Hadoop Tutorial | Spark Kafka Nosql and BigData tools for DWH

updating csv document in solr [user@localhost exampledocs]$ curl http://localhost:8983/solr/update/csv --data- binary @books.csv -H 'Content-type:text/plain; charset=utf-8' after above command you will see like this: <?xml version="1.0" encoding="UTF-8"?> <response> <lst name="responseHeader"><int name="status">0</int><int name="QTime">60</int></lst> </response> [user@localhost exampledocs]$ curl http://localhost:8983/solr/update/csv --data-binary @books.csv -H 'Content-type:text/plain; charset=utf-8' <?xml version="1.0" encoding="UTF-8"?> <response> <lst name="responseHeader"><int name="status">0</int><int name="QTime">61</int></lst> </response> [user@localhost exampledocs]$ means data is updating.. i am also working on this so i'll change/upd

   Solr Installation and New core Configuration: Apache Solr achieve fast search responses because, instead of searching the text directly, it searches an index. This is like retrieving pages in a book based on a word by scanning the index at the back of a book, as opposed to searching every word of every page of the book. This type of index is called an inverted index, because it inverts a page-centric data structure (page->words) to a keyword-centric data structure (word->pages). Solr stores this index in a directory called index in the data directory. Apache Solr is powered by Lucene, a powerful open-source full-text search library, under the hood. The relationship between Solr and Lucene, is like that of the relationship between a car and engine. In Solr, a Document is the unit of search and index. An index consists of one or more Documents, and a Document consists of one or more Fields. Solr Installation and New core Configuration: 1. Installation- Download so