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NEW QUESTION: 1
Sie haben eine Datenbank, die eine Tabelle mit dem Namen Customer enthält. Die Kundentabelle enthält eine Spalte mit dem Namen Nachname, die die Spaltendefinition varchar (50) enthält.
Eine Anwendung mit dem Namen App1 liest häufig aus der Tabelle.
Sie müssen die Spaltendefinition in nvarchar (100) ändern. Die Lösung muss die Zeit minimieren, die App1 zum Lesen der Daten benötigt.
Welche Anweisung solltest du ausführen?
A. Option B
B. Option D
C. Option C
D. Option A
Answer: C
Explanation:
Erläuterung
Verwenden Sie die folgende Syntax, um den Datentyp einer Spalte in einer SQL Server- (oder Microsoft Access-) Tabelle zu ändern:
ALTER TABLE Tabellenname
ALTER COLUMN Spaltenname Datentyp
Referenzen: https://www.w3schools.com/SQl/sql_alter.asp
NEW QUESTION: 2
Your customer is running a mission-critical application with Oracle 10g on a pair of HP Integrity 7640 servers. It is being run in a Serviceguard cluster to provide disaster recovery, and needs to be able to support a doubling in capacity, Your Presales team has developed four potential options that will all deliver the required performance and meet the customer's budget.
Which of these options should you offer?
A. A four-node cluster of DL 580 servers running Oracle RAC
B. A pair of HP DL980 servers running Oracle on a Linux cluster
C. A Superdome server running Oracle on HP-UX
D. A pair of HP BL890 servers running Oracle on HP-UX with Service guard
Answer: A
NEW QUESTION: 3
You want to populate an associative array in order to perform a map-side join. You've decided to put this information in a text file, place that file into the DistributedCache and read it in your Mapper before any records are processed.
Indentify which method in the Mapper you should use to implement code for reading the file and populating the associative array?
A. init
B. map
C. configure
D. combine
Answer: C
Explanation:
See 3) below.
Here is an illustrative example on how to use the DistributedCache: // Setting up the cache for the application
1.Copy the requisite files to the FileSystem:
$ bin/hadoop fs -copyFromLocal lookup.dat /myapp/lookup.dat $ bin/hadoop fs -copyFromLocal map.zip /myapp/map.zip $ bin/hadoop fs -copyFromLocal mylib.jar /myapp/mylib.jar $ bin/hadoop fs -copyFromLocal mytar.tar /myapp/mytar.tar $ bin/hadoop fs -copyFromLocal mytgz.tgz /myapp/mytgz.tgz $ bin/hadoop fs -copyFromLocal mytargz.tar.gz /myapp/mytargz.tar.gz
2.Setup the application's JobConf:
JobConf job = new JobConf();
DistributedCache.addCacheFile(new URI("/myapp/lookup.dat#lookup.dat"),
job);
DistributedCache.addCacheArchive(new URI("/myapp/map.zip", job);
DistributedCache.addFileToClassPath(new Path("/myapp/mylib.jar"), job);
DistributedCache.addCacheArchive(new URI("/myapp/mytar.tar", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytgz.tgz", job);
DistributedCache.addCacheArchive(new URI("/myapp/mytargz.tar.gz", job);
3.Use the cached files in the Mapper or Reducer:
public static class MapClass extends MapReduceBase implements Mapper<K, V, K, V> {
private Path[] localArchives; private Path[] localFiles;
public void configure(JobConf job) { // Get the cached archives/files
localArchives = DistributedCache.getLocalCacheArchives(job);
localFiles = DistributedCache.getLocalCacheFiles(job);
}
public void map(K key, V value,
OutputCollector<K, V> output, Reporter reporter)
throws IOException {
// Use data from the cached archives/files here
// ...
// ...
output.collect(k, v);
}
}
Reference: org.apache.hadoop.filecache , Class DistributedCache