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NEW QUESTION: 1
You are working on a database that must be functioning 24 hours a day, 7 days a week. The database is configured in ARCHIVELOGmode.
Which two options do you have for performing user-managed backups? (Choose two.)
A. You can back up data files only when all data files have the same SCN recorded in the control file.
B. You can back up only those data files whose headers are frozen by using ALTERTABLESPACE BEGIN BACKUP or ALTER DATABASE BEGIN BACKUPcommands.
C. You can perform a complete database backup without shutting down the database instance.
D. You can perform consistent backups only.
Answer: B,C
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
If a company estimates that its expected return on pension plan assets will increase to 9.5% from 9.0% this would be considered ________.
A. an extraordinary gain.
B. a prior period adjustment.
C. a change in accounting estimate.
Answer: C
Explanation:
Such a change is a change in accounting estimate and disclosure is required of the effect on both net income and income before extraordinary items for the current period.
NEW QUESTION: 3
To process input key-value pairs, your mapper needs to lead a 512 MB data file in memory. What is the best way to accomplish this?
A. Place the data file in the DataCache and read the data into memory in the configure method of the mapper.
B. Place the data file in the DistributedCache and read the data into memory in the configure method of the mapper.
C. Place the data file in the DistributedCache and read the data into memory in the map method of the mapper.
D. Serialize the data file, insert in it the JobConf object, and read the data into memory in the configure method of the mapper.
Answer: C
Explanation:
Explanation/Reference:
Hadoop has a distributed cache mechanism to make available file locally that may be needed by Map/ Reduce jobs Use Case
Lets understand our Use Case a bit more in details so that we can follow-up the code snippets.
We have a Key-Value file that we need to use in our Map jobs. For simplicity, lets say we need to replace all keywords that we encounter during parsing, with some other value.
So what we need is
A key-values files (Lets use a Properties files)
The Mapper code that uses the code
Write the Mapper code that uses it
view sourceprint?
01.
public class DistributedCacheMapper extends Mapper<LongWritable, Text, Text, Text> {
02.
03.
Properties cache;
04.
05.
@ Override
06.
protected void setup(Context context) throws IOException, InterruptedException {
07.
super.setup(context);
08.
Path[] localCacheFiles = DistributedCache.getLocalCacheFiles(context.getConfiguration());
09.
10.
if(localCacheFiles != null) {
11.
// expecting only single file here
12.
for (int i = 0; i < localCacheFiles.length; i++) {
13.
Path localCacheFile = localCacheFiles[i];
14.
cache = new Properties();
15.
cache.load(new FileReader(localCacheFile.toString()));
16.
}
17.
} else {
18.
// do your error handling here
19.
}
20.
21.
}
22.
23.
@Override
24.
public void map(LongWritable key, Text value, Context context) throws IOException, InterruptedException
{
25.
// use the cache here
26.
// if value contains some attribute, cache.get(<value>)
27.
// do some action or replace with something else
28.
}
29.
30.
}
Note:
* Distribute application-specific large, read-only files efficiently.
DistributedCache is a facility provided by the Map-Reduce framework to cache files (text, archives, jars etc.) needed by applications.
Applications specify the files, via urls (hdfs:// or http://) to be cached via the JobConf. The DistributedCache assumes that the files specified via hdfs:// urls are already present on the FileSystem at the path specified by the url.
Reference: Using Hadoop Distributed Cache