Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr class="thead"><td class="align_left" colspan="3">Intermediate data size (GB)</td><td class="align_left" colspan="2">Improvement wrt NT</td></tr><tr><td class="thead-hr" colspan="5"><hr/></td></tr><tr><td class="align_left">NT</td><td class="align_left">FG-T</td><td class="align_left">CG-T</td><td class="align_left">FG-T</td><td class="align_left">CG-T</td></tr><tr><td class="align_left">82</td><td class="align_left">72</td><td class="align_left">68</td><td class="align_left">14%</td><td class="align_left">17%</td></tr><tr class="table-tr"><td colspan="5"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Total intermediate data size of shared two-way join queries in Hadoop MapReduce.</div>

Complexity

tab6

Table 6

Table 6: Exploiting Sharing Join Opportunities in Big Data Multiquery Optimization with Flink 