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--- cluster:174 [2018/08/27 14:45] – hmeij07
+++ cluster:174 [2018/08/28 12:38] (current) – hmeij07
@@ Line 3: / Line 3: @@
 ==== SQL on GPU ====
+MapD built the first ever open source SQL engine to harness GPU computing for analytics. Designed for maximum performance, the MapD SQL engine dynamically compiles SQL to run across multiple GPUs and CPUs. Massively parallel database servers.
+  * http://www.mapd.com
+** Browser **
+Log into one of the tails like petaltail, swallowtail or cottontail2 preferably, and with x11-forwarding enabled go to port 9092 of node ''n37'' and create a dashboard. Use the "data" subnet (10.10) eth1.
+  * http://n37-eth1:9092
+  - Click New Dashboard.
+  - Click Add Chart.
+  - Click SCATTER.
+  - Click Add Data Source.
+  - Choose the flights_2008_7M table as the data source.
+  - Click X Axis +Add Measure.
+  - Choose depdelay. (departure delay)
+  - Click Y Axis +Add Measure.
+  - Choose arrdelay. (arrival delay)
+million records, amazingly fast. I mean  like < 50 ms (milliseconds). There are pie, bar, stacked bar, bubble etc charts and point maps or chloropleth maps. A SQL editor.  And I do not even observe a blip on gpu utilization. Each of these K20 nodes still has 7 drive bays available which would allow for a large database storage platform if we had a mapd project.
+{{ :cluster:dep-arr-scatterplot.png?nolink&400 |}}
 ** Interactive **
-https://www.mapd.com/docs/latest/3_mapdql.html
+  * https://www.mapd.com/docs/latest/3_mapdql.html
+  * can be scripted using mapdql
+<code>
+[root@n37 ~]# export MAPD_USER=mapd
+[root@n37 ~]# export MAPD_GROUP=mapd
+[root@n37 ~]# export MAPD_STORAGE=/var/lib/mapd
+[root@n37 ~]# export MAPD_PATH=/opt/mapd
+[root@n37 ~]# cd $MAPD_PATH
+[root@n37 mapd]# ./bin/mapdql
+Password: (HyperInteractive)
+User mapd connected to database mapd
+mapdql>
 mapdql> \t ^flight.*
 flights_2008_7M
-mapdql> SELECT origin_city AS "Origin", dest_city AS "Destination", AVG(airtime) AS "Average Airtime" FROM flights_2008_7M WHERE distance < 175 GROUP BY origin_city, dest_city;
+mapdql> SELECT origin_city AS "Origin", dest_city AS "Destination",
+- AVG(airtime) AS "Average Airtime" FROM flights_2008_7M
+- WHERE distance < 175 GROUP BY origin_city, dest_city;
 ...
-SELECT origin_city AS "Origin", dest_city AS "Destination", AVG(airtime) AS
+Portland|North Bend|46.12162162162162
-"Average Airtime" FROM flights_2008_7M WHERE distance < 175 GROUP BY origin_city,
+Medford|North Bend|28
-dest_city;
+Covington|Huntington|24.98076923076923
+mapdql>
+</code>
 ** Demos **
-https://www.mapd.com/demos/
+  * https://www.mapd.com/demos/
 ** Load sample **
 <code>
-/opt/mapd
+/opt/mapd/insert_sample_data
 Enter dataset number to download, or 'q' to quit:
  #     Dataset                   Rows    Table Name             File Name
@@ Line 58: / Line 99: @@
 </code>
+  * https://www.mapd.com/docs/latest/4_centos7-yum-gpu-ce-recipe.html
 \\
 **[[cluster:0|Back]]**