Java - String comparison

Does it give you a bellyache?
Never mind, you can compare them like this-

System.out.println(gg1.compareTo(gg3));

Url encode an HTTP GET Solr request and parse json using gson java library

Make a request to the SOLR webserver and parse the json string to Java classes using the code snippets below.
The JSON to be parsed- The corresponding Java classes- Code snippet to make a web server call and parse using gson-

The Java classes must have the same variable names as the Json's keys. Notice how nested Json elements are handled.

Errors running builder 'Google WebApp Project Validator'

Error:

Problems occurred building the selected resources.
Errors running builder 'Java Builder' on project 'curve_app'.
com/google/gdt/eclipse/suite/preferences/GdtPreferences
Errors running builder 'Google WebApp Project Validator' on project 'curve_app'.
java.lang.NullPointerException

Workaround solution:

Close all projects, close eclipse.

Start eclipse using, "eclipse -clean" option.

You can try repeating the process 2-3 times,  if it does not work first time.

Not sure of the exact reason why this appears.

Highcharts Phantomjs Export - TypeError: 'undefined' is not an object

Generating a png file from config-

phantomjs-1.8.1/bin/phantomjs highcharts-convert.js -infile config.json  -outfile out1.png -width 300 -scale 2.5 -constr Chart -callback callback.js

Error-

Things to check-
1. The following 3 files should be there in same folder or you have to set the paths to these here-
var config = {
                /* define locations of mandatory javascript files */
                HIGHCHARTS: 'highstock.js',
                HIGHCHARTS_MORE: 'highcharts-more',
                JQUERY: 'jquery-1.8.2.min.js'
        },

2. The 'infile' parameter should have an extension of .json, because that is what it uses to decide between svg input and a configuration json.

GWT - Highchart export request - Read multipart/form-data parameters

Getting multipart-form-data request parameters in java servlet-

Hadoop - OutOfMemoryError: Java heap space

I was writing a hadoop job which processes many files and creates multiple files from each file. I was using "MultipleOutputs" to write them. It worked fine for a small number of files but I was getting the following error for large number of files. I tried increasing the ulimit and -Xmx but to no avail.

2013-01-15 13:44:05,154 FATAL org.apache.hadoop.mapred.Child: Error running child : java.lang.OutOfMemoryError: Java heap space
    at org.apache.hadoop.hdfs.DFSOutputStream$Packet.(DFSOutputStream.java:201)
    at org.apache.hadoop.hdfs.DFSOutputStream.writeChunk(DFSOutputStream.java:1423)
    at org.apache.hadoop.fs.FSOutputSummer.writeChecksumChunk(FSOutputSummer.java:161)
    at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:136)
    at org.apache.hadoop.fs.FSOutputSummer.flushBuffer(FSOutputSummer.java:125)
    at org.apache.hadoop.fs.FSOutputSummer.write1(FSOutputSummer.java:116)
    at org.apache.hadoop.fs.FSOutputSummer.write(FSOutputSummer.java:90)
    at org.apache.hadoop.fs.FSDataOutputStream$PositionCache.write(FSDataOutputStream.java:54)
    at java.io.DataOutputStream.write(DataOutputStream.java:90)
    at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat$LineRecordWriter. writeObject( TextOutputFormat.java:78)
    at org.apache.hadoop.mapreduce.lib.output.TextOutputFormat$LineRecordWriter. write(TextOutputFormat.java:99)
    **at org.apache.hadoop.mapreduce.lib.output.MultipleOutputs.write( MultipleOutputs.java:386)
    at com.demoapp.collector.MPReducer.reduce(MPReducer.java:298)
    at com.demoapp.collector.MPReducer.reduce(MPReducer.java:28)**
    at org.apache.hadoop.mapreduce.Reducer.run(Reducer.java:164)
    at org.apache.hadoop.mapred.ReduceTask.runNewReducer(ReduceTask.java:595)
    at org.apache.hadoop.mapred.ReduceTask.run(ReduceTask.java:433)
    at org.apache.hadoop.mapred.Child$4.run(Child.java:268)
    at java.security.AccessController.doPrivileged(Native Method)
    at javax.security.auth.Subject.doAs(Subject.java:396)
    at org.apache.hadoop.security.UserGroupInformation.doAs(UserGroupInformation.java:1332)
    at org.apache.hadoop.mapred.Child.main(Child.java:262)

Solution:
I used the following configuration values to resolve it-
OPTS="-Dmapred.reduce.tasks=8 -Dio.sort.mb=640 -Dmapred.task.timeout=1200000"
hadoop jar ${JAR} ${OPTS} -src ${SRC} -dest ${DST}

iOS 6 - Apple maps needs to find a shorter route to the correct destination

We all have heard a lot about Apple Maps lately. The verdict is already out. A forgettable job by Apple. The last full update(Iphone 4) had the dropped signal issue and now it is the maps. I usually don't like to get involved in the Apple/Android war but this was one incident, I couldn't resist writing about.
Yes, I have an iPhone. It is an iPhone 4 and I recently updated to iOS 6. I am on AT&T and want to move to T-mobile. I am eligible for an upgrade but I will skip the upgrade this time for reasons I would like to keep out of this blog entry. So on a Sunday morning, when I am finished buying groceries at the nearby Lucky's, the first thing I do is search for a T-mobile store on my new Apple maps and this is what it shows-

So I start driving and I find another Lucky's supermarket at my destination and no T-mobile store anywhere close. That was such a shame.

So tried to search for the same route from Google maps and this is what I get-

Interestingly, the place is in an opposite direction all together.
Then I tried to move the destination pin to the location where Apple maps was locating the T-mobile store and this is what I get-

So it looks like there is not a problem with locating the address alone, but also the route taken. Google maps takes me via a simpler route- a U turn and a right turn but Apple maps goes through a series of twists and turns, getting on the highway, changing lanes etc. The route by Google maps is also shorter 3.2 miles (to the wrong destination of course)

I am not an expert, but I guess Apple needs to map the correct co-ordinates to the expected destination and also debug those algorithms for shortest route possible. It will be a while before I trust Apple maps. Meanwhile, I will use my secondary phone, Nokia N8 for my navigation needs.

On a side note, Nokia 920 does sound appealing to me.