Abstract:A new variant of Counting Bloom Filter was set up to build Hbase secondary index to support the retrieval of non-primary key data, which solved the problem that Hbase only supported the main index structure and retrieve data through the primary key and the primary key range. The new variant, Split Counting Bloom Filter(SCBF), was proposed according to the high overflow probability problem of Counting Bloom Filter(CBF) after analyzing existing CBF technology. SCBF divided standard CBF into multiple independent regions, which stored elements' fingerprint by all these areas. Comparing SCBF with CBF, the experimental result shows that, SCBF contributes to much lower overflow probability, which improves the performance of filter, and can be used to build the Hbase secondary index.