solr.search.SolrIndexSearcher.getDocSet(SolrIndexSearcher.java:641) at org.apache.solr.search.SolrIndexSearcher.getDocListNC(SolrIndexSearcher.java:1109) at org.apache.solr.search.SolrIndexSearcher.getDocListC(SolrIndexSearcher.java:1090) at org.apache.solr.search.SolrIndexSearcher.search(SolrIndexSearcher.java:337) at org.apache.solr.handler.component.QueryComponent.process(QueryComponent.java:431) at org.apache.solr.handler.component.SearchHandler.handleRequestBody(SearchHandler.java:231) at org.apache.solr.handler.RequestHandlerBase.handleRequest(RequestHandlerBase.java:129) at org.apache.solr.core.SolrCore.execute(SolrCore.java:1298) at org.apache.solr.servlet.SolrDispatchFilter.execute(SolrDispatchFilter.java:340) at org.apache.solr.servlet.SolrDispatchFilter.doFilter(SolrDispatchFilter.java:240) at org.apache.catalina.core.ApplicationFilterChain.internalDoFilter(ApplicationFilterChain.java:235) at org.apache.catalina.core.ApplicationFilterChain.doFilter(ApplicationFilterChain.java:206) at org.apache.catalina.core.StandardWrapperValve.invoke(StandardWrapperValve.java:233) at org.apache.catalina.core.StandardContextValve.invoke(StandardContextValve.java:191) at org.apache.catalina.authenticator.AuthenticatorBase.invoke(AuthenticatorBase.java:470) at org.apache.catalina.core.StandardHostValve.invoke(StandardHostValve.java:127) at org.apache.catalina.valves.ErrorReportValve.invoke(ErrorReportValve.java:102) at org.apache.catalina.core.StandardEngineValve.invoke(StandardEngineValve.java:109) at org.apache.catalina.connector.CoyoteAdapter.service(CoyoteAdapter.java:298) at org.apache.coyote.http11.Http11Processor.process(Http11Processor.java:857) at org.apache.coyote.http11.Http11Protocol$Http11ConnectionHandler.process(Http11Protocol.java:588) at org.apache.tomcat.util.net.JIoEndpoint$Worker.run(JIoEndpoint.java:489) at java.lang.Thread.run(Thread.java:636) This is my java configuration for tomcat JAVA_OPTS="-Djava.awt.headless=true -D64 -server -Xms4096M -Xmx4096M -XX:+UseConcMarkSweepGC -Dcom.sun.management.jmxremote -Dcom.sun.management.jmxremote.port=5400 -Dcom.sun.management.jmxremote.ss\ l=false -Dcom.sun.management.jmxremote.authenticate=false" Somebody know why these errors happen ?

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• Working with Temporal Data in SQL Server

  - by Dejan Sarka

  My third Pluralsight course, Working with Temporal Data in SQL Server, is published. I am really proud on the second part of the course, where I discuss optimization of temporal queries. This was a nearly impossible task for decades. First solutions appeared only lately. I present all together six solutions (and one more that is not a solution), and I invented four of them. http://pluralsight.com/training/Courses/TableOfContents/working-with-temporal-data-sql-server

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• blurry lines between web application context layer, service layer and data access layer in spring

  - by thenaglecode

  I Originally asked this question in SO but on advice I have moved the question here... I'll admit I'm a spring newbie, but you can correct me if I'm wrong, this one liner looks kinda fishy in a best practices sort of way: @RepositoryRestResource(collectionResourceRel="people"...) public interface PersonRepository extends PagingAndSortingRepository<Person, Long> For those who are unaware, the following does many things: It is an interface definition that can be registered in an application context as a jpa repository, automagically hooking up all the default CRUD operations within a persistence context (that is externally configured). and also configures default controller/request-mapping/handler functionality at the namespace "/people" relative to your configured dispatcher servlet-mapping. Here's my point. I just crossed 3 conceptual layers with one line of code! this feels against my seperation-of-concern instincts but i wanted to hear your opinion. And for the sake of being on a question and answer site, I would like to know whether there is a better way of seperating these different layers - Service, Data, Controllers - whilst maintaining as minimal configuration as possible

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• RSolr RequestError Solr Response Severe errors in solr configuration

  - by manalang

  I was reindexing my model when I suddenly shutdown my mac, When I try to reindex again using (Model_name).reindex in script/console I encountered an error that I haven't encountered before. RSolr::RequestError: Solr Response: Severe_errors_in_solr_configuration__Check_your_log_files_for_more_detailed_information_on_what_may_be_wrong__If_you_want_solr_to_continue_after_configuration_errors_change____abortOnConfigurationErrorfalseabortOnConfigurationError__in_null___javalangRuntimeException_javaioIOException_read_past_EOF__at_orgapachesolrcoreSolrCoregetSearcherSolrCorejava1068__at_orgapachesolrcoreSolrCoreinitSolrCorejava579__at_orgapachesolrcoreCoreContainer$InitializerinitializeCoreContainerjava137__at_orgapachesolrservletSolrDispatchFilterinitSolrDispatchFilterjava83__at_orgmortbayjettyservletFilterHolderdoStartFilterHolderjava99__at_orgmortbaycomponentAbstractLifeCyclestartAbstractLifeCyclejava40__at_orgmortbayjettyservletServletHandlerinitializeServletHandlerjava594__at_orgmortbayjettyservletContextstartContextContextjava139__at_orgmortbayjettywebappWebAppContextstartContextWebAppContextjava1218__at_orgmortbayjettyhandlerContextHandlerdoStartContextHandlerjava500__at_orgmortbayjettywebappWebAppContextdoStartWebAppContextjava448__at_orgmortbaycomponentAbstractLifeCyclestartAbstractLifeCyclejava40__at_orgmortbayjettyhandlerHandlerCollectiondoStartHandlerCollectionjava147__at_orgmortbayjettyhandlerContextHandlerCollectiondoStartContextHandlerCollectionjava161__at_orgmortbaycomponentAbstractLifeCyclestartAbstractLifeCyclejava40__at_orgmortbayjettyhandlerHandlerCollectiondoStartHandlerCollectionjava147__at_orgmortbaycomponentAbstractLifeCyclestartAbstractLifeCyclejava40__at_orgmortbayjettyhandlerHandlerWrapperdoStartHandlerWrapperjava117__at_orgmortbayjettyServerdoStartServerjava210__at_orgmortbaycomponentAbstractLifeCyclestartAbstractLifeCyclejava40__at_orgmortbayxmlXmlConfigurationmainXmlConfigurationjava929__at_sunreflectNativeMethodAccessorImplinvoke0Native_Method__at_sun from /usr/local/lib/ruby/gems/1.8/gems/rsolr-0.12.1/lib/rsolr/connection/requestable.rb:39:in `request' from /usr/local/lib/ruby/gems/1.8/gems/rsolr-0.12.1/lib/rsolr/client.rb:34:in `request' from /usr/local/lib/ruby/gems/1.8/gems/rsolr-0.12.1/lib/rsolr/client.rb:22:in `update' from /usr/local/lib/ruby/gems/1.8/gems/rsolr-0.12.1/lib/rsolr/client.rb:76:in `delete_by_query' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot/indexer.rb:55:in `remove_all' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot/session.rb:173:in `remove_all' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot/session.rb:173:in `each' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot/session.rb:173:in `remove_all' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot/session_proxy/abstract_session_proxy.rb:11:in `remove_all' from /usr/local/lib/ruby/gems/1.8/gems/sunspot-1.1.0/lib/sunspot.rb:414:in `remove_all' from /Users/cecilleann/Projects/dhire2/vendor/plugins/sunspot_rails-1.1.0/lib/sunspot/rails/searchable.rb:164:in `solr_remove_all_from_index' from /Users/cecilleann/Projects/dhire2/vendor/plugins/sunspot_rails-1.1.0/lib/sunspot/rails/searchable.rb:183:in `reindex' from (irb):6 Now I haven't been able to fix the error. Please help me. I can't move one. Thanks a lot in advance

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• Spring security request matcher is not working with regex

  - by Felipe Cardoso Martins

  Using Spring MVC + Security I have a business requirement that the users from SEC (Security team) has full access to the application and FRAUD (Anti-fraud team) has only access to the pages that URL not contains the words "block" or "update" with case insensitive. Bellow, all spring dependencies: $ mvn dependency:tree | grep spring [INFO] +- org.springframework:spring-webmvc:jar:3.1.2.RELEASE:compile [INFO] | +- org.springframework:spring-asm:jar:3.1.2.RELEASE:compile [INFO] | +- org.springframework:spring-beans:jar:3.1.2.RELEASE:compile [INFO] | +- org.springframework:spring-context:jar:3.1.2.RELEASE:compile [INFO] | +- org.springframework:spring-context-support:jar:3.1.2.RELEASE:compile [INFO] | \- org.springframework:spring-expression:jar:3.1.2.RELEASE:compile [INFO] +- org.springframework:spring-core:jar:3.1.2.RELEASE:compile [INFO] +- org.springframework:spring-web:jar:3.1.2.RELEASE:compile [INFO] +- org.springframework.security:spring-security-core:jar:3.1.2.RELEASE:compile [INFO] | \- org.springframework:spring-aop:jar:3.0.7.RELEASE:compile [INFO] +- org.springframework.security:spring-security-web:jar:3.1.2.RELEASE:compile [INFO] | +- org.springframework:spring-jdbc:jar:3.0.7.RELEASE:compile [INFO] | \- org.springframework:spring-tx:jar:3.0.7.RELEASE:compile [INFO] +- org.springframework.security:spring-security-config:jar:3.1.2.RELEASE:compile [INFO] +- org.springframework.security:spring-security-acl:jar:3.1.2.RELEASE:compile Bellow, some examples of mapped URL path from spring log: Mapped URL path [/index] onto handler 'homeController' Mapped URL path [/index.*] onto handler 'homeController' Mapped URL path [/index/] onto handler 'homeController' Mapped URL path [/cellphone/block] onto handler 'cellphoneController' Mapped URL path [/cellphone/block.*] onto handler 'cellphoneController' Mapped URL path [/cellphone/block/] onto handler 'cellphoneController' Mapped URL path [/cellphone/confirmBlock] onto handler 'cellphoneController' Mapped URL path [/cellphone/confirmBlock.*] onto handler 'cellphoneController' Mapped URL path [/cellphone/confirmBlock/] onto handler 'cellphoneController' Mapped URL path [/user/update] onto handler 'userController' Mapped URL path [/user/update.*] onto handler 'userController' Mapped URL path [/user/update/] onto handler 'userController' Mapped URL path [/user/index] onto handler 'userController' Mapped URL path [/user/index.*] onto handler 'userController' Mapped URL path [/user/index/] onto handler 'userController' Mapped URL path [/search] onto handler 'searchController' Mapped URL path [/search.*] onto handler 'searchController' Mapped URL path [/search/] onto handler 'searchController' Mapped URL path [/doSearch] onto handler 'searchController' Mapped URL path [/doSearch.*] onto handler 'searchController' Mapped URL path [/doSearch/] onto handler 'searchController' Bellow, a test of the regular expressions used in spring-security.xml (I'm not a regex speciality, improvements are welcome =]): import java.util.Arrays; import java.util.List; public class RegexTest { public static void main(String[] args) { List<String> pathSamples = Arrays.asList( "/index", "/index.*", "/index/", "/cellphone/block", "/cellphone/block.*", "/cellphone/block/", "/cellphone/confirmBlock", "/cellphone/confirmBlock.*", "/cellphone/confirmBlock/", "/user/update", "/user/update.*", "/user/update/", "/user/index", "/user/index.*", "/user/index/", "/search", "/search.*", "/search/", "/doSearch", "/doSearch.*", "/doSearch/"); for (String pathSample : pathSamples) { System.out.println("Path sample: " + pathSample + " - SEC: " + pathSample.matches("^.*$") + " | FRAUD: " + pathSample.matches("^(?!.*(?i)(block|update)).*$")); } } } Bellow, the console result of Java class above: Path sample: /index - SEC: true | FRAUD: true Path sample: /index.* - SEC: true | FRAUD: true Path sample: /index/ - SEC: true | FRAUD: true Path sample: /cellphone/block - SEC: true | FRAUD: false Path sample: /cellphone/block.* - SEC: true | FRAUD: false Path sample: /cellphone/block/ - SEC: true | FRAUD: false Path sample: /cellphone/confirmBlock - SEC: true | FRAUD: false Path sample: /cellphone/confirmBlock.* - SEC: true | FRAUD: false Path sample: /cellphone/confirmBlock/ - SEC: true | FRAUD: false Path sample: /user/update - SEC: true | FRAUD: false Path sample: /user/update.* - SEC: true | FRAUD: false Path sample: /user/update/ - SEC: true | FRAUD: false Path sample: /user/index - SEC: true | FRAUD: true Path sample: /user/index.* - SEC: true | FRAUD: true Path sample: /user/index/ - SEC: true | FRAUD: true Path sample: /search - SEC: true | FRAUD: true Path sample: /search.* - SEC: true | FRAUD: true Path sample: /search/ - SEC: true | FRAUD: true Path sample: /doSearch - SEC: true | FRAUD: true Path sample: /doSearch.* - SEC: true | FRAUD: true Path sample: /doSearch/ - SEC: true | FRAUD: true Tests Scenario 1 Bellow, the important part of spring-security.xml: <security:http entry-point-ref="entryPoint" request-matcher="regex"> <security:intercept-url pattern="^.*$" access="ROLE_SEC" /> <security:intercept-url pattern="^(?!.*(?i)(block|update)).*$" access="ROLE_FRAUD" /> <security:access-denied-handler error-page="/access-denied.html" /> <security:form-login always-use-default-target="false" login-processing-url="/doLogin.html" authentication-failure-handler-ref="authFailHandler" authentication-success-handler-ref="authSuccessHandler" /> <security:logout logout-url="/logout.html" success-handler-ref="logoutSuccessHandler" /> </security:http> Behaviour: FRAUD group **can't" access any page SEC group works fine Scenario 2 NOTE that I only changed the order of intercept-url in spring-security.xml bellow: <security:http entry-point-ref="entryPoint" request-matcher="regex"> <security:intercept-url pattern="^(?!.*(?i)(block|update)).*$" access="ROLE_FRAUD" /> <security:intercept-url pattern="^.*$" access="ROLE_SEC" /> <security:access-denied-handler error-page="/access-denied.html" /> <security:form-login always-use-default-target="false" login-processing-url="/doLogin.html" authentication-failure-handler-ref="authFailHandler" authentication-success-handler-ref="authSuccessHandler" /> <security:logout logout-url="/logout.html" success-handler-ref="logoutSuccessHandler" /> </security:http> Behaviour: SEC group **can't" access any page FRAUD group works fine Conclusion I did something wrong or spring-security have a bug. The problem already was solved in a very bad way, but I need to fix it quickly. Anyone knows some tricks to debug better it without open the frameworks code? Cheers, Felipe

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