Consider a file with size of 1 GB and block size in Hadoop is 128 MB.(10)What will be the default size of input split in terms of number ofblocks and default number of mappers? If you want 100 mappersin your system, what should be the size of each input split (inMB)?
Question
Consider a file with size of 1 GB and block size in Hadoop is 128 MB.(10)What will be the default size of input split in terms of number ofblocks and default number of mappers? If you want 100 mappersin your system, what should be the size of each input split (inMB)?
Solution
To determine the default size of an input split in terms of the number of blocks, we need to divide the total file size by the block size.
Given that the file size is 1 GB and the block size is 128 MB, we can calculate the number of blocks as follows:
1 GB = 1024 MB Number of blocks = 1024 MB / 128 MB = 8 blocks
Therefore, the default size of an input split in terms of the number of blocks is 8 blocks.
To calculate the default number of mappers, we can use the formula: Number of mappers = total file size / block size
In this case, the total file size is 1 GB and the block size is 128 MB:
Number of mappers = 1 GB / 128 MB = 8 mappers
Hence, the default number of mappers is 8.
If you want to have 100 mappers in your system, you need to adjust the size of each input split accordingly. To calculate the size of each input split in MB, we can use the formula:
Size of each input split = total file size / number of mappers
In this case, the total file size is 1 GB and the desired number of mappers is 100:
Size of each input split = 1 GB / 100 = 10 MB
Therefore, the size of each input split should be 10 MB.
Similar Questions
To store a file of 380 MB on HDFS, how many blocks will be required in Hadoop 1.x and Hadoop 2.x
What is the default block size in HDFS?Question 21Answera.256 MBb. 512 MBc. 64 MBd.128 MB
A typical block size used by HDFS is ______*1 point64 MB32 MB68 MB8 MB
Consider the execution of a MapReduce algorithm on a cluster with 10machines, each equipped with a RAM of 8 GB and a disk of 128 GB. Before and afterthe Map and Reduce Phases of each round, data are stored into a HDFS built on theunion of the disks. Let ML and MA be the algorithm’s local and aggregate space.What are the maximum values (in GB) for ML and MA which ensure a successfulexecution of the algorithm?
1.Question 1Which is a processing unit of Hadoop and an important core component of the Hadoop framework?1 pointMapReduceHadoop CommonYet Another Resource Negotiator (YARN)Hadoop Distributed File System (HDFS)2.Question 2Which of the following components are included in Hadoop? Select all that apply.1 pointMapReduceYet Another Resource Negotiator (YARN)Hadoop Distributed File System (HDFS)Apache Cassandra3.Question 3What is the default block size in Hadoop?1 point200 megabytes132 megabytes126 megabytes128 megabytes4.Question 4Which statement is true regarding the comparison between traditional RDBMS and Apache Hive?1 pointTraditional RDBMS always have built-in support for data partitioning, whereas Hive does not support partitioning. Traditional RDBMS is based on the write once, read many methodologies. Hive allows for as many read operations and write operations as a user needs.Traditional RDBMS is used to maintain a data warehouse. Hive is used to maintain a database and uses the structured query language known as SQL. Traditional RDBMS can handle up to terabytes of data. Hive is designed to handle petabytes of data.5.Question 5Which component of HBase is a centralized service for maintaining configuration information to maintain healthy links between nodes?1 pointRegion ServersRegionZooKeeperHMaster6.Question 6Which of the following statements is true with reference to Hive?1 pointJDBC clients allows Java applications based on ODBC to connect to Hive.ODBC client allows applications based on JDBC clients to connect to Hive.JDBC clients allow application based on ODBC to connect to Hive.ODBC clients allow Java applications to connect to Hive.7.Question 7Which of the following is a feature of Hadoop Distributed File System (HDFS)?1 pointOne cluster can be scaled into hundreds of nodesNeeds permissions to move across multiple platformsIf one machine crashes, the data needs to be rebuilt againCan store up to megabytes of data8.Question 8What is Yet Another Resource Navigator (YARN)?1 pointData processing frameworkStorage layer in HadoopData migration toolResource Manager
Upgrade your grade with Knowee
Get personalized homework help. Review tough concepts in more detail, or go deeper into your topic by exploring other relevant questions.