![]() ![]() SLF4J: Actual binding is of type Įxception in thread “main” : Unrecognized Hadoop major version number: 1.0.4Īt .(ShimLoader.java:169)Īt .(ShimLoader.java:136)Īt .(ShimLoader.java:95)Īt .HiveSchemaTool.(HiveSchemaTool.java:81)Īt .HiveSchemaTool.(HiveSchemaTool.java:68)Īt .HiveSchemaTool.main(HiveSchemaTool.java:480)Īt 0(Native Method)Īt (NativeMethodAccessorImpl.java:62)Īt (DelegatingMethodAccessorImpl.java:43)Īt .invoke(Method.java:498)Īt .RunJar.main(RunJar.java:156) SLF4J: Class path contains multiple SLF4J bindings. Kindly help me advise on this, why the err is throwing as “Unrecognized Hadoop major version number: bin/schematool -initSchema -dbType derby Hence, our next blog “ Top Hive Commands with Examples in HQL” will help you to master Hive commands. Now that you are done with Hive installation, the next step forward is to try out Hive commands on Hive shell. Initialize Derby database.Ĭommand: bin/schematool -initSchema -dbType derbyĬommand: create table employee (id string, name string, dept string) row format delimited fields terminated by ‘ ‘ stored as textfile Step 9: By default, Hive uses Derby database. Learn more about Big Data and its applications from the Data Engineering Course in London. Used by metastore client to connect to remote metastore. Location of default database for the warehouse To use SSL to encrypt/authenticate the connection, provide database-specific SSL flag in the connection URL.įor example, jdbc:postgresql://myhost/db?ssl=true for postgres database. JDBC connect string for a JDBC metastore. Jdbc:derby: databaseName=/home/edureka/apache-hive-2.1.0-bin/metastore_db create=true Set the parameters as shown in the below snapshot. hdfs dfs -chmod g+w /user/hive/warehouse.In this command, we are giving write permission to the group: Step 6: Set read/write permissions for table. hdfs dfs -mkdir -p /user/hive/warehouse.Step 5:Create Hive directories within HDFS. The directory ‘warehouse’ is the location to store the table or data related to hive. Run below command to make the changes work in same terminal. ![]() Step 3: Edit the “.bashrc” file to update the environment variables for user.Īdd the following at the end of the file:Įxport HIVE_HOME=/home/edureka/apache-hive-2.1.0-binĮxport PATH=$PATH:/home/edureka/apache-hive-2.1.0-bin/binĪlso, make sure that hadoop path is also set. Please follow the below steps to install Apache Hive on Ubuntu:Ĭommand: tar -xzf apache-hive-2.1. Learn more about Big Data and its applications from the Data Engineer certification. Itmeans that Hive would not be appropriate for those applications that need very fast response times, as you can expect with a traditional RDBMS database.įinally, Hive is read-based and therefore not appropriate for transaction processing that typically involves a high percentage of write operations. However, because Hive is based on Hadoop and MapReduce operations, there are several key differences:Īs Hadoop is intended for long sequential scans and Hive is based on Hadoop, you would expect queries to have a very high latency. Hive looks very much similar like traditional database with SQL access. Internally, a compiler translates HiveQL statements into MapReduce jobs, which are then submitted to Hadoop framework for execution. Hive provides a way to query the data using a SQL-like query language called HiveQL(Hive query Language). ![]() It is built on top of Hadoop and developed by Facebook. What is Apache Hive?Īpache Hive is a data warehouse infrastructure that facilitates querying and managing large data sets which resides in distributed storage system. In this blog, we will learn about Apache Hive and Hive installation on Ubuntu. Apache Hive is one of the most important frameworks in the Hadoop ecosystem, in-turn making it very crucial for Hadoop Certification. ![]()
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