In-Memory Database (Java) Developed by Alan Lu JSON ~> Table Exploration of various data stores Queried via SQL statements Single-threaded...
Why Cheetah? ○ ○ ○ ○
Faster than disk-optimized databases (~6x) Eliminates seek time when querying... Faster and more predictable performance Critical for real-time response
Overview: Cheetah ○ ○ ○ ○
Current Architecture Current Data Stores Exploring the Column Store Implementation Speeding Up Queries and Insertion!
Cheetah: Current Architecture Read JSON
Cheetah: Current Architecture Read JSON Insert into Data Store
Cheetah: Current Architecture Read JSON Insert into Data Store
Query via SQL statements
SELECT dyn2 WHERE num BETWEEN 0 AND 10
Cheetah: Current Data stores
Δ Δ Δ Δ Δ
Each key has a table No Schema required Uses two arrays per table Excellent for sparse data Not so great for Querying
Cheetah: Other Data Structures?
Cheetah: Other Data Structures?
Cheetah: Running Queries in Parallel Original program flow: 1) 2)
3)
Read in database Read and perform queries one by one a) Parse query b) Execute query → writes to a result set c) Print result information Next query clears and overwrites result set
Cheetah: Running Queries in Parallel Parallel program flow: 1) Read in database 2) Initialize thread pool 3) Initialize result set: each thread has it’s own result set 4) Run queries in parallel 5) Print results
Cheetah: Issues with parallelization - Results Sets are large: 3 large arrays in each result set - Lack of memory
Cheetah: Running Queries in Parallel
Cheetah: Java Profiling with YourKit Sequential Execution time: ~7000ms Threadpool with 1 thread time: ~1500ms
% of time for Original program (Sequential)
% of time for parallelized program (with 1 thread)
Executing Querying
9%
~0%
Printing Summary
47%
15%
Cheetah: Faster Insertions ● Parallel inserts of JSON objects ● Coarse grained lock ● Fine grained lock works better for sparse data
Cheetah: What’s next? ● ● ● ●
Exclusion SQL statement (e.g NOT IN) Explore other data store configurations Cache hit/miss mechanism Explore lock granularities: table, column, hybrid
Cheetah: Conclusion ● Explored different data structures ● Added functionality for SQL INSERT statement ● Achieved speedup by adding multi-threaded support for read and write
Benchmarks rewritten using perf: new project performance ... in debug hooks. Only numy misused the API (fixed) ... The Python test suite is now used, rather than ...
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Mar 14, 2012 - Home Search. Collections Journals About Contact us My IOPscience .... sample-dependent, the best spatial resolution reported being close to one nanometer [14]. 3. ... by a cylindrical island located at the center of the top facet of a
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