By Edward Hill, Jr.
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Additional resources for A Comparative Study of Very Large Databases
I ........! I I I I I I I ! I ! J ! I ! I Id ,-4 49 Morrlson on the binary nodes. method varlabLe-[ength many in a the Bayer on a disk fixed by size direc¢ The Bayer B-tree. and the [east B-tree in foLLowing keyS. 3 is and for ¢0 form without dealing to of in McCreight [4J what a N-node storing with trie array. addressing is transfer search keys trees in extremely the Long s is related Het[erman in a solved catted information  analyzed multldimensiona[ the a to problem ~ a between array, of block main and storing of keys storage storage of and storage.
Direct for looking the access retrieval, storage 36 Algorithm A''" hashing (Deletion A key-to-address the keys delete into a contains reading bucket key from the address of a the writing of the address P. a track of the that that the been the [Hash key and the is address read the f memory track i that a and k function first F is DO key with IF )) k~i. current (INFO[i] of are THEN deletion that by ] DO for this key. INFO[i]~detetion WRITE(f'I( STOP ELSE IF ENDIF. ENDIF. ~i - 1 , ] ] indicator, i ))) ENDDO, ( INFO[i] THEN that the to = empty) DO P U T " n o t foundH) STOP ENDDO.
Is of a keys. In generalized discovered representation This addressing [49J The Length tear Is Each node at Least or it of any path the root to any h. 7° and The two Each flguPe root 1 sons, 3. presented from most the root is reaves has empty sons. 2k * 1 Sons. example of a The natural B-tree numbers with are k = used 1, for a 50 The data part of the B-tree is omitted. _ P I . - ............ ffi p o i n t e r . Ki = key, Di = data, a. Format 2 . of . 4 a B-Tree . iiiiiil . 7. B-Tree. 51 The grow.