A Comparative Study of Very Large Databases by Edward Hill, Jr.

By Edward Hill, Jr.

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IF (i (f(r)) THEN DO [ IS this the tast track to the tracks found", STOP ENDDO. kg] before IF [Move by l~f( i ) o = THEN ELSE [Advance specified ] (F) (f-l(i) THEN DO k. after i~L, i~READ(i), ENDDO, ELSE i~f(i), DO i--READ( f ° l ( i ) ), J . ~ f ( i ) ENDDO, ENDIF. 2. Knuth by chaining [34 I with introduced separate average the lists in an number unsuccessful of accesses search as ® t where a is + £ k) b the Load The storage (k - CR(~jb) number described = 1 by * = and ~actor average device b)P(k) tb(~) b of is * ~bt b the [34 tZb(¢ .

Access of main P Define the used INFO[i] Let address first is function READ(P). the probing) h(K) direct r directory, internal a the address into [Insert track. by of addresses [Compare disk the set by the bucket° that used address. a on variables t he a The containing Assume is of of Location L containing node track has first Assume a Linear transformation addresSeSo a track with maps track of 37 IF (f-l(i) = k) THEN DO P U T Unot found n, STOP ENDDO. ENDIF. ] IF (f-l(i) (F) THEN [Move to the tracks after DO t~.

P j=O J " M n PO where Pj ~nd p is the = ^J average j! e-p number of records in ~ bucket. Use the M's a 34 to caLcutate the P(Vj where of i ) pP(Vj) records * j - average is = ! p Jn-I ~ k=O the average whose 1. p iS the bucket Fk (p) = I ALgorithm the ~k jn-I -k E v=max(Oj(j-1 retrieval j e -p = k-1 E ( 2, ). j! (insertion keys insert that the mean into a key into contains the of reading the Location the of address directory. fast track auxiiiary track [Hash the a track of the a a disk is the the k~i.

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