I have Json file that has following format:
我有Json文件,格式如下:
"Properties2":[{"K":"A","T":"String","V":"M "}, {"K":"B","T":"String","V":"N"}, {"K":"D","T":"String","V":"O"}]
"Properties2":[{"K":"A","T":"String","V":"W”"},{"K":"B","T":"String","V":"X"},{"K":"C","T":"String","V":"Y"},{"K":"D","T":"String","V":"Z"}]
I want to extract data in table format from above mentioned json format by using pig:
我想用pig从上面提到的json格式中提取表格格式的数据:
Expected Format:
预期的格式:
Note: - In first record C column should be blank or null because in first record there is no value for C column.
注意:-在第一个记录中,C列应该为空或null,因为在第一个记录中,C列没有值。
I tried with jsonloader and eliphantbird jar but didn’t get expected output please suggest me any proper approach to get expected output.
我尝试了jsonloader和eliimagbird jar,但是没有得到预期的输出,请建议我使用适当的方法来获得预期的输出。
1 个解决方案
#1
1
Can you try this Custom UDF?
你能试试这种自定义UDF吗?
Sample input1:
input.json
示例input1:input.json
{"Properties2":[{"K":"A","T":"String","V":"M "}, {"K":"B","T":"String","V":"N"}, {"K":"D","T":"String","V":"O"}]}
{"Properties2":[{"K":"A","T":"String","V":"W"},{"K":"B","T":"String","V":"X"},{"K":"C","T":"String","V":"Y"},{"K":"D","T":"String","V":"Z"}]}
PigScript:
PigScript:
REGISTER jsonparse.jar
A= LOAD 'input.json' Using JsonLoader('Properties2:{(K:chararray,T:chararray,V:chararray)}');
B= FOREACH A GENERATE FLATTEN(STRSPLIT(mypackage.JSONPARSE(BagToString(Properties2)),'_',4));
STORE B INTO 'output' USING PigStorage();
Output:
输出:
M N O
W X Y Z
Sample input2:
示例input2:
{"Properties2":[{"K":"A","T":"String","V":"W"},{"K":"B","T":"String","V":"X"},{"K":"C","T":"String","V":"Y"},{"K":"D","T":"String","V":"Z"}]}
{"Properties2":[{"K":"A","T":"String","V":"M"},{"K":"B","T":"String","V":"N"},{"K":"D","T":"String","V":"O"}]}
{"Properties2":[{"K":"A","T":"String","V":"J"}]}
{"Properties2":[{"K":"B","T":"String","V":"X"}]}
{"Properties2":[{"K":"C","T":"String","V":"Y"}]}
{"Properties2":[{"K":"D","T":"String","V":"Z"}]}
Output2:
Output2:
W X Y Z
M N O
J
X
Y
Z
UDF code: The below java file is compiled and generated as jsonparse.jar
(This is just a temporary java code, you can optimize or modified according to your need)
UDF代码:下面的java文件被编译并生成为jsonparse。jar(这只是一个临时java代码,您可以根据需要进行优化或修改)
JSONPARSE.java
JSONPARSE.java
package mypackage;
import java.io.IOException;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.Tuple;
import java.util.LinkedHashMap;
import org.apache.commons.lang.StringUtils;
public class JSONPARSE extends EvalFunc<String> {
@Override
public String exec(Tuple arg0) throws IOException {
try
{
//Get the input
String input = ((String) arg0.get(0));
//Parse the input "_" as the delimiter
String[] parts = input.split("_");
//Init the hash with key as(A,B,C,D) and value as empty string
LinkedHashMap<String,String> mymap= new LinkedHashMap<String,String>();
mymap.put("A", "");
mymap.put("B", "");
mymap.put("C", "");
mymap.put("D", "");
for(int i=0,j=2;i<parts.length;i=i+3,j=j+3)
{
//Find each key from the input and update the respective value
if(mymap.containsKey(parts[i]))
{
mymap.put(parts[i],parts[j]);
}
}
//Final output.
String output="";
for(String key: mymap.keySet())
{
//append each output "_" as delimiter
output=output+(String)mymap.get(key)+"_";
}
//Remove the extra delimiter "_" from the output
return StringUtils.removeEnd(output,"_");
}
catch(Exception e)
{
throw new IOException("Caught exception while processing the input row ", e);
}
}
}
How to compile and build jar file:
如何编译和构建jar文件:
1.Download 2 jar files from the below link(apache-commons-lang.jar,piggybank.jar)
http://www.java2s.com/Code/Jar/a/Downloadapachecommonslangjar.htm
http://www.java2s.com/Code/Jar/p/Downloadpiggybankjar.htm
2. Set the above 2 jar files to your class path
>> export CLASSPATH=/tmp/piggybank.jar:/tmp/apache-commons-lang.jar
3. Create directory name mypackage
>>mkdir mypackage
4. Compile your JSONPARSE.java file (make sure the two jars are included in the classpath otherwise compilation issue will come)
>>javac JSONPARSE.java
5. Move the class file to mypackage folder
>>mv JSONPARSE.class mypackage/
6. Create jar file name jsonparse.jar
>>jar -cvf jsonparse.jar mypackage/
7. (jsonparse.jar) file will be created, include into your pig script using REGISTER command.
Example from command line:
从命令行示例:
$ ls
JSONPARSE.java input.json
$ javac JSONPARSE.java
$ mkdir mypackage
$ mv JSONPARSE.class mypackage/
$ jar -cvf jsonparse.jar mypackage/
$ ls
JSONPARSE.java input.json jsonparse.jar mypackage
#1
1
Can you try this Custom UDF?
你能试试这种自定义UDF吗?
Sample input1:
input.json
示例input1:input.json
{"Properties2":[{"K":"A","T":"String","V":"M "}, {"K":"B","T":"String","V":"N"}, {"K":"D","T":"String","V":"O"}]}
{"Properties2":[{"K":"A","T":"String","V":"W"},{"K":"B","T":"String","V":"X"},{"K":"C","T":"String","V":"Y"},{"K":"D","T":"String","V":"Z"}]}
PigScript:
PigScript:
REGISTER jsonparse.jar
A= LOAD 'input.json' Using JsonLoader('Properties2:{(K:chararray,T:chararray,V:chararray)}');
B= FOREACH A GENERATE FLATTEN(STRSPLIT(mypackage.JSONPARSE(BagToString(Properties2)),'_',4));
STORE B INTO 'output' USING PigStorage();
Output:
输出:
M N O
W X Y Z
Sample input2:
示例input2:
{"Properties2":[{"K":"A","T":"String","V":"W"},{"K":"B","T":"String","V":"X"},{"K":"C","T":"String","V":"Y"},{"K":"D","T":"String","V":"Z"}]}
{"Properties2":[{"K":"A","T":"String","V":"M"},{"K":"B","T":"String","V":"N"},{"K":"D","T":"String","V":"O"}]}
{"Properties2":[{"K":"A","T":"String","V":"J"}]}
{"Properties2":[{"K":"B","T":"String","V":"X"}]}
{"Properties2":[{"K":"C","T":"String","V":"Y"}]}
{"Properties2":[{"K":"D","T":"String","V":"Z"}]}
Output2:
Output2:
W X Y Z
M N O
J
X
Y
Z
UDF code: The below java file is compiled and generated as jsonparse.jar
(This is just a temporary java code, you can optimize or modified according to your need)
UDF代码:下面的java文件被编译并生成为jsonparse。jar(这只是一个临时java代码,您可以根据需要进行优化或修改)
JSONPARSE.java
JSONPARSE.java
package mypackage;
import java.io.IOException;
import org.apache.pig.EvalFunc;
import org.apache.pig.data.Tuple;
import java.util.LinkedHashMap;
import org.apache.commons.lang.StringUtils;
public class JSONPARSE extends EvalFunc<String> {
@Override
public String exec(Tuple arg0) throws IOException {
try
{
//Get the input
String input = ((String) arg0.get(0));
//Parse the input "_" as the delimiter
String[] parts = input.split("_");
//Init the hash with key as(A,B,C,D) and value as empty string
LinkedHashMap<String,String> mymap= new LinkedHashMap<String,String>();
mymap.put("A", "");
mymap.put("B", "");
mymap.put("C", "");
mymap.put("D", "");
for(int i=0,j=2;i<parts.length;i=i+3,j=j+3)
{
//Find each key from the input and update the respective value
if(mymap.containsKey(parts[i]))
{
mymap.put(parts[i],parts[j]);
}
}
//Final output.
String output="";
for(String key: mymap.keySet())
{
//append each output "_" as delimiter
output=output+(String)mymap.get(key)+"_";
}
//Remove the extra delimiter "_" from the output
return StringUtils.removeEnd(output,"_");
}
catch(Exception e)
{
throw new IOException("Caught exception while processing the input row ", e);
}
}
}
How to compile and build jar file:
如何编译和构建jar文件:
1.Download 2 jar files from the below link(apache-commons-lang.jar,piggybank.jar)
http://www.java2s.com/Code/Jar/a/Downloadapachecommonslangjar.htm
http://www.java2s.com/Code/Jar/p/Downloadpiggybankjar.htm
2. Set the above 2 jar files to your class path
>> export CLASSPATH=/tmp/piggybank.jar:/tmp/apache-commons-lang.jar
3. Create directory name mypackage
>>mkdir mypackage
4. Compile your JSONPARSE.java file (make sure the two jars are included in the classpath otherwise compilation issue will come)
>>javac JSONPARSE.java
5. Move the class file to mypackage folder
>>mv JSONPARSE.class mypackage/
6. Create jar file name jsonparse.jar
>>jar -cvf jsonparse.jar mypackage/
7. (jsonparse.jar) file will be created, include into your pig script using REGISTER command.
Example from command line:
从命令行示例:
$ ls
JSONPARSE.java input.json
$ javac JSONPARSE.java
$ mkdir mypackage
$ mv JSONPARSE.class mypackage/
$ jar -cvf jsonparse.jar mypackage/
$ ls
JSONPARSE.java input.json jsonparse.jar mypackage