Export Hive Table To Parquet File

What Is the Quickest Way to Export a Table to a Flat File? The quickest way to export a table to a flat file is probably to use the SQL*Plus SPOOL command. parquet file from a Hive table. May or may not be helpful - I'm exporting tables from the cluster that start in avro format. Parquet data files, once ingested, can be easily viewed using Hive tables by creating Hive external tables using the scripts given here. There are many options to export data from hive table to csv file: Option 1: Hive does not provide a direct method to use the query language to dump to a file as CSV. I am trying to export a String column from Hive table (stored in Parquet format) to Oracle CLOB data type column using sqoop export. Just type "sqoop export help" in Bash and see what are all the…. You can check the size of the directory and compare it with size of CSV compressed file. You typically use text tables with Impala if that is the format you receive the data and you do not have control over that process, or if you are a relatively new Hadoop user and not familiar with techniques to generate files in other formats. insert", hadoop jar teradata-connector-1. You can use Sqoop to import data from a relational database management system (RDBMS) such as MySQL or Oracle into the Hadoop Distributed File System (HDFS), transform the data in Hadoop MapReduce, and then export the data back into an RDBMS. A simpler way to convert these. See the user guide for more details. How to Change data type in hive using –map-column-argument in sqoop-import statement ? If you want to change the data type at the time of sqoop-import then we use –map-column-hive argument. Contributing my two cents, I’ll also answer this. Apache HCatalog is a project enabling non-Hive scripts to access Hive tables. Reading Parquet Files. hortonworks. Tables on cloud storage must be mounted to Databricks File System. You can export data stored in Vertica in ROS format and data from external tables. The conversion is based on the Parquet schema that is generated by Hive. Reads the metadata (row-groups and schema definition) and provides methods to extract the data from the files. These file formats often include tab-separated values (TSV), comma-separated values (CSV), raw text, JSON, and others. The target table must exist in the target database. Hive metastore Parquet table conversion. As part of this work, I've had need to use the Hive IMPORT and EXPORT commands as part of the migration of tables from one cluster to another. All user tables can be exported into a directory with a single command. By creating an External File Format, you specify the actual layout of the data referenced by an external table. Use below hive scripts to create an external table csv_table in schema bdp. A local table is not accessible from other clusters and is not registered in the Hive metastore. Among components of the CDH distribution, Parquet support originated in Impala. export_to_csv('my_table'). We can also save the file as parquet table, CSV file or JSON file. It’s all good news for the user who wants to create, manage, and analyze large tables with Hive. 13 and later. The following limitations apply: Existing compression settings are not detected, notably on files in the Parquet format. One must remember that Hive is not data warehouse software, rather it provides a mechanism to manage. parquet file to. Parquet Files. Big Data SQL Quick Start. It will output a single CSV file. 0 currently only supports predicate subqueries in ` WHERE ` clauses. Unfortunately, this is not yet supported by just using external tables and Polybase, so i needed to find an alternative. Specifying storage format for Hive tables. 1 supports various types of files, which help process data more efficiently. Assume I processed(by MR jobs) the data generated by import job and inserted them into Hive tables. Hive RCFile. –hive-table hive. In this recipe, we are going to use sequential files to store data in Hive. Best way to Export Hive table to CSV file June 9, 2018 June 25, 2018 gchandra 0 Comments CSV , export , hive , orc This post is to explain different options available to export Hive Table (ORC, Parquet or Text) to CSV File. Every HDInsight cluster comes with hivesampletable as a default sample table on which you can. Hive can process the data locally without accessing Oracle Database. xml) to import data from RDBMS into an external Hive table backed by S3. We can also save the file as parquet table, CSV file or JSON file. {SparkConf, SparkContext}. Native Parquet Support Hive 0. Additionally, we can directly upload files to ADLS. Exporting partitioned Hive table into mysql C. Hi Kumar, Altering the table just update's Hive's metadata without updating parquet's schema. The following example will export the data from my_all_objects_sqoop table in Hive to WZHOU. Parquet is supported by a plugin in Hive 0. If a table with the same name already exists in the database, an exception is thrown. To get better performance and efficient storage, you convert these files into Parquet. Creating table in hive to store parquet format: We cannot load text file directly into parquet table, we should first create an. To store the data in Parquet files, we first need to create one Hive table, which will store the data in a textual format. The metadata of a parquet file or collection. Like JSON datasets, parquet files. The external table is the opposite of the internal table. Apache Hive is a data warehouse system for Apache Hadoop. Assume, we have imported the data from Netezza tables and processed it in Hadoop in order to benefit the distributed processing. My intention was to write an article of different file formats in Hive but happened to notice a article already posted. parquet file with WebHDFS (invokeHTTP call from nifi) - use a nifi processor to convert the. After creating parquet external table and quering it via Hive: The sample of parquet file with decimal int32 values is added. Is it possible to export data from HIVE table directly into csv file including headers? Is it possible to export data from HIVE table directly into csv file. Most likely, you will use them in production environment so you know where to look for optimization options. using the hive/drill scheme), an attempt is made to coerce the partition values to a number, datetime or timedelta. csv to the Parquet Filec) Store Parquet file in a new HDFS directoryThe first step I had completed using Apache Hive: create external table parquet_file (ID BIGINT, Date TimeStamp, Size Int) ROW FORMAT SERDE 'parquet. In this article we will learn How to create Hive table for parquet file format data. hello text. These file formats often include tab-separated values (TSV), comma-separated values (CSV), raw text, JSON, and others. In a recent post, I mentioned I am working with a customer to migrate from a native Hortonworks (HDP) cluster to Azure HDInsight. This topic provides general information and recommendation for Parquet files. Tag: creating hive table from hdfs parquet file » Smartechie An Anchor to the cutting-edge tech creating hive table from hdfs parquet file. Parquet tables created by Impala can be accessed by Hive, and vice versa. When you store data in parquet format, you actually get a whole directory worth of files. You can then directly load tables with Pig or MapReduce without having to worry. Step 1 - Loaded the data from hive table into another table as follows DROP TABLE IF EXISTS TestHiveTableCSV; CREATE TABLE TestHiveTableCSV ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' AS SELECT Column List FROM TestHiveTable; Step 2 - Copied the blob from hive warehouse to the new location with appropriate extension. Create a new Big SQL table on a new HDFS location and then use Big SQL INSERT…SELECT to generate the Parquet file. Native Parquet Support Hive 0. Partitioning can be done based on more than column which will impose multi-dimensional structure on directory. You don't need to writes any schemas at all. OrcSerde' STORED AS INPUTFORMAT 'org. This output location can then be moved over to a different Hadoop or Hive instance and imported from there with the IMPORT command. Working on these hive real time projects will help individuals get exposure to diverse big data problems that can be tackled using Apache hive. To store data in sequential files, we first need to create a Hive table that stores the data in a textual format:. It then creates Data Pump format files in HDFS that include all the splits, and creates a Hive external table that maps to the Data Pump format files. You know how to use ORC and Parquet file formats in Hive tables. 1 Big Data Analysis: Hive. Extracts a value or values from a complex type. Example Table Creation with Compression Enabled. Avro? Parquet? Text?). PARQUET is a columnar store that gives us advantages for storing and scanning data. Lets say for example, our csv file contains three fields (id, name, salary) and we want to create a table in hive called "employees". com/gehlg/v5a. The XML files are converted to Parquet using the enterprise version of Flexter. Apache Parquet is a free and open-source column-oriented data storage format of the Apache Hadoop ecosystem. Hi Kumar, Altering the table just update's Hive's metadata without updating parquet's schema. Now you have file in Hdfs, you just need to create an external table on top of it. The table is partitioned and after the schema installation is physically located as a collection of Parquet files organized under a root directory. Creating an external file format is a prerequisite for creating an External Table. The parquet file destination is a local folder. CREATE TABLE boxes (width INT, length INT, height INT) USING CSV CREATE TEMPORARY TABLE boxes (width INT, length INT, height INT) USING PARQUET OPTIONS ('compression' = 'snappy') CREATE TABLE rectangles USING PARQUET PARTITIONED BY (width) CLUSTERED BY (length) INTO 8 buckets AS SELECT * FROM boxes-- CREATE a HIVE SerDe table using the CREATE. It uses JSON for defining data types and protocols, and serializes data in a compact binary format. If a table with the same name already exists in the database, an exception is thrown. After creating parquet external table and quering it via Hive: The sample of parquet file with decimal int32 values is added. Using this connection, data is read from a specified Hadoop file and loaded to either an existing table of a selected connection, or to a newly created table in the selected connection. ( the parquet was created from avro ). One way is to use command line, Impala Shell. For example, in Hive if a table is created using: hive > create table hive_parquet_table (fname string, lname string. The CREATE EXTERNAL TABLE command does not move the data file. Hadoop Sqoop Tutorial: Example of Data Export Problem Statement. It allows you to record SELECT query result to a text file on the operating system. BigQuery is able to take full advantage of the columnar nature of Parquet and ORC to efficiently project columns. Create Parquet file by specifying 'STORED AS PARQUET' option at the end of a CREATE TABLE Command. Databricks registers global tables either to the Databricks Hive metastore or to an external Hive metastore. By creating an External File Format, you specify the actual layout of the data referenced by an external table. Technically speaking, parquet file is a misnomer. Please note that parquet format stores data in binary form along with its schema in JSON format which is embedded with the data. A simpler method for converting CSV files is to use Apache Drill, which lets you save the result of a query as a Parquet file. com before the merger with Cloudera. Exports a table, columns from a table, or query results to files in the Parquet format. Please help to establish notability by citing reliable secondary sources that are independent of the topic and provide significant coverage of it beyond a mere trivial mention. 13 Native Parquet support was added). The Drill team created its own version to fix a bug in the old Library to accurately process Parquet files generated by other tools, such as Impala and Hive. Sample data prep C2. When you export data to multiple files, the size of the files will vary. It does have reference to the data but has a loose coupling with the data. The advantages of having a columnar storage are as follows − Spark SQL provides support for both reading and writing parquet files that automatically capture the schema of the original data. Write CSV data into Hive and Python Apache Hive is a high level SQL-like interface to Hadoop. Need to export Hive metastore and import it on another HDInsight cluster. CREATE TABLE t STORED AS parquet SELECT 1 as a, 1 as b CREATE TABLE t1 ROW FORMAT SERDE 'org. Csv2Hive is an useful CSV schema finder for the Big Data. When defining Hive external tables to read exported data, you might have to adjust column definitions. The steps are as follows: Using the command line HIVE client, execute the following statements: set hive. parquet) as. q * [HIVE-8651. To use Parquet with Hive 0. As a result, the output compression is not preserved (if you plan on using this dataset in write mode). Parquet File In Hive/Impala. There is a parquet file in our hadoop cluster without a hive table built on top of it. 3, Dremio supports offheap memory buffers for reading Parquet files from Azure Data Lake Store (ADLS). It makes sqoop export of parquet files usability very limited. csv file stored in HDFS and I need to do 3 steps:a) Create a parquet file format b) Load the data from. This blog post will cover how I took a billion+ records containing six years of taxi ride metadata in New York City and analysed them using Spark SQL on Amazon EMR. Apache Hadoop is commonly used for data analysis. Csv2Hive is an useful CSV schema finder for the Big Data. Top courses for data engineers. com/gehlg/v5a. This documentation is applicable for sqoop versions 1. Failed to load hive table in pig using hcatalog Hive table contains files in HDFS, if one table or one partition has too many small files, the HiveQL performance. Create a new database in the MySQL instance. You can then directly load tables with Pig or MapReduce without having to worry. We are going to use Sqoop-HCatalog Integration here. Using the load operation to add more data to the Hive table created in the first example. 1 supports various different types of files, which help process data in a faster manner. Apache Parquet is a free and open-source column-oriented data storage format of the Apache Hadoop ecosystem. Parquet is a columnar format, supported by many data processing systems. The following examples use Hive commands to perform operations such as exporting data to Amazon S3 or HDFS, importing data to DynamoDB, joining tables, querying tables, and more. The default file format of Hive-managed tables in Qubole is TextFile, which is also the default format for Insert-only tables. Now you have file in Hdfs, you just need to create an external table on top of it. Head over to our Azure Data Lake Blog to see an end-to-end example of how we put this all together to cook a 3 TB file into 10,000 Parquet files and then process them both with the new file set scalability in U-SQL and query them with Azure Databricks’ Spark. 13 and later. Apache Parquet is a columnar storage format available to any project in the Hadoop ecosystem, regardless of the choice of data processing framework, data model or programming language. Parquet files created by all tools (including Hive) work with (and only with) ParquetSplitGenerator. Apache Parquet is a columnar file format that provides optimizations to speed up queries and is a far more efficient file format than CSV or JSON. LIKE PARQUET) Comparing Hive vs Impala options Option 1: Using Hive- Manually build the table schema with all the column details. This behavior is controlled by the spark. When defining Hive external tables to read exported data, you might have to adjust column definitions. convertMetastoreParquet configuration, and is turned on by default. Like JSON datasets, parquet files. Step 1 - Loaded the data from hive table into another table as follows DROP TABLE IF EXISTS TestHiveTableCSV; CREATE TABLE TestHiveTableCSV ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' AS SELECT Column List FROM TestHiveTable; Step 2 - Copied the blob from hive warehouse to the new location with appropriate extension. {SparkConf, SparkContext}. We have most of the files created by Spark and Hive, and they don't create. Gwen Shapira It looks like for some reason Sqoop is trying to export your partition as if it was a Kite data set. xml) in a text editor. We get the data in our mapped Parquet file of Blob storage automatically. It is similar to the other columnar-storage file formats available in Hadoop namely RCFile and ORC. Using this connection, data is read from a specified Hadoop file and loaded to either an existing table of a selected connection, or to a newly created table in the selected connection. Hive really shines when you need to do heavy reads and writes on a ton of data at once, which is. How to convert CSV files into Parquet files. Similarly let's create a table structure in ORACLE in the meantime. This topic provides general information and recommendation for Parquet files. Further, you will learn Sqoop Export to migrate data. Doing POC on Sqoop Utility to export data from Hive to Oracle Database, where i am facing some issue on handling multi-line text column in hive. Step 1 - Loaded the data from hive table into another table as follows DROP TABLE IF EXISTS TestHiveTableCSV; CREATE TABLE TestHiveTableCSV ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' AS SELECT Column List FROM TestHiveTable; Step 2 - Copied the blob from hive warehouse to the new location with appropriate extension. EXPORT TO PARQUET. Files are compressed by the encoding scheme resulting in hilariously small Parquet files compared to the same data as a CSV file; All major systems provide "a SQL interface over HDFS files" support Parquet as a file format (and in some it is the default) Spark natively supports Parquet; S3 handles all the distributed system-y requirements. In general, expect query performance with ORC tables to be faster than with tables using text data, but slower than with Parquet tables since there're bunch of optimizations for Parquet. Parquet tables created by Impala can be accessed by Hive, and vice versa. What if we want to store our users data as persistent? If our Spark environment is already configured to connect Hive, we can use DataFrameWriter object’s “saveAsTable” method. Spark SQL also supports reading and writing data stored in Apache Hive. Apache Hive is a data warehouse software project built on top of Apache Hadoop for providing data query and analysis. Use incremental mode to migrate the data from Mysql to HDFS. php on line 143 Deprecated: Function create_function() is deprecated. 130 and Cloudera /hortonworks is in different operating system. The conversion is based on the Parquet schema that is generated by Hive. The external table is the opposite of the internal table. Parquet files exported to HDFS or S3 are owned by the Vertica user who exported the data. There are two types of tables. 8, Hive supports EXPORT and IMPORT features that allows you to export the metadata as well as the data for the corresponding table to a directory in HDFS, which can then be imported back to another database or Hive instance. metadata, it only Kite that does. 58:3306/pi_viz -table offers. Thanks for your answer, Actualy this is what i'm trying to do,I already have parquet files, and i want dynamically create an external hive table to read from parquet files not Avro ones. Please note that parquet format stores data in binary form along with its schema in JSON format which is embedded with the data. In order to improve performances I would like to repartition the Parquet files according to the key I am using in the join. HiveQL syntax for Parquet table A CREATE TABLE statement can specify the Parquet storage format with syntax that depends on the Hive version. There are two caveats the guidelines above. parquet file with WebHDFS (invokeHTTP call from nifi) - use a nifi processor to convert the. Create a table in hive with "STORED AS PARQUET" for hive 0. class pyspark. Is there a nifi Processor. Data scientists often want to import data into Hive from existing text-based files exported from spreadsheets or databases. Hope you must have some idea about Hive ORC tables. In this blog, we will see how to export data from HDFS to MySQL using sqoop, with weblog entry as an example. You typically use text tables with Impala if that is the format you receive the data and you do not have control over that process, or if you are a relatively new Hadoop user and not familiar with techniques to generate files in other formats. Step 6: Output. Export hive data into file. A common use case when working with Hadoop is to store and query text files, such as CSV and TSV. OrcSerde' STORED AS INPUTFORMAT 'org. Moving data from Hive table in MS Hadoop into SQL Server using SSIS Server. com @owen_omalley September 2016. Apache Hive is an integral part of Hadoop eco-system. Doing POC on Sqoop Utility to export data from Hive to Oracle Database, where i am facing some issue on handling multi-line text column in hive. For example, in one use case, querying external tables was 30 times faster than querying Hive/Spark in the Truecaller data platform. Check the create table syntax in this article. is it possible to do sqoop export from parquet partitioned hive table to oracle database? our requirement is to use processed data to legacy system that cannot support hadoop/hive connection, than. 1 Test something Text. The files which are given as input to the Sqoop contain records, which are called rows in table. Tables in SQL Server to tables in Hive* Queries executed in SQL Server to delimited text files on HDFS Queries executed in SQL Server to SequenceFiles files on HDFS Queries executed in SQL Server to tables in Hive* With SQL Server-Hadoop Connector, you can export data from: Delimited text files on HDFS to SQL Server SequenceFiles on HDFS to SQL. Things you can do with Spark SQL: Execute SQL queries; Read data from an existing Hive. Hive metastore Parquet table conversion. Parquet data files, once ingested, can be easily viewed using Hive tables by creating Hive external tables using the scripts given here. For the uninitiated, while file formats like CSV are row-based storage, Parquet (and OCR) are columnar in nature — it's designed from the ground up for efficient storage, compression and encoding, which means better performance. parquet("people. ConnectorExportTool \ -D mapreduce. Use various file formats, compressions, file delimeter,where clause and queries while importing the data. Parquet Files. Native Parquet support was added (HIVE-5783). Later, we will push the data to the external table. Hive datasets are pointers to Hive tables already defined in the Hive metastore. Every HDInsight cluster comes with hivesampletable as a default sample table on which you can. Below are the commands I run for creation of tables in Oracle & Hive and, the sqoop command I use to to export the data. Sequence files are in the binary format which can be split and the main use of these files is to club two or more smaller files and make them as a one sequence file. To configure Hunk to work with Hive, see Configure Hive connectivity. To see the data in hive table go to hive prompt and paste below code. Avro and Parquet are the file formats that are introduced within Hadoop ecosystem. A simpler way to convert these. The external table is the opposite of the internal table. File Format Benchmark - Avro, JSON, ORC, & Parquet Owen O’Malley [email protected] As a result, the output compression is not preserved (if you plan on using this dataset in write mode). If the files are regular delimited text files or have a built-in Serde, we can create a Hive table and "load" the entire content of the folder into the table and seamlessly query all the files. Every HDInsight cluster comes with hivesampletable as a default sample table on which you can. ParquetHiveSerDe is used for data stored in Parquet Format. When reading from and writing to Hive metastore Parquet tables, Spark SQL will try to use its own Parquet support instead of Hive SerDe for better performance. I am trying to export a String column from Hive table (stored in Parquet format) to Oracle CLOB data type column using sqoop export. If you are visiting this page via google search, you already know what Parquet is. Hope you must have some idea about Hive ORC tables. Some links, resources, or references may no longer be accurate. If you are exporting more than 1 GB of data, use a wildcard to export the data into multiple files. Nested and repeated data is supported for Avro and JSON. The CREATE EXTERNAL TABLE command does not move the data file. LOCATION '/user/mapr/parquet'; Make sure: Column names in hive should match with column names in parquet file. Typically it’s best to. RCFile (Record Columnar File) is a data placement structure that determines how to store relational tables on computer clusters. Home Community Categories Big Data Hadoop How to create a parquet table in hive and store. See Using the Parquet File Format with Impala Tables for information about using the Parquet file format for high-performance analytic queries. For more information, see " HDInsight: Hive Internal and External Tables Intro ". Create and Store Dask DataFrames¶. CSV or comma separated flat files are most common file system used to transfer data using electronic media. The procedure is more or less for ORC, just replace the. 13 and later. output=false; create table csv_dump ROW FORMAT DELIMITED FIELDS TERMINATED BY ',' LINES TERMINATED BY '\n' as select * from…. Load CSV file into hive AVRO table. 2) Run the following command on the HDInsight cluster where from you want to export the metastore:. A tool which exports a set of files from HDFS back to RDBMS. when exporting 2billion+ records into teradata from hadoop using TDCH (Teradata Connector for Hadoop) using the below command with "batch. Is there a nifi Processor. When you drop a table from Hive Metastore, it removes the table/column data and their metadata. This output location can then be moved over to a different Hadoop or Hive instance and imported from there with the IMPORT command. The following formats are supported: Parquet; ORC. This video exclusively demonstrates on working with parquet files and Updates in Hive. Export Hive Query Output into Local Directory using INSERT OVERWRITE. For example, for tables created from a storage directory, adding or removing files in that directory changes the contents of the table. The following formats are supported: Parquet; ORC. COMPRESS'='SNAPPY'); Here, TBLPROPERTIES with 'PARQUET. Hive is a data warehouse system for Hadoop that facilitates easy data summarization, ad-hoc queries, and the analysis of large datasets stored in Hadoop compatible file systems. com/gehlg/v5a. Something not cool. tbl_batting can only be accessed via HDFS internal account. The other way: Parquet to CSV. To learn more about the configuration of the two DynamoDB tables that enable the AWS Lambda function to parse the object key passed by Amazon S3, see Data Lake Ingestion: Automatic External Table Partitioning with Hive and AWS DynamoDB Table Configuration Details. Hive/Parquet Schema. XML Word Printable JSON. As part of this work, I’ve had need to use the Hive IMPORT and EXPORT commands as part of the migration of tables from one cluster to another. The table is partitioned and after the schema installation is physically located as a collection of Parquet files organized under a root directory. I need to export the data from hive to a. When you store data in parquet format, you actually get a whole directory worth of files. On a smaller development scale you can use my Oracle_To_S3_Data_Uploader It's a Python/boto script compiled as Windows executable. Sqoop is a tool designed to transfer data between Hadoop and relational databases. I plan use impala: 1: Convert csv file to parquet file directly out of hadoop cluster; 2: Then put file to hdfs specific directory. Apache Spark is a modern processing engine that is focused on in-memory processing. Tables in impala are very similar to hive tables which will hold the actual data. Similar performance gains have been written for BigSQL, Hive, and Impala using Parquet storage, and this blog will show you how to write a simple Scala application to convert existing text-base data files or tables to Parquet data files, and show you the actual storage savings and query performance boost for Spark SQL. Save the changes to the file. There is one condition for it, that in the database, target the table must already exist. I managed to do it using HiveQL Processor but I want to do it without Hive. Here's a quick bash script that can handle a DB export that's segmented in multiple files and has the default delimiters. Hive Tables. Exporting data with the Teradata Connector into a Hive table Export to an existing empty Teradata table from a Hive table in text file format by using the batch insert method and one map task. Csv2Hive is an useful CSV schema finder for the Big Data. Quoted Value File Overview In the quoted values files, values are enclosed in quotation mark in case there is a embedded delimiter. The advantage of partitioning is that since the data is stored in slices, the query response time becomes faster. The other answers are excellent, although I'd like to take a slightly higher level view. It was a matter of creating a regular table, map it to the CSV data and finally move the data from the regular table to the Parquet table using the Insert Overwrite syntax. Is there a nifi Processor. 2 and earlier uses its own version of a previous Parquet Library. Hive Command Examples for Exporting, Importing, and Querying Data in DynamoDB. Hive has recently introduced the ability to query HBase Snapshots which, as files on HDFS, will provide significantly improved large scan performance. If you have tables in parquet format, you need to first query the parquet table and place the output as delimited text in an HDFS folder. Previously, it was not possible to create Parquet data through Impala and reuse that table within Hive. Hey guys, my case is to export the data from hive table to Azure Blob Storage in parquet format, and I would like to use dynamic mapping to do so So, is it possible to export hive table to Azure Blob Storage using parquet format?. Parquet Files. Hive RCFile. Create Hive Tables Directly From ADLS. Release Notes - Hive - Version 1. Hi Kumar, Altering the table just update's Hive's metadata without updating parquet's schema. When exporting a partitioned table, the original data may be located in different HDFS locations. We will create a new parquet table from an existing table in Impala. show() where "test" is a simple table I created in Hive with the user hive. the "serde". EXPORT TO PARQUET. Querying the data in the Hive table and in the Oracle Database table. Now to increase the perfomance I am gonna use parquet file format. Athena uses this class when it needs to deserialize data stored in Parquet: org.