{"id":724744,"date":"2021-02-09T12:48:24","date_gmt":"2021-02-09T20:48:24","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/?post_type=msr-research-item&#038;p=724744"},"modified":"2021-02-09T12:48:24","modified_gmt":"2021-02-09T20:48:24","slug":"indexing-hdfs-data-in-pdw-splitting-the-data-from-the-index","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/indexing-hdfs-data-in-pdw-splitting-the-data-from-the-index\/","title":{"rendered":"Indexing HDFS data in PDW: splitting the data from the index"},"content":{"rendered":"<p>There is a growing interest in making relational DBMSs work synergistically with MapReduce systems. However, there are interesting technical challenges associated with figuring out the right balance between the use and co-deployment of these systems. This paper focuses on one specific aspect of this balance, namely how to leverage the superior indexing and query processing power of a relational DBMS for data that is often more cost-effectively stored in Hadoop\/HDFS. We present a method to use conventional B+-tree indices in an RDBMS for data stored in HDFS and demonstrate that our approach is especially effective for highly selective queries.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>There is a growing interest in making relational DBMSs work synergistically with MapReduce systems. However, there are interesting technical challenges associated with figuring out the right balance between the use and co-deployment of these systems. This paper focuses on one specific aspect of this balance, namely how to leverage the superior indexing and query processing [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"VLDB Endowment","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"","msr_page_range_start":"1520","msr_page_range_end":"1528","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Very Large Data Bases","msr_doi":"","msr_arxiv_id":"","msr_s2_paper_id":"","msr_mag_id":"2295868080","msr_pubmed_id":"","msr_other_authors":"","msr_other_contributors":"","msr_speaker":"","msr_award":"","msr_affiliation":"","msr_institution":"","msr_host":"","msr_version":"","msr_duration":"","msr_original_fields_of_study":"","msr_release_tracker_id":"","msr_s2_match_type":"","msr_citation_count_updated":"","msr_published_date":"2014-7-31","msr_highlight_text":"","msr_notes":"","msr_longbiography":"","msr_publicationurl":"","msr_external_url":"","msr_secondary_video_url":"","msr_conference_url":"","msr_journal_url":"","msr_s2_pdf_url":"","msr_year":0,"msr_citation_count":0,"msr_influential_citations":0,"msr_reference_count":0,"msr_s2_match_confidence":0,"msr_microsoftintellectualproperty":true,"msr_s2_open_access":false,"msr_s2_author_ids":[],"msr_pub_ids":[],"msr_hide_image_in_river":0,"footnotes":""},"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-publisher":[],"msr-focus-area":[],"msr-locale":[268875],"msr-post-option":[],"msr-field-of-study":[246691,248884,252052,252055,251617,249496],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-724744","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us","msr-field-of-study-computer-science","msr-field-of-study-database","msr-field-of-study-figuring","msr-field-of-study-highly-selective","msr-field-of-study-relational-database-management-system","msr-field-of-study-search-engine-indexing"],"msr_publishername":"VLDB Endowment","msr_edition":"","msr_affiliation":"","msr_published_date":"2014-7-31","msr_host":"","msr_duration":"","msr_version":"","msr_speaker":"","msr_other_contributors":"","msr_booktitle":"","msr_pages_string":"","msr_chapter":"","msr_isbn":"","msr_journal":"","msr_volume":"","msr_number":"","msr_editors":"","msr_series":"","msr_issue":"","msr_organization":"","msr_how_published":"","msr_notes":"","msr_highlight_text":"","msr_release_tracker_id":"","msr_original_fields_of_study":"","msr_download_urls":"","msr_external_url":"","msr_secondary_video_url":"","msr_longbiography":"","msr_microsoftintellectualproperty":1,"msr_main_download":"","msr_publicationurl":"","msr_doi":"","msr_publication_uploader":[{"type":"doi","viewUrl":"false","id":"false","title":"10.14778\/2733004.2733023","label_id":"243106","label":0},{"type":"url","viewUrl":"false","id":"false","title":"http:\/\/www.vldb.org\/pvldb\/vol7\/p1520-gankidi.pdf","label_id":"243132","label":0},{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/dblp.uni-trier.de\/db\/journals\/pvldb\/pvldb7.html#GankidiTPHD14","label_id":"243109","label":0},{"type":"url","viewUrl":"false","id":"false","title":"https:\/\/dl.acm.org\/doi\/10.14778\/2733004.2733023","label_id":"243109","label":0}],"msr_related_uploader":"","msr_citation_count":0,"msr_citation_count_updated":"","msr_s2_paper_id":"","msr_influential_citations":0,"msr_reference_count":0,"msr_arxiv_id":"","msr_s2_author_ids":[],"msr_s2_open_access":false,"msr_s2_pdf_url":null,"msr_attachments":[],"msr-author-ordering":[{"type":"text","value":"Vinitha Reddy Gankidi","user_id":0,"rest_url":false},{"type":"text","value":"Nikhil Teletia","user_id":0,"rest_url":false},{"type":"text","value":"Jignesh M. 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