Apache Quickstep is high-performance database engine designed to exploit the full potential of hardware that is packed in modern computing boxes (servers and laptops). The initial version (available now!) targets single-node in-memory environments. If your data spills overs the memory limit Quickstep will still work, so you don't have to obsessively worry about the in-memory part. Also, if your working set fits in memory then Quickstep will transparently and automatically figure that out, and cache that hot set to deliver in-memory performance.
Distributed execution is the next big feature for Quickstep.
Did you know that the hardware that you have in your laptop was spread across a small cluster just a decade ago? (PS: Hopefully you are not using a very old laptop!) If you look at a high-end server box, then that packs compute and storage power that was a full rack about 5 years ago! And, the way hardware technology is going, that box is going to become even more powerful in the future. In fact, it is likely that the computing power in each box is going to grow faster than other hardware components (e.g. networking) in data centers. So, if you care about performance and/or total operating costs, paying attention to single box performance is likely to be super important in the long run.
In other words there is a small data center in an individual compute boxes today! Quickstep aims to allow you to fully exploit the potential of that data center that is hidden in each individual box today. We call this the scaling-in approach, and it complements a scaling-out approach. But without scaling-in, you are overpaying (by a lot!) when you run your data service.
Modern computing boxes contain a large number of computing cores and large main memory configuration. Quickstep allows you to fully exploit these hardware resources using novel data processing, data storage, and query processing methods that include:
A unique decoupling of data-flow from control-flow for query execution that allows for unlimited intra and inter-query parallelism. Thus, using all the processing core effectively.
A template meta-programming framework that provides fast vectorized query execution. Thus, using each processor cycle very efficiently.
A hybrid data storage architecture that includes columnar and row-store. Yes, this may surprise some of you, but sometimes a row-store beats a column-store!
And, it is open source!
git clone https://git-wip-us.apache.org/repos/asf/incubator-quickstep.git quickstep
git submodule init
git submodule update
cd third_party && ./download_and_patch_prerequisites.sh && cd ../
cmake -D CMAKE_BUILD_TYPE=Release ..
make -j4. Note you may replace the 4 with the number of cores on your machine.
./quickstep_cli_shell --initialize_db=true. You can now fire SQL queries. To quit, you can type in
quit;Your data is stored in the directory
qsstor. Note the next time you start Quickstep, you can omit the
--initialize_dbflag (as the database has already been initialized), and simply start Quickstep as:
./quickstep_cli_shell. There are also a number of optional flags that you can specify, and to see the full list, you can type in:
CREATE TABLE Weather (cid INTEGER, recordDate DATE, highTemperature FLOAT, lowTemperature FLOAT);
CREATE TABLE City (cid Integer, name VARCHAR(80), state CHAR(2));
Next, let us insert some tuples in these two tables.
INSERT INTO City VALUES (1, 'Madison', 'WI'); INSERT INTO City VALUES (2, 'Palo Alto', 'CA'); INSERT INTO Weather VALUES (1, '2015-11-1', 50, 30); INSERT INTO Weather VALUES (1, '2015-11-2', 51, 32); INSERT INTO Weather VALUES (2, '2015-11-1', 60, 50);
We can now issue SQL queries such as: a. Find all weather records for California:
SELECT * FROM WEATHER W, City C WHERE C.cid = W.cid AND C.state = 'CA';
b. Find the min and max temperature for each city, printing the
SELECT cid, MIN(lowTemperature), MAX(highTemperature) FROM Weather GROUP BY cid;
c. Find the min and max temperature for each city using a nested query, and printing thie city name:
SELECT * FROM City C, (SELECT cid, MIN(lowTemperature), MAX(highTemperature) FROM Weather GROUP BY cid) AS T WHERE C.cid = T.cid;
Quickstep also supports a COPY TABLE command. If you want to try that, then from a separate shell file type in the following:
echo "3|2015-11-3|49|29" > /tmp/tmp.tbl echo "3|2015-11-4|48|28" >> /tmp/tmp.tbl echo "3|2015-11-5|47|27" >> /tmp/tmp.tbl
Then, load this new data by typing the following SQL in the Quickstep shell:
COPY Weather FROM '/tmp/tmp.tbl' WITH (DELIMITER '|');
Now, you have loaded three more tuples into the Weather table, and you can fire the SQL queries above again against this modified database.
Remember, to quit Quickstep, you can type in
quit; into the Quickstep shell.
Quickstep is licensed under the Apache License, Version 2.0. See LICENSE for the full license text.
Apache Quickstep is an effort undergoing incubation at the Apache Software Foundation (ASF), sponsored by the Apache Incubator PMC.
Incubation is required of all newly accepted projects until a further review indicates that the infrastructure, communications, and decision making process have stabilized in a manner consistent with other successful ASF projects.
While incubation status is not necessarily a reflection of the completeness or stability of the code, it does indicate that the project has yet to be fully endorsed by the ASF.