Advances in Databases: 28th British National Conference on by Christian Bizer (auth.), Alvaro A. A. Fernandes, Alasdair J.

By Christian Bizer (auth.), Alvaro A. A. Fernandes, Alasdair J. G. Gray, Khalid Belhajjame (eds.)

This booklet constitutes the completely refereed post-conference lawsuits of the twenty eighth British nationwide convention on Databases, BNCOD 28, held in Manchester, united kingdom, in July 2011. The thirteen revised complete papers, 2 brief papers, 2 demo papers and 1 poster paper offered including the abstracts of two keynote talks and 1 educational paper have been rigorously reviewed and chosen from forty four submissions. The papers hide quite a lot of issues akin to XML compression, XML updates, column-oriented shops, provenance, warehousing, streamed information, facts mashups, dataspaces, sensor community question processing, and pattern-oriented search.

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Additional info for Advances in Databases: 28th British National Conference on Databases, BNCOD 28, Manchester, UK, July 12-14, 2011, Revised Selected Papers

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Dictionary columns for DMDSM and VDMDSM Table 5. DMDSM Dict. Column 0 Keyd0 Valued0 d02 137 d03 173 d05 317 d04 371 d06 713 d01 731 23 Table 6. VDMDSM Columnv0 Columnk1 Columnk2 Vector Column Keyv0 Valuev0 Key Value Key Value Key Value Keyd1 Valued1 Keyd2 Valued2 k2 d02 k1 d11 k1 d21 v1 d01,d11,d21 d11 20090327 d23 Christian k3 d03 k2 d12 k2 d22 v2 d02,d12,d22 d12 20071201 d21 Jana k5 d05 k3 d13 k3 d23 v3 d03,d13,d23 d13 20010925 d22 Tobias k4 d04 k4 d11 k4 d22 v4 d04,d11,d22 k6 d06 k5 d11 k5 d22 v5 d05,d11,d22 k1 d01 k6 d13 k6 d21 v6 d06,d13,d21 Dict.

On the second level above, T-Trees are used, which are optimized for main memory. At the third level, B+-Tree is used, which is optimal for persistent storage. Previously published results from Bender et al. [5], Chen et al. [8], and Morzy et al. [14] also influenced our decision for the use of hierarchically-organized storage structures. ECOS: Evolutionary Column-Oriented Storage 21 Table 1. TPC-H LINEITEM table observed statistics, possible customization, and anticipated evolution Column Name Distinct Workload Count Data Storage Structure Storage Structure Storage Structure Access Initial 1st Evolution 2nd Evolution L ORDERKEY 1500000 Sorted Array Sorted List B+-Tree L COMMENT 4501941 Sorted Array Sorted List Hash Table L DISCOUNT L SHIPMODE L SHIPINSTRUCT 11 Read-Intensive Sorted Array 7 Heap Array 4 Heap Array L RECEIPTDATE 2554 L COMMITDATE 2466 Ordered Sorted Array Sorted List L SHIPDATE 2526 Ordered Sorted Array Sorted List Heap Array L LINESTATUS 2 Heap Array L RETURNFLAG 3 Heap Array L TAX 9 Read-Intensive Sorted Array 933900 Read-Intensive Sorted Array L EXTENDEDPRICE L QUANTITY L LINENUMBER Heap List Sorted List 7 Heap Array L SUPPKEY 10000 Heap Array Heap List L PARTKEY 200000 Sorted Array Sorted List 3 B+-Tree 50 Read-Intensive Ordered Sorted Array Hash Table Evolutionary Column-Oriented Storage In this section, we explain the concepts of ECOS in detail.

Column 2 (a) Dictionary columns (a) Primary key columns(b) Columns clustered on key clustered on value (a) Vector column in search criteria as shown in Section 4. Our results in Section 4 suggest that if we do not have any space constraint and we do need access using non-key attributes, this scheme is not appropriate. Dictionary based Minimal DSM (DMDSM). To improve the performance of MDSM, we introduced DMDSM, which stores the unique data for each column separately as the dictionary column. DMDSM is inspired from the concept of the dictionary encoding scheme, which is frequently used as light-weight compression technique in many column-oriented data management systems [1].

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