Ming-Ling Lo and Chinya V. Ravishankar. Towards Eliminating Random I/O in Hash Joins. IEEE. Proc. of 12th Int'l Conf. on Data Engineering, 1996.

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A Comprehensive Survey of Join Techniques in Relational Databases - Yang, Singhal (1997)   (Correct)

....attribute values can be used to filter out unmatchable tuples of S while scan S. This is a similar but more generalized method than semijoin. Other more general methods of semijoins can be found in [18, 26] Eliminating random I O: Hash join has two phases: partitioning and joining phases. In [62], disk I Os are divided into four phases: PR, PW, JR, JW. PR represents partitioning phase read, PW represents partitioning phase write, JR represents joining phase read, and JW represents joining phase write. For convenience of comparison, in this paper we assume PW and JR are sequential. ....

....write, JR represents joining phase read, and JW represents joining phase write. For convenience of comparison, in this paper we assume PW and JR are sequential. Actually, this assumption is not totally true. The proposed optimization targets reducing random disk I Os on two phases: PW and JR. In [62], hash buckets are comprised of bucket segments. Each bucket segment is a physically contiguous storage area. Several bucket segments can form a write group. 23 The memory for performing join operation are divided into three parts: IB, the input buffer, SB, the staging buffer, and OB, the output ....

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Ming-Ling Lo and Chinya V. Ravishankar. Towards Eliminating Random I/O in Hash Joins. IEEE. Proc. of 12th Int'l Conf. on Data Engineering, 1996.

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