LEADER 05063nam 2200673 450 001 9910828488603321 005 20200520144314.0 035 $a(CKB)2670000000613478 035 $a(EBL)2037702 035 $a(SSID)ssj0001539948 035 $a(PQKBManifestationID)11936705 035 $a(PQKBTitleCode)TC0001539948 035 $a(PQKBWorkID)11533438 035 $a(PQKB)11602402 035 $a(Au-PeEL)EBL2037702 035 $a(CaPaEBR)ebr11051926 035 $a(CaONFJC)MIL778536 035 $a(OCoLC)910639594 035 $a(MiAaPQ)EBC2037702 035 $a(PPN)228036062 035 $a(EXLCZ)992670000000613478 100 $a20150516h20152015 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aScaling big data with Hadoop and Solr $eunderstand, design, build, and optimize your big data search engine with Hadoop and Apache Solr /$fHrishikesh Vijay Karambelkar 205 $aSecond edition. 210 1$aBirmingham, England :$cPackt Publishing,$d2015. 210 4$dİ2015 215 $a1 online resource (166 p.) 225 1 $aCommunity Experience Distilled 300 $aIncludes index. 311 $a1-78355-339-1 311 $a1-78355-340-5 327 $aCover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Processing Big Data Using Hadoop and MapReduce; Apache Hadoop's ecosystem; Core components; Understanding Hadoop's ecosystem; Configuring Apache Hadoop; Prerequisites; Setting up ssh without passphrase; Configuring Hadoop; Running Hadoop; Setting up a Hadoop cluster; Common problems and their solutions; Summary; Chapter 2: Understanding Apache Solr; Setting up Apache Solr; Prerequisites for setting up Apache Solr; Running Apache Solr on jetty 327 $aRunning Solr on other J2EE containersHello World with Apache Solr!; Understanding Solr administration; Solr navigation; Common problems and solutions; The Apache Solr architecture; Configuring Solr; Understanding the Solr structure; Defining the Solr schema; Solr fields; Dynamic fields in Solr; Copying the fields; Dealing with field types; Additional metadata configuration; Other important elements of the Solr schema; Configuration files of Apache Solr; Working with solr.xml and Solr core; Instance configuration with solrconfig.xml; Understanding the Solr plugin; Other configuration 327 $aLoading data in Apache SolrExtracting request handler - Solr Cell; Understanding data import handlers; Interacting with Solr through SolrJ; Working with rich documents (Apache Tika); Querying for information in Solr; Summary; Chapter 3: Enabling Distributed Search using Apache Solr; Understanding a distributed search; Distributed search patterns; Apache Solr and distributed search; Working with SolrCloud; Why ZooKeeper?; The SolrCloud architecture; Building an enterprise distributed search using SolrCloud; Setting up SolrCloud for development; Setting up SolrCloud for production 327 $aAdding a document to SolrCloudCreating shards, collections, and replicas in SolrCloud; Common problems and resolutions; Sharding algorithm and fault tolerance; Document Routing and Sharding; Shard splitting; Load balancing and fault tolerance in SolrCloud; Apache Solr and Big Data - integration with MongoDB; What is NoSQL and how is it related to Big Data?; MongoDB at glance; Installing MongoDB; Creating Solr indexes from MongoDB; Summary; Chapter 4: Big Data Search Using Hadoop and Its Ecosystem; Understanding NoSQL; Working with the Solr HDFS connector; Big data search using Katta 327 $aHow Katta works?Setting up the Katta cluster; Creating Katta indexes; Using Solr 1045 Patch - map-side indexing; Using Solr 1301 Patch - reduce-side indexing; Distributed search using Apache Blur; Setting up Apache Blur with Hadoop; Apache Solr and Cassandra; Working with Cassandra and Solr; Single node configuration; Integrating with multinode Cassandra; Scaling Solr through Storm; Getting along with Apache Storm; Advanced analytics with Solr; Integrating Solr and R; Summary; Chapter 5: Scaling Search Performance; Understanding the limits; Optimizing search schema 327 $aSpecifying default search field 330 $aThis book is aimed at developers, designers, and architects who would like to build big data enterprise search solutions for their customers or organizations. No prior knowledge of Apache Hadoop and Apache Solr/Lucene technologies is required. 410 0$aCommunity experience distilled. 606 $aElectronic data processing 606 $aData mining 606 $aBig data 615 0$aElectronic data processing. 615 0$aData mining. 615 0$aBig data. 676 $a004 700 $aKarambelkar$b Hrishikesh Vijay$01679265 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910828488603321 996 $aScaling big data with Hadoop and Solr$94047367 997 $aUNINA