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Tree- and Hash-Structured Indexes

Tree- and Hash-Structured Indexes

Tree- and Hash-Structured Indexes. Selected Sections of Chapters 10 & 11. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k >

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424 views • 42 slides
Tree- and Hash-Structured Indexes

Tree- and Hash-Structured Indexes

Tree- and Hash-Structured Indexes. Selected Sections of Chapters 10 & 11. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k >

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359 views • 34 slides
Tree-Structured Indexes (Brass Tacks)

Tree-Structured Indexes (Brass Tacks)

Tree-Structured Indexes (Brass Tacks). Chapter 10 Ramakrishnan and Gehrke (Sections 10.3-10.8). What will I learn from this set of lectures?. How do B+trees work (for search)? How can I tune B+trees for performance? How can I maintain its balance against inserts and deletes?

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285 views • 28 slides
Tree-Structured Indexes

Tree-Structured Indexes

Tree-Structured Indexes. Chapter 10. Introduction. As for any index, 3 alternatives for data entries k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k >

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269 views • 26 slides
Tree-Structured Indexes

Tree-Structured Indexes

Tree-Structured Indexes. Selected Sections of Chapter 10. Introduction. Recall the 3 alternatives for a data entry k* : Data record with key value k < k , rid of data record with search key value k > < k , list of rids of data records with search key k >

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234 views • 23 slides
B+-Trees

B+-Trees

B+-Trees. Storage Technology: Topic 5. B+ Tree: Features. Insert/delete at log F N cost; keep tree height-balanced . (F = fanout, N = # leaf pages)

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233 views • 15 slides
B+-Trees

B+-Trees

B+-Trees. Storage Technology: Topic 5. B+ Tree: Features. Insert/delete at log F N cost; keep tree height-balanced . (F = fanout, N = # leaf pages)

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298 views • 15 slides

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