Python Hive Jdbc Connection

Before you can use the Teradata Connector for Hadoop with Sqoop, you must install the connector from their website. Recently I have received few queries regarding the query which we are passing to "load" function when using JDBC connection to connect to any RDBMS. 0 version of the driver, find either the mssql-jdbc-7. connect(HiveDriver. You can test the JDBC server with the beeline script that comes with either Spark or Hive 1. The reason is that Hive is an analytical database that is purely optimized for batch aggregations and scans. How could I connect from Python, located on the application server, to Hive, on master cluster by JDBC/Hiveserver2. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. You may alternatively choose to connect to Hive through JDBC in embedded mode using the URI jdbc:hive://. dbapi import connect conn = connect. While I was digging through my. # Hive-specific configuration options. The database in Hive describes a collection of tables that are used for a similar purpose or belong to the same groups. Indexes are useful for faster access to rows in a table. Connect using SSL. Click save changes and deploy the client configuration. I this post, I describe how to Create a Hive Database, Create Database using JDBC, Describe and Show hive Database. We will use below sample data which contains the basic details of an employee like employee number, employee name, designation, manager, hire date, salary and department. jar and add it to the class path of your Java application. Also, JDBC is a Java API. About this task When the Teradata Connector is installed on the BigInsights cluster, you can use Sqoop commands to import data between a Teradata database and the distributed file system or Hive table. The locator passes the information of all available servers, based on which the driver automatically connects to one of the servers. kubernetes. The Add PYTHON to Configuration page opens, as shown in the following image. Put the Drill JDBC jar file on the classpath. Most databases ship with ODBC drivers, so chances are high that you can use one of these drivers together with a Python ODBC interface to connect your Python application with any database on the market. The support includes such features as enhanced code completion and better retrieval of database objects (introspection). jar; Once we fetch from Tera Data, we can insert the data into Hive Table using Overwrite Mode so that, even the insert fails when we run it will automatically reload the table. Run a Python program to access Hadoop webhdfs and Hive with Kerberos enabled Streamsets install Oracle JDBC driver in External Library for CDH Enable Linux subsystem on Windows Recent posts. transport import TTransport from thrift. read_sql function to return data in pandas dataframe. Import SSL Cert to Java: Follow this tutorial to “Installing unlimited strength encryption Java libraries” If on Windows do the following. Steps to connect has been mentioned on JayDeBeApi link: I am pasting sample code snippet below. In this blog, we built an ETL pipeline with Kafka Connect combining the JDBC and HDFS connectors. Python连接Hive的方式有多种,这里使用JayDeBeApi通过JDBC的方式连接Hive。作为大自然的搬运工,先贴一下引用链接表示尊重http. what is your approach as hadoop admin Sep 21. The database user's password. The Hive ODBC Driver is a software library that implements the Open Database Connectivity (ODBC) API standard for the Hive database management system, enabling ODBC compliant applications to interact seamlessly (ideally) with Hive through a standard interface. In this folder you’ll find the hive-jdbc. I have found the following. AWS Glue is an ETL service from Amazon that allows you to easily prepare and load your data for storage and analytics. According to MySQL 5. The jdbc connection string looks fine as long as hive is running on port 10000. We group drivers by database backend. You can use a JDBC connection to connect Athena to business intelligence tools and other applications, such as SQL Workbench. The actual Hive JDBC implementation for the specific distribution and version of Hadoop is located in the Pentaho Configuration (shim) for that distro. Microsoft® Hive ODBC Driver provides HiveQL access from ODBC based applications to HDInsight Apache Hadoop Hive. We have data in an RDBMS table say MySQL table. If your Spark Data Frame has more than 100 columns, we don’t treat it any different. Some of the operations supported by the Hive Warehouse Connector are:. JDBC Driver Hive provides a Type 4(pure Java) JDBC driver, defined in the class org. In embedded mode, Hive runs in the same JVM as the application invoking it, so there is no need to launch it as a standalone server, since it does not use the Thrift service or the Hive Thrift Client. 4 - Download. ODBC Driver - It allows the applications that support the ODBC protocol to connect to Hive. This blog post was contributed by Kunal Khatua, Apache Drill Committer, who has been working on the project for the last 3 years. The Hive server you connect to must have two Thrift services available: HiveServer2 and. It is an application com connectivity tool that transfers bulk data between the relational database system and Hadoop (Hive, map reduce, Mahout, Pig, HBase). Let us learn running hive queries using Java API. Step3: In this step, We will create an Alias for Connecting with Hive server, You need to configure the Alias settings as shown below. java:14) How to solve this? 31122/error-while-connecting-to-hive-using-java-jdbc Toggle navigation. Hello, I am looking for recommendations to connect to Hive from a python script. While, Java DataBase Connectivity (JDBC) is a standard Oracle interface that enables applications written in Java to connect to DBMSs. His interests are in the areas of distributed systems and databases…. In this blog, we built an ETL pipeline with Kafka Connect combining the JDBC and HDFS connectors. However, there are many more insights we can learn about the HiveQL SELECT statement. Connecting Superset With Database. To connect to a Hadoop cluster using Hive: On the Amp Home page, click Query Hadoop. Add the Superset service; Connect Apache. kubernetes. Jobs currently in progress, will be affected. You may alternatively choose to connect to Hive through JDBC in embedded mode using the URI jdbc:hive://. The Apache Hive Warehouse Connector (HWC) is a library that allows you to work more easily with Apache Spark and Apache Hive by supporting tasks such as moving data between Spark DataFrames and Hive tables, and also directing Spark streaming data into Hive tables. When it is a Kerberized Hadoop cluster, you are trying to open this JDBC connection with a Kerberos authentication for the Hive Service. It is necessary to set a prefix for each connection to reference it in the paragraph in the form of %jdbc(prefix). This driver is available for both 32 and 64 bit Windows platform. This will be used in the python script to connect to hive below. This is what we use in the above example. 10/08/2019; 7 minutes to read; In this article. In Ambari, navigate to Services > Hive > Summary and in Quick Links, click Jdbc Standalone Jar Download. ODBC is one of the most established APIs for connecting to and working with databases. My environment :. In this tutorial I will show you how to connect to remote Kerberos Hive cluster using Java. ODBC is one the most established and widely supported APIs for connecting to and working with databases. Your email address will not be published. This is an interesting one. I also noticed that every Beeline client connection where well using (obviously) the HiveServer2 JDBC URL. This post shows you how to connect to HiveServer2 via Hive JDBC driver in Java. ODBC Driver - It allows the applications that support the ODBC protocol to connect to Hive. The Engine is the starting point for any SQLAlchemy application. To establish JDBC Connection, Download Hive Uber JDBC Jar created by @Tim Veil. Both the Cloudera JDBC 2. The first argument to connect is the name of the Java driver class. connect taken from open source projects. The connection URL passed to the JDBC driver therefore looked like:. This gives you more flexibility in configuring the thrift server and using different properties than defined in the spark-defaults. 5 Connector and the Hive JDBC driver provide a substantial speed increase for JDBC applications with Impala 2. Searching for Best How we can earn money from youtube Freelancers or Jobs. I have set up a connection between Dataiku and Hive using an Apache Hive JDBC driver. We have data in an RDBMS table say MySQL table. You can find the libraries in the folder of your Hive installation in my case under /usr/lib/hive/lib/, but this depends on your installation. The first task when using Data Science Studio is to define datasets to connect to your data sources. Assuming that you already have MySQL installed, the next step is to install the connector driver. Click Test, it should show Success. You can also use the Hive JDBC drivers to connect HiveServer2 from Python using Jaydebeapi. HiveDriver” after “Class Name” label. Locate the JDBC or ODBC driver; Specify the JDBC connection string; JDBC connection string syntax; Visualizing Apache Hive data using Superset. The Add PYTHON to Configuration page opens, as shown in the following image. Does aynyone know how to increase performance for HIVE JDBC connection. key AWS access key ID. JDBC connection string syntax The JDBC connection string for connecting to a remote Hive client requires a host, port, and Hive database name, and can optionally specify a transport type and authentication. In the following article we will demonstrate one simple method to connect and query from Oracle directly to Apache Hive and Cloudera Impala using the ODBC heterogeneous gateway. | up vote 1 down vote You could use python JayDeBeApi package to create DB-API connection from Hive or Impala JDBC driver and then pass the connection to pandas. The Teradata Connector for Hadoop (TDCH) is a map-reduce application that supports high-performance parallel bi-directional data movement between Teradata systems and various Hadoop ecosystem components. JDBC Driver: Hive provides a JDBC driver, defined in the class. We'll make sure we can authenticate and then start running some queries. Note - I tried to go through jshs2 but I am unable to establish the connection with the Hive. This driver is available for both 32 and 64 bit Windows platform. Get the driver. read_sql function to return data in pandas dataframe. User credentials can be set outside of the connection URL—for example, as arguments when getting a connection from the java. Make sure that the connection settings are correct; If you get "connection refused" or similar errors, check that the Hiveserver2 server is properly running and that the Hive settings in DSS allow for authentication over JDBC. For more information, see Create a connection to a database with a JDBC driver. Hi @BmooreHA ,. ConnectionURL # Username to use against metastore database spark. 第十三天-封装JDBC操作Hive工具类-HWI配置与使用-JavaWeb结合Hive第十三天-封装JDBC操作Hive工具类-HWI配置与使用-JavaWeb结合Hive一、HiveSql语句补充二 博文 来自: cry970795248的博客. Click Test, it should show Success. If a tool like beeline is installed on the SAS machine, then it could be used to validate the JDBC connection from the SAS Server as it is very close to what is done by the SAS/ACCESS to HADOOP connection. Apache Hive. Once saved, a connection entry can be selected from the Saved list. Now come to the CM – Hive – configuration – search ‘load balancer’ and provide the haproxy server detail and the port (10000) in which haproxy is listening for Hiveserver2. I have found the following. 0-1 Impala: IMPALA 2. How could I connect from Python, located on the application server, to Hive, on master cluster by JDBC/Hiveserver2. Submit a Hive Warehouse Connector Python app; Hive Warehouse Connector supported types; HiveWarehouseSession API operations; Connecting Apache Hive to BI tools. They do, however, still strongly support ODBC and JDBC interfaces. The locator passes the information of all available servers, based on which the driver automatically connects to one of the servers. Your email address will not be published. It is important to configure high availability in production so that if one of the hiveserver2 fails, the others can respond to client requests. jar is required to connect to hive where as phoenix client jar is required to connect to hbase. I downloaded HDP-Sandbox (in an Oracle VirtualBox VM) a while ago, never used it much, and I'm now trying to access data from the outside world using Hive HDBC. The following are the services provided by Hive:- Hive CLI - The Hive CLI (Command Line Interface) is a shell where we can execute Hive queries and commands. Before you can use the Teradata Connector for Hadoop with Sqoop, you must install the connector from their website. Hive JDBC Connector 2. xml and create table hive with external location s3a base URL. To connect to a Hadoop cluster using Hive: On the Amp Home page, click Query Hadoop. These two articles may help what you are looking for How to Access Hive via Python? Python + JDBC = Dynamic Hive scripting. ls Command: ls command is one of the most frequently used command in Linux. I have installed HDFS, MapReduce and YARN first and the need is to add Hive. The support includes such features as enhanced code completion and better retrieval of database objects (introspection). Python + JDBC. About this task When the Teradata Connector is installed on the BigInsights cluster, you can use Sqoop commands to import data between a Teradata database and the distributed file system or Hive table. read_sql関数に接続を渡してpandasデータフレームにデータを返すことができます。. Then, start hive metastore using the following command, hive --service metastore Presto uses Hive metastore service to get the hive table's details. Direct use of the HBase API, along with coprocessors and custom filters, results in performance on the order of milliseconds for small queries, or seconds for tens of millions of rows. Recent in Big Data Hadoop. jar files, we can begin the installation process. This will be used in the python script to connect to hive below. For more information about using Hive and the JDBC interface, see HiveClient and HiveJDBCInterface in Apache Hive documentation. While, Java DataBase Connectivity (JDBC) is a standard Oracle interface that enables applications written in Java to connect to DBMSs. To use Selenium Webdriver for Database Verification you need to use the JDBC ("Java Database Connectivity"). To use the JDBC driver, you have to: Meet prerequisites. You can use a JDBC connection to connect Athena to business intelligence tools and other applications, such as SQL Workbench. x - python pyhive通过SSH隧道连接hive. include your access user ID and password. Submit a Hive Warehouse Connector Python app; Hive Warehouse Connector supported types; HiveWarehouseSession API operations; Connecting Apache Hive to BI tools. Recommend:hadoop - Connect to Hive server using SquirrelSQL client. In Hive command line mode or a script I can issue "use database" followed by a query (example below). pip install 'apache-airflow[jdbc]' JDBC hooks and operators. Great article Nikhil. This JDBC tutorial helps you understand how to get JDBC driver and write code for making database connection to Microsoft SQL Server from a Java client. To use the JDBC driver, you have to: Meet prerequisites. Before you can use the Teradata Connector for Hadoop with Sqoop, you must install the connector from their website. The Apache Hive Warehouse Connector (HWC) is a library that allows you to work more easily with Apache Spark and Apache Hive by supporting tasks such as moving data between Spark DataFrames and Hive tables, and also directing Spark streaming data into Hive tables. Questions: I want to load Java classes dinamically on Android application. The Hive Warehouse Connector makes it easier to use Spark and Hive together. JDBC Driver files and related. Note that it may be achievable by creating a connection to Hive as a JDBC connection. Hive; Hopefully you have installed Hadoop and Hive on your machine. Both the JDBC and HDFS connector offer useful features for you to easily build ETL pipelines. Steps to connect has been mentioned on JayDeBeApi link: I am pasting sample code snippet below. dex file on that jar with command dx. Selenium Webdriver is limited to Testing your applications using Browser. You can connect to and execute queries against SnappyData cluster using JDBC driver. Python connect to Hive use pyhs2 and Kerberos authentication. As with other application stacks connecting through the ODBC API, the application—in this case your python code along with the pyodbc module—will use an ODBC driver manager and ODBC driver. We're pretty sure that the problem relates to jpype1 and your JVM installation (as indicated in your post). If a tool like beeline is installed on the SAS machine, then it could be used to validate the JDBC connection from the SAS Server as it is very close to what is done by the SAS/ACCESS to HADOOP connection. I have the. Our exclusive remoting feature allows hosting the JDBC connection on a server to enable connections from various clients on any platform (Java,. Just like the Database Connection Dialog Box, you can save a connection or work with an existing connection. Hive JDBC Connection 2. The support includes such features as enhanced code completion and better retrieval of database objects (introspection). Add a new interpreter to the notebook app and supply the "name", set "interface" to jdbc, and set "options" to a JSON object that contains the JDBC connection information. 13 JDBC driver. DriverManager (see Section 6. HiveServer is a service that allows a remote client to submit requests to Hive, using a variety of programming languages, and retrieve results. import sys from hive import ThriftHive from hive. HDFS, Cassandra, Hive, etc) SnappyData comes bundled with the libraries to access HDFS (Apache compatible). Hacking PostgreSQL Internals • Rewrite queries at pgpool-II and run Presto queries using PL/Python presto_catalog hive, pg_database hive Connection. ODBC stands for Open Database Connectivity, the industry standard for database C APIs. In addition to the above method of using hive-site. 创建requirements. Once the drivers are located in the project, Anaconda recommends using the RJDBC library to connect to Hive. To connect to a Hadoop cluster using Hive: On the Amp Home page, click Query Hadoop. $ sqoop import \--connect jdbc: This file can be used to create HCatalog table for querying with Hive or Import postgres table to hdfs using sqoop. Also, JDBC is a Java API. I have found the following. arundhaj. In the Reporting Server Web Console, go to the Connect to Data page by clicking Connect to Data on the sidebar. # JDBC connect string for a JDBC metastore spark. Contact us if you want to use Verdict on other database systems. Just like the Database Connection Dialog Box, you can save a connection or work with an existing connection. We will use below sample data which contains the basic details of an employee like employee number, employee name, designation, manager, hire date, salary and department. In this tutorial I will show you how to connect to remote Kerberos Hive cluster using Java. The connection URL passed to the JDBC driver therefore looked like:. Setting up Hive JDBC driver. It is responsible for. Submit a Hive Warehouse Connector Python app. The Apache Knox JDBC connection uses the same Data Source Template and jar files as the Hive connection does. I downloaded HDP-Sandbox (in an Oracle VirtualBox VM) a while ago, never used it much, and I'm now trying to access data from the outside world using Hive HDBC. Java is the native language in Hadoop. According to MySQL 5. Like the original HiveServer1, HiveServer2 is a container for the Hive execution engine. Steps to create JDBC connection: Register the database driver with java. 创建requirements. getConnection() method: Connection db = DriverManager. Superset Project Apache Superset Maintained by Apache Superset Description Superset enables users to consume data in many different ways: writing SQL queries, creating new tables, creating a visualization (slice), adding that visualization to one or many dashboards and downloading a CSV. (Note that this is different than the Spark SQL JDBC server, which allows other applications to run queries using Spark SQL). dex file on that jar with command dx. The question is whether that query should be Spark SQL compliant or should be RDBMS specific. 1 - Updated Sep 10, 2018 - 1. | up vote 1 down vote You could use python JayDeBeApi package to create DB-API connection from Hive or Impala JDBC driver and then pass the connection to pandas. In the Name field, type Hive JDBC. Thrift Client: Hive Thrift Client can run Hive commands from a wide range of programming languages. 它被设计用于为像JDBC、ODBC这样的开发API客户端提供更好的支持。 from impala. Python Python supports accessing JDBC using the JayDeBeApi library. Here are the examples of the python api impala. 0 to that database. Contribute to ssshow16/PyHive2 development by creating an account on GitHub. It is built on Apache Thrift, therefore it is sometimes called as the Thrift server. His interests are in the areas of distributed systems and databases…. Some have said that Hive is a data warehouse tool (Bluntly put, that means. For information about the HiveServer2 JDBC client, see JDBC in the HiveServer2 Clients document. This post shows how to setup Squirrel SQL client for Hive, Drill, and Impala on Mac. Connect Hadoop Database by Using Hive in Python In this example , cd PyHive -0. Apache Phoenix takes your SQL query, compiles it into a series of HBase scans, and orchestrates the running of those scans to produce regular JDBC result sets. How to Run SQL Queries from Python Scripts. View Venkatesh S. A database in Hive is a namespace or a collection of tables. Before you can access MySQL databases using Python, you must install one (or more) of the following packages in a virtual environment: MySQL-python: This package contains the MySQLdb module, which is written in C. See Wiki Hive supports data warehouse software facility,which facilitates querying and managing large datasets residing in distributed storage. The database user on whose behalf the connection is being made. hadoop prefix is added to make sure these Hive specific options propagate to the metastore client. Hive JDBC and ODBC Drivers – Hortonworks Data Platform. Exporting Hadoop path in Hive-config. You can use the Hive Warehouse Connector in Zeppelin notebooks using the spark2 interpreter by modifying or adding properties to spark. Select File > Connect window. dbapi import connect conn = connect. So a typical connection string would like like the following:. Output Ports A database connection with the result table. The aim of this post is pretty much the same as the previous one with ODBC. Welcome to the MySQL Tutorial website! You will learn MySQL fast, easy and fun. View Hanu Reddy’s profile on LinkedIn, the world's largest professional community. View Venkatesh S. Add the Superset service; Connect Apache. Select File > Connect window. I tried with ODBC drivers from Horton works web site but FM not able to connect to Hive and Impala tables with DSN. The previous version 1. These two articles may help what you are looking for How to Access Hive via Python? Python + JDBC = Dynamic Hive scripting. 使用JDBC去操作hive可能是程序员们比较喜欢的一种方式,今天来总结一下使用javaapi来对hive进行增删查改,这里我主要演示对hive表中数据的操作,不创建表已经改变表原有的结构。. Contact us if you want to use Verdict on other database systems. Both the Cloudera JDBC 2. However, when the Dataset gets created, I get the following error:. User credentials can be set outside of the connection URL—for example, as arguments when getting a connection from the java. If we want to apply indexing using Hive then the first expectation might be that with indexing it should take less time to fetch records and it should not launch a map reduce job. You need to use the following software to connect Spark and Hive using the HiveWarehouseConnector library. This will be used in the python script to connect to hive below. It works on ordinary Python (cPython) using the JPype Java integration or on Jython to make use of the Java JDBC driver. Although Hive is getting a bit long in the tooth and is falling out of fashion, this is a very easy way to publish data from a Hadoop cluster to end-user …. Then it creates MapReduce jobs in Java. Thrift Client: Hive Thrift Client can run Hive commands from a wide range of programming languages. I have tried pyhive it is working fine, but I need to connect python with hive using JDBC connection. We recommend that you use the connection string provided by Azure portal, which enables Secure Sockets Layer (SSL) encryption for all data sent between the Spark driver and the SQL DW instance through the JDBC connection. Recommend:hadoop - Connect to Hive server using SquirrelSQL client. Connecting to data¶. 2 from apache, which I got from mvnrepository, with all the dependencies in the classpath, or hortonworks JDBC got fr. This can be achieved by using the ZooKeeper discovery mechanism to point the clients to the active Hive servers. Steps to Connect HiveServer2 from Python using Hive JDBC Drivers. Once all the Hadoop daemons are working fine, just start Hive installation part. In this database connection post we are going to learn how to connect Superset to our database using MySQL. Results are returned as a DataFrame for any further processing/analytics inside Spark. Your email address will not be published. ODBC stands for Open Database Connectivity, the industry standard for database C APIs. A database in Hive is a namespace or a collection of tables. Open a session to database, i. js to connect to hive-server2. Configuration Settings. But I cannot find any such significant driver in node. The database user's password. pip install 'apache-airflow[jdbc]' JDBC hooks and operators. This topic covers how to use the DataFrame API to connect to SQL databases using JDBC and how to control the parallelism of reads through the JDBC interface. Now that you have learned to create and connect to a PostgreSQL Database through Amazon RDS, you can progress to the next tutorial where you will learn to restore a DB Instance from a DB Snapshot. Connect to Arm Treasure Data’s Presto using our JDBC Driver. How to Run SQL Queries from Python Scripts. We have Cognos 10. For example, we can connect a local MySQL database named “hue” running on localhost and port 8080 via JDBC with the following configuration:. I was wondering if there is any way (configuration changes) with which I can improve performance for query through JDBC connection. You can find the libraries in the folder of your Hive installation in my case under /usr/lib/hive/lib/, but this depends on your installation. ls Command: ls command is one of the most frequently used command in Linux. In addition to the above method of using hive-site. Python interface to Hive and Presto. The following types are supported for access through HiveWareHouseConnector library:. We will not implement Lookup endpoint with Hive and we would strongly advise you not to try to implement it as a JDBC connection. The Hive ODBC Driver is a software library that implements the Open Database Connectivity (ODBC) API standard for the Hive database management system, enabling ODBC compliant applications to interact seamlessly (ideally) with Hive through a standard interface. This page provides resources for people looking for ODBC drivers which they can then use with one of the available Python ODBC interfaces. Before attempting to run them please follow the instructions contained in our pyodbc tutorial. In order to create a database in Hive, we need to use the Create Database statement. The Thrift JDBC/ODBC server implemented here corresponds to the HiveServer2 in Hive 1. The drivers on which this procedure is based are the Cloudera Hive JDBC drivers, which may be downloaded from the Cloudera website. PyGreSQL: This package contains the pgdb module. You can also use the Hive JDBC drivers to connect HiveServer2 from Python using Jaydebeapi. Hive JDBC Connection private static String driverName = "org. When it is a Kerberized Hadoop cluster, you are trying to open this JDBC connection with a Kerberos authentication for the Hive Service. For example, we can connect a local MySQL database named “hue” running on localhost and port 8080 via JDBC with the following configuration:. For articles, blogs and more, see the Connectivity section of this site. I connected to hive using JayDeBeApi python package. Locate the JDBC or ODBC driver; Specify the JDBC connection string; JDBC connection string syntax; Visualizing Apache Hive data using Superset. Download a Hive JDBC driver with all dependencies. dbapi import connect conn = connect. For example, if downloading the 7. A string to identify the JDBC connection's session on the server Apache Hive JDBC Driver Properties crypto objectmessage ojdbc open opencv-python opened. Some have said that Hive is a data warehouse tool (Bluntly put, that means. I connected to hive using JayDeBeApi python package. key AWS access key ID. For information about the HiveServer2 JDBC client, see JDBC in the HiveServer2 Clients document. sh as shown in below Mention the HADOOP_HOME Path in hive. DriverManager, where DriverManager is a class which is given under JDBC specifications. py install --user. Udemy is the world's largest destination for online courses. Apply to 34 Hadoop Developer Jobs in Hyderabad Secunderabad on Naukri. Thrift Client: Hive Thrift Client can run Hive commands from a wide range of programming languages. Earlier InfoCaptor supported only JDBC protocol but now along with CDH integration, it has introduced ODBC protocol to take advantage of efficient drivers from Cloudera (Cloudera – Simba drivers) and provide more platform connectivity options. This section explains how to install and use the JDBC driver for Apache Drill. java:14) How to solve this? 31122/error-while-connecting-to-hive-using-java-jdbc Toggle navigation. Connect to Arm Treasure Data’s Presto using our JDBC Driver. JDBC in Java/Python applications.