? This article was published in September 2009-10-2608: 39 Source: SCID 112200911: 45: 39AM according to foreign media reports, the European branch of the Free Software Foundation (FSFE) said on Friday, oracle should hand over the MySQL database to an independent non-profit organization to allow the EU to approve Oracle's early acquisition of the Sun transaction. FSFE said that Oracle should
? This article was published on 11:45:39 Source: SCID 11/2/2
done replacingVerifying the installationAt this point, execute the sqlline.py command and query all tables:Test InstallationSome test scripts are included by default, and you can observe the changes in the data by executing these test scripts.querying the Web_stat data0:jdbc:phoenix:hadoop107,hadoop108,hadoop104> SELECT * FROM web_stat;+------+---------------------------------- --------+------------------------------------------+-------------------------+--------------------------------- ------
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experiment.If you want to use the same app, you can download jdk 7 and JavaFX demos and samples to the Java SE download page. The sample app I'm using is Java2demo.jar, which is located in the jdk1.7.0_55/demo/jfc/java2d directory. This is only an optional step and you can run a GC monitoring command to monitor any Java application.The commands I use to open the demo app are:1. [emailprotected]:~/Downloads/jdk1.7.0_55/demo/jfc/Java2D$ java -Xmx120m -Xms30m -Xmn10m -XX:PermSize=20m -XX:MaxPermSi
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$str =' Controllable Eu valence for photoluminescence tuning in apatite-typed';在编码为GBK的情况下是'聽 聽 聽 聽 聽 聽 聽 聽 聽 聽 聽 聽 聽 聽Controllable Eu valence for photoluminescence tuning in apatite-typed';在utf-8下是' Controllable Eu valence for photoluminescence tuning in apatite-typed';
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How do I divide partition when querying Phoenix data with mapreduce/hive?PhoenixInputFormatThe source code at a glance to know: public listgetsplits (jobcontext context) throws IOException, interruptedexception {Configuration configuration = Context. (); Queryplan Queryplan = this . getqueryplan (context, configuration); List allsplits = Queryplan. getsplits (); List splits = this . generatesplits (Queryplan, allsplits); return splits; }Create a query plan based on
finds the most frequently occurring word in a string and prints the number of occurrences.
Copy Code code as follows:
Import re
From collections Import Counter
String = "" "Lorem ipsum dolor sit amet, consectetur
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Sapien vel feugiat vestibulum, nulla dui pretium,
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\liqingshan>jstat-gc 16744 s0c s1c s0u s1u EC EU OC OU MC MU ccsc ccsu ygc ygct FGC fgct GCT512.0 512.0 0.0 64.0 24064.0 18288.8 87552.0 764.1 4864.0 2709.6 512.0 294.8 711 0.234 0 0.000 0.234
S0C: Capacity of the first survivor in the Cenozoic (bytes)
S1C: The capacity of the second survivor in the Cenozoic (bytes)
S0U: The first survivor in the
StatisticsC:\Users\Administrator>jstat -gc 2060 S0C S1C S0U S1U EC EU OC OU MC MU CCSC CCSU YGC YGCT FGC FGCT GCT20480.0 20480.0 0.0 13115.3 163840.0 113334.2 614400.0 436045.7 63872.0 61266.5 0.0 0.0 149 3.440 8 0.295 3.735
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2
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2
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S0C: The size of the first surviving area
S1C: The size o
Reference: 5 kinds of MySQL log analysis tools to compete http://blog.csdn.net/gzh0222/article/details/103844751.mysql-log-filter Tool Script Usage instructions:An analysis tool found on Google code. Two executable scripts for Python and PHP are available. http://code.google.com/p/mysql-log-filter/(need to move ladder climbing wall), 51cto download Link:How to use: (This is the only way to use Python)Python mysql_filter_slow_log.py./mysql1-slow.log--no-duplicates--sort-execution-count--top=10 >>
Calculation 2Time limit:2000/1000 MS (java/others) Memory limit:32768/32768 K (java/others)Total submission (s): 3305 Accepted Submission (s): 1367Problem Descriptiongiven A positive integer N, your task is to calculate the sum of the positive integers less than N whic H is not coprime to N. A is said to being coprime to B if A, B share no common positive divisors except 1.Inputfor Each test case, there was a line containing a positive integer N (1≤n≤1000000000). A line containing a single 0 fol
This is the second article in the series. In the first article, I used MySQL's built-in SSL support for stress testing, which produced some surprising results. Of course, it is expected that the throughput performance of queries using SSL is lower than that of queries without SSL, But I am surprised that the main performance bottleneck is the time spent establishing connections. This result naturally leads to further research. In particular, I want to make one-time comparison between MySQL's bui
-xx:maxpermsize=20m-xx:+useg1gc-jar Java2demo.jar 501 14073 14045 0 9:48PM ttys002 0:00. 00grepjava2demo.jar
As I know from above, my Java app process ID is 9582. You can now run the jstat command, as shown below:
1 2 3 4 5 6 7 8 9
[emailprotected]:~$ jstat-gc 9582 s0c s1c s0u s1u EC EU OC OU PC PU ygc ygct FGC fgct GCT 1024.0 1024.0 0.0 0.0 8192.0 7933.3 42108.0 23401.3 20480.0 19990.9 157 0.274 40 1.381 1.654 1024
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