Hive tutorial provides basic and advanced Hive concepts. Let’s start Bigdata Analytics MCQ with Answer. What is the default HDFS replication factor? These top questions and quiz is for quick browsing before the interview or to act as a detailed guide on different topics in Hive interviewers look for. What are the types of database does Hive support ? ODBC Driver-This supports the ODBC protocol, JDBC Driver- This supports the JDBC protocol. Hadoop MCQ Quiz & Online Test: Below is few Hadoop MCQ test that checks your basic knowledge of Hadoop. 18. ObjectInspector tells the structure of the object and also the ways to access the internal fields inside the object. c) MapReduce alternative in Hadoop. Which of the following are NOT true for Hadoop? 9. What is Hive used as? d) Fast MapReduce layer in Hadoop. In general, aspirants need to the follow some basic instructions before attending the exam. Hadoop HDFS MCQs : This section focuses on "HDFS" in Hadoop. B. Free Hive Quiz. Explain about the different types of partitioning in Hive? 4. 67. Hive uses SerDe to read and write data from tables. SMB join can best be utilized when the tables are huge. 1. 16) Mention what is (HS2) HiveServer2? Explode in Hive is used to convert complex data types into desired table formats. It is a relational database storing the metadata of hive tables, partitions, Hive databases etc. B. Binary data cannot be used by Hadoop fremework. d) 2 . 46. Servers running SQL databases similar to Hadoop or Hive. C. Report the Schedules when the jobs are going to run. 6. In Hive the analysis of the inner structure of the segments, columns, and complex items are finished utilizing Object Inspector functionality. To convert complex data types into desired table formats, Hive use explode. Execute Engine- Execution engine is responsible for submitting each of these stages to the relevant components by managing the dependencies between the various stages in the execution plan generated by the compiler. The main aim of both Partitioning and Bucketing is execute the query more efficiently. Is it possible to add 100 nodes when we already have 100 nodes in Hive? But if both the tables have the same number of buckets or same multiples of buckets and also sorted on the same column there is a possibility of SMBMJ in which all the joins take place in the map phase itself by matching the corresponding buckets. Dynamic partitions are usually helpful during ETL flows in the data pipeline. There are various ways to run Hive queries faster -. CLUSTER BY- It is a combination of DISTRIBUTE BY and SORT BY where each of the N reducers gets non overlapping range of data which is then sorted by those ranges at the respective reducers. Why? ODBC driver: ODBC accomplishes DBMS independence by using an ODBC driver as a translation layer between the application and the DBMS. 1) Explain about the SMB Join in Hive. All students,
Hive is a data warehouse solution to be used on top of Hadoop. What is the functionality of Query Processor in Apache Hive? Regex stands for a regular expression. Hive uses ObjectInspector to analyze the internal structure of the rows, columns and complex objects . How will you optimize Hive performance? 44. Can you list few commonly used Hive services? Explain the different types of join in Hive. 16. What is the significance of ‘IF EXISTS” clause while dropping a table? Hadoop Developers consider an array as their input and convert it into a separate table row. 45. For example, bucketing can give programmers more flexibility when it comes to record-keeping and can make it easier to debug large datasets when needed. The partition column value can be obtained from the file name without having to read the complete file. As a result, Hive is closely integrated with Hadoop, and is designed to work quickly on petabytes of data. Hive gives an SQL-like interface to query data stored in various databases and file systems that integrate with Hadoop. Buckets in hive is used in segregating of hive table-data into multiple files or directories. However, Hive is most suitable for data warehouse applications because it: Analyzes relatively static data. It also provides a uniform way to access complex objects that can be stored in multiple formats in the memory. 7. 51. And, the hive is a data warehouse infrastructure tool to process the structured data in Hadoop. The disadvantage of compressing files in HDFS is, 11. After Hive tables are created, you can use IBM Big SQL in InfoSphere BigInsights to read the data in the tables. 1) Explain about the SMB Join in Hive. ObjectInspector functionality in Hive is used to analyze the internal structure of the columns, rows, and complex objects. How data transfer happens from HDFS to Hive? Is Hive suitable to be used for OLTP systems? Why does Hive not store metadata information in HDFS? Can a partition be archived? The below expression in the where clause RLIKE '.*(Chicago|Ontario). Learn end-to-end Hadoop concepts through the Hadoop Course in Hyderabad to take your career to a whole new level! Additionally gives us ways to access the internal fields inside the object. If any situation, data lost, both actual data and meta store will be lost. 10. This can be achieved by setting the MapReduce jobs to execute in strict mode set hive.mapred.mode=strict; The strict mode ensures that the queries on partitioned tables cannot execute without defining a WHERE clause. (D ) a) Hadoop query engine. What is the functionality of Query Processor in Apache Hive? What are the three different modes in which hive can be run? JDBC driver: A JDBC driver is a software component enabling a Java application to interact with a database. Then it connects with Record reader to read/write record. Here deserialized custom serde use object inspector to deserialize the data in fields. Whenever we run a Hive query, a new metastore_db is created. B - only external tables. What are the advantages and disadvantages? 49. Hence, the postulates need to verify all the questions provided in the below Hive Mock Test and practice all of them. 24. How does partitioning help in the faster execution of queries? What are the different Modes in the Hive? (A) Hive is not a relational database, but a query engine that supports the parts of SQL specific to querying data. In ______ mode HiveServer2 only accepts valid Thrift calls. Hive has a feature of Bucketing which is not there in RDBMS. Explain the requirement of MapReduce while we program in Apache Pig. Is it possible to add 100 nodes when we already have 100 nodes in Hive? The property set to run hive in local mode as true so that it runs without creating a mapreduce job is, A user creates a UDF which accepts arguments of different data types, each time it is run. c)
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