Make a note that below HiveQL syntax is case insensitive but just for better readability, we have used keywords in uppercase. These are separted by ~ in the input file. hello text. We can observe from the above screenshot that we have successfully transferred these table contents from the MySQL to a Hive table using Sqoop. Hive/Parquet Schema. Previously known as the Hive Drift Solution, the Drift Synchronization Solution for Hive enables creating and updating Hive tables based on record requirements and writing data to HDFS or MapR FS based on record header attributes. What's the file format of the table? (i. Native Parquet support was added (HIVE-5783). You can use the full functionality of the solution or individual pieces, as needed. Specifying a control file in DFI ingestion to validate the ingested data from CSV. Suppose you periodically build a recommendation model for products on your online store. Clone via HTTPS Clone with Git or checkout with SVN using the repository’s web address. (2 replies) I am trying to use sqoop to export some parquet data to oracle from HDFS. Azure Databricks registers global tables either to the Azure Databricks Hive metastore or to an external Hive metastore. If Parquet tables are created using Hive then the default is not to have any compression enabled. The EXPORT command exports the data of a table or partition, along with the metadata, into a specified output location. This topic shows how to import Hive tables from cloud storage into Databricks, using an external table. 可以使用hive export/import 进行hive数据的批量迁移,本实验测试了text,orc,parquet,分区表,并测试了不同版本的导入导出。理论上hive导入导出的数据迁移不受版本,数据格式以及表的限制,可以得出结论可以适应hive export/import进行任何hive数据的迁移 4. 13 on MySQL Root Cause: In Hive Metastore tables: "TBLS" stores the information of Hive tables. insert into table parquet_file_table_name select * from table_name_containing_results For more information you can refer to the below link. Hive Tables can be created with CREATE TABLE command which is very similar to MySQL syntax with some hive extensions. How to Export Hive Table to CSV File – Hadoopsters. dates, to enable/disable auto correction of dates on parquet files. Hive Tables Creation. Supported file formats and compression codecs in Azure Data Factory. Because we want something efficient and fast, we'd like to use Impala on top of Parquet: we'll use Apache Oozie to export the Avro files to Parquet files. Working with Hive and Parquet data Data Preprocessors. 12 and natively in Hive 0. - Objective: Import data from Netezza to a Hive table. These are separted by ~ in the input file. Then, we can put any file which satisfy the pattern declared by user table inside user folder. Use incremental mode to migrate the data from Mysql to HDFS. Hi Cathy, Thank You for your response, it's working fine now i have just added -Dsqoop. The CREATE EXTERNAL TABLE command does not move the data file. Below are the commands I run for creation of tables in Oracle & Hive and, the sqoop command I use to to export the data. [Hive] Slow Loading Data Process with Parquet over 30k Partitions: Date: Thu, 09 Apr 2015 17:34:04 GMT: Hello Hive, I'm a developer using Hive to process TB level data, and I'm having some difficulty loading the data to table. Parquet File Extension. 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. At the time, Parquet existed as both a spec and a reference implementation in Java. Avro? Parquet? Text?). Powerupcloud Tech Blog Learn about Powerupcloud's tech stories in Cloud, Big Data & Artificial Intelligence fields. yaml template and create a stack for each table. Also includes exporting hive tables to files. Sqoop export to hbase - Sqoop does not support Hbase export to any database. This is in contrast with Hive, which either scans a full table or full set of partitions for each query. This blog describes the best-practice approach in regards to the data ingestion from SQL Server into Hadoop. 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. Although there are many more insights on this tool. Hive RCFile. Partitioning data can improve query performance by enabling partition pruning; see Improving Query Performance for Data Stored in HDFS. In this task you will be creating a job to load parsed and delimited weblog data into a Hive table. mode (SaveMode. This post is to explain different options available to export Hive Table (ORC, Parquet or Text) to CSV File. SnappyData relies on the Spark SQL Data Sources API to parallelly load data from a wide variety of sources. The Table from which you want to copy information, should not be an “External Table” c). Sqoop export command for updates D. Sqoop is a tool designed to transfer data between Hadoop and relational databases or mainframes. com/developer/article/1078473 Sqoop抽取Hive Parquet表数据到. How to Provide Compression Format for Table during Phoenix Export. This is also known as a temporary table or a view. It then uses a hadoop filesystem command called “getmerge” that does the equivalent of Linux “cat” — it merges all files in a given. How to Export and Restore Table Data using HDFS. In this blog, I will detail the code for converting sequence file to parquet using spark/scala. If we are using earlier Spark versions, we have to use HiveContext which is. Sqoop export(Hive to MySQL) 的一些 reference的更多相关文章 (MySQL里的数据)通过Sqoop Import Hive 里 和 通过Sqoop Export Hive 里的数据到(MySQL) Sqoop 可以与Hive系统结合,实现数据的导入和导出,用户需要在 sqoop-env. Support of parquet backed hive tables with hive metastore is only usable for Avro Table, not Parquet Avro backed Hive tables. 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. This is also known as a temporary table or a view. Methods exist for determining what to put into Parquet objects in the files to export, as well as what the object representation of the column as returned by the database should look like. EXPORT TO PARQUET. ParquetHiveSerDe is used for data stored in Parquet Format. This video contains rename, exchange partitions, external table partitions, Bucketing concepts. 1, along with the license associated …. This tutorial guides users to set up a stack of Presto, Alluxio, and Hive Metastore on their local server. filesize), the join is converted to map-join. On a smaller development scale you can use my Oracle_To_S3_Data_Uploader It's a Python/boto script compiled as Windows executable. Hive table contains files in HDFS, if one table or one partition has too many small files, the HiveQL performance may be impacted. Internal Hive tables are stored in the Hive warehouse. dates, to enable/disable auto correction of dates on parquet files. ohsh> %hive_moviedemo create movie_sessions_tab_parquet stored as parquet as select * from movie_sessions_tab; hive_moviedemo is a Hive resource (we created that in the blog post on. For example, if you have ORC or Parquet files in an ABFS file_system, you will need to execute a query:. 12) Hive supports several file formats like Text File /SequenceFile /RCFile/ Avro Files/ORC Files / Parquet/ Custom INPUTFORMAT and OUTPUTFORMAT. The Table from which you want to copy information, should not be an “External Table” c). 1 The table below lists third party software that is incorporated into Confluent Platform 5. Sqoop is a tool designed to transfer data between Hadoop and relational databases or mainframes. Oracle Loader for Hadoop (OLH) can load Parquet data. In addition, you will learn about Sqoop Export to migrate data effectively, and about Apache Flume to ingest data. The section Apache Hive introduces Hive, alongside external and managed tables; working with different files, and Parquet and Avro—and more. Creating a table creates a directory with the table name, and all files in that directory are considered to be part of the table. 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. Parquet columnar storage format in Hive 0. Code for sqooping into Hive parquet tables Raw. 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. 0, you can easily read data from Hive data warehouse and also write/append new data to Hive tables. Only one table is used in the examples, I have chosen to use the largest fact table: STORE_SALES. As mentioned in a couple other posts, I am working with a customer to move data between two Hadoop clusters. Specifying a control file in DFI ingestion to validate the ingested data from CSV. Oracle Shell for Hadoop Loaders (OHSH) OHSH is an intuitive command line tool to move data between Hadoop and Oracle Database. Hive Intro. 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?. Technically speaking, parquet file is a misnomer. 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. This sink is used whenever you need to write to a database table. If the schema. partition and hive. 0 with one-liner HQL request: CREATE TABLE array_test STORED AS PARQUET AS SELECT array(); The problem did not appear in the previous CDH (5. Alas, even my. To get better performance and efficient storage, you convert these files into Parquet. A table can be partitioned by one or more keys. 1 supports various types of files, which help process data more efficiently. Alteryx can read and write data from these tables with the hive ODBC driver. That tool is what we call a Sqooop Export Tool. Also includes exporting hive tables to files. Because we want something efficient and fast, we'd like to use Impala on top of Parquet: we'll use Apache Oozie to export the Avro files to Parquet files. This post is to explain different options available to export Hive Table (ORC, Parquet or Text) to CSV File. 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. ${hive_table} STORED AS PARQUET TBLPROPERTIES ('PARQUET. Exporting partitioned Hive table into mysql C. Best way to Export Hive table to CSV file. ParquetHiveSerDe is used for data stored in Parquet Format. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. Suppose you periodically build a recommendation model for products on your online store. Using the create or replace operation to drop the Hive table and replace it with a new one that has a different record set. You can use the full functionality of the solution or individual pieces, as needed. There are two caveats the guidelines above. Working with multiple partition formats within a Hive table with Spark Problem statement and why is this interesting. Using HiveContext to read Hive Tables I just tried to use Spark HiveContext to use the tables in HiveMetastore. This Hadoop Programming on the Cloudera Platform training class introduces the students to Apache Hadoop and key Hadoop ecosystem projects: Pig, Hive, Sqoop, Impala, Oozie, HBase, and Spark. Converting the data into other formats. compression=GZIP;create table ${hive_db}. This article provides the SQL to list table or partition locations from Hive Metastore. I have my funny application managing 200 nodes over internet with my funny db with two important tables: tested ORC vs Hive vs Parquet. Table creation & insert into Hive:. tHiveLoad properties Component family B. EXPORT & IMPORT; Some times the interviewers had asked me to explain the above ways using Syntax. Of course, Spark SQL also supports reading existing Hive tables that are already stored as Parquet but you will need to configure Spark to use Hive's metastore to load all that information. So, my requirement is, import data from RDBMS and store it in HDFS as parquet file format. 1 uses Parquet 1. There are two possible solutions to this problem: Run Presto service and Hive service as the same user. 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?. The HDFS 3 connector allows you to export data from Kafka topics to HDFS 3. Before the first time you access a newly created Hive table through Impala, issue a one-time INVALIDATE METADATA statement in the impala-shell interpreter to make Impala aware of the new table. Using Hue or the HDFS command line, list the Parquet files that were saved by Spark SQL. ParquetHiveSerDe is used for data stored in Parquet Format. ParquetHiveSerDe. Sometimes, it may take lots of time to prepare a MapReduce job before submitting it, since Hive needs to get the metadata from each file. 12 you must download the Parquet Hive package from the Parquet project. Hive Tables. A simpler way to convert these text files to Parquet is to query the text files using Drill, and save the result to Parquet files. Also includes exporting hive tables to files. The EXPORT command exports the data of a table or partition, along with the metadata, into a specified output location. (2 replies) I am trying to use sqoop to export some parquet data to oracle from HDFS. Converting to Columnar Formats. In HDInsight, we use Azure SQL database as Hive Metastore. It provides a set of declarative commands you can use to copy contents from an Oracle Database table to a Hive table. In HDInsight, we use Azure SQL database as Hive Metastore. SnappyData relies on the Spark SQL Data Sources API to parallelly load data from a wide variety of sources. CSV or comma separated flat files are most common file system used to transfer data using electronic media. I then successfully created an external table so that I can query using:. Partitioning data can improve query performance by enabling partition pruning; see Improving Query Performance for Data Stored in HDFS. In some cases, you might need to download additional files from outside sources, set up additional software components, modify commands or scripts to fit your own configuration, or substitute your own sample data. In this blog, I will detail the code for converting sequence file to parquet using spark/scala. You want the parquet-hive-bundle jar in Maven Central. Defined UDFs using PIG and Hive to capture customer behavior. Hive Parquet File Format Example. Solution to access data stored in PARQUET format via the Alteryx Designer Data in parquet format can be stored in hive tables and accessed from the Alteryx Designer via the hive ODBC driver. This chapter describes how to export data back from the HDFS to the RDBMS database. Hive Tables Creation. Incoming data is usually in a format different than we would like for long-term storage. Use various file formats, compressions, file delimeter,where clause and queries while importing the data. In this stack, Presto is the SQL Engine to plan and execute queries, Alluxio is the data orchestration layer to cache hot […]. This is in contrast with Hive, which either scans a full table or full set of partitions for each query. Parquet is supported by a plugin in Hive 0. This page shows how to operate with Hive in Spark including: Create DataFrame from existing Hive table Save DataFrame to a new Hive table Append data. Sorry if similar questions are asked here before. Simply map the table columns using equivalent HAWQ data types. If you use it Hive's Metastore server won't communicate properly with Presto and you'll get "does not exist" messages every time you try to access a table. Working with Hive and Parquet data Hunk's Data Preprocessors. Luckily that Hive provides two easy commands for us to do it. Most people looking to bring external data into Hadoop, do so through flat-file exports that they then import into HDFS. PARQUET is a columnar store that gives us advantages for storing and scanning data. Hive supports creating external tables pointing to gzipped files and its relatively easy to convert these external tables to Parquet and load it to Google Cloud Storage bucket. Hive RCFile. SQOOP-2400: hive. If you are running an older version of Hive, you must first issue an explicit PROC SQL with a CREATE TABLE statement to create the table structure in Hive. Increase Scenario Internal id Sequence Using ODI SDK Exporting local file to hive table in ODI. I then successfully created an external table so that I can query using:. Apache Spark is a modern processing engine that is focused on in-memory processing. DeprecatedParquetInputFormat' outputformat 'parquet. 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. Load Data into different Cluster of Targets of Redshift using IICS. Using Hue or the HDFS command line, list the Parquet files that were saved by Spark SQL. EXPORT TO PARQUET always creates the output directory, even if the query produces zero rows. This operation exports raw Flex columns as binary data. In the following steps, we discuss the process of setting up Flexter Enterprise and running commands for XML parsing into Hive as Parquet tables. Using LOAD : The following lines are used create the Employee table in hive and then load the data from local file to hive table. 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. Sqoop Import and Export tables from Hive to Oracle Database Sunday, October 23, 2016 Rahul Hadoop 1 comment Exporting and Importing table data from Oracle database to Hive and vice-versa is one of the most common activities in the world of Hadoop. During a query, Spark SQL assumes that all TIMESTAMP values have been normalized this way and reflect dates and times in the UTC time zone. When a table is small, this integration can work well, but Hive on HBase will not perform well on large tables. You can use an OVER() clause to partition the data before export. Make sure Hive GCS configuration includes a fs. Internal Hive tables are stored in the Hive warehouse. I used pig to convert the incoming csv file to parquet format, then in hive, created the external table: create external table salestransactions. In this example, table name is user. 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. You want the parquet-hive-bundle jar in Maven Central. Hadoop data types in Hadoop-specific formats ( Parquet, Avro, ORC, RCFile) that were previously imported from Db2 Warehouse. This blog describes the best-practice approach in regards to the data ingestion from SQL Server into Hadoop. At the time, Parquet existed as both a spec and a reference implementation in Java. The case scenario is described as under: Single table ingestion (no joins) No partitioning; Complete data ingestion (trash old and replace new) Data stored in Parquet format; Pre-requisites. admin to create table, Hive Table Data Ingested in Parquet Format through Spark Shell. In addition, you will learn about Sqoop Export to migrate data effectively, and about Apache Flume to ingest data. Select the tables that you want to import. The section Apache Hive introduces Hive, alongside external and managed tables; working with different files, and Parquet and Avro—and more. A tool which exports a set of files from HDFS back to RDBMS. 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. Native Parquet support was added (HIVE-5783). Configuring Hive Connector. I am trying to load a data set into hive table using row format delimited fields terminated by ‘,’ but I noticed that some a text looks like “I love Man U\, Chelsea not playing well …” was terminated at “I love Man U” and “Chelsea not playing well” was passed into another field. What is CTAS Table in Hive? CTAS (Create Table As Select) is a special concept provided by Apache hive. Output Files. In Hive, the small table is defined by any table size smaller than hive. However, in CDH 5 vectorized query execution in Hive is only possible on ORC-formatted tables, which Cloudera recommends you do not use for overall compatibility with the CDH platform. Hive table Name "Hive_table" contains 3 columns (col1,col2,col3), data looks like as below. This is also known as a temporary table or a view. 13 and later. For example, if a Hive table is created using: hive > CREATE TABLE hive_parquet_table (fname string, lname string, custid int, acctbalance double) STORED AS. Exporting out of Hive into mysql in upsert mode My blogs on. This article provides the SQL to list table or partition locations from Hive Metastore. Compression and encoding. External Tables in SQL Server 2016 are used to set up the new Polybase feature with SQL Server. Athena uses this class when it needs to deserialize data stored in Parquet: org. "PARTITIONS" stores the information of Hive table partitions. When writing data to Parquet files, Hive treats all integer data types tinyint, smallint, int as int32. 2, that is hive step. Azure Databricks registers global tables either to the Azure Databricks Hive metastore or to an external Hive metastore. As a result Parquet columns set with Sqoop as timestamps are not compatible with Hive or Impala. engine behavior is to try 'pyarrow', falling back to 'fastparquet' if 'pyarrow' is unavailable. Powerupcloud Tech Blog Learn about Powerupcloud's tech stories in Cloud, Big Data & Artificial Intelligence fields. ParquetHiveSerDe. Yes, it is possible. This video contains rename, exchange partitions, external table partitions, Bucketing concepts. Exporting out of Hive into mysql in update mode C1. The CREATE EXTERNAL TABLE command does not move the data file. 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. Support for export out of HDFS is very limited. As we all know Hive uses a relational database for metastore. Hive Date Functions. Hive respects the serialization. We will use Hive on an EMR cluster to convert and persist that data back to S3. Alteryx can read and write data from these tables with the hive ODBC driver. 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. Native Parquet Support Hive 0. Later we will use Hive functionality to map the content of this folder to an external table:. Parquet is built from the ground up with complex nested data structures in mind, and uses the record shredding and assembly algorithm described in the Dremel paper. This blog describes the best-practice approach in regards to the data ingestion from SQL Server into Hadoop. But the cons are big as well – 1) Since Hive uses MapReduce to access Hadoop clusters, query overheads results in high latency. Support for export out of HDFS is very limited. The files are exported to Db2 Warehouse using the same process as exporting Hive tables. For example, if you have ORC or Parquet files in an ABFS file_system, you will need to execute a query:. Only one table is used in the examples, I have chosen to use the largest fact table: STORE_SALES. For example: create. and to Solved performance issues in Hive scripts with use of Joins, Group and. you can export your Hive table to SQL server, as shown in the. This tutorial on Hive introduces the concept of How to Export Output to Text File?, and Viewing the File. Resolved by introducing a new configuration parameter, store. Parquet library to use. Those that are using Hive tables with Parquet storage notice job errors during processing when the Hive schema changes. The default io. And we can load data into that table later. The project currently supports the following: HCatalog Metadata (for example, table location, columns, partitions) Multiple file formats (for example, Parquet, ORC, or RCFile). Parquet does not support date. dow u have an idea about export parquet format data in hive partitioned table to teradata table using teradata hadoop connector?. Sqoop was built to bring data into HDFS. Create a Job to Load Hive. Partitioning data can improve query performance by enabling partition pruning; see Improving Query Performance for Data Stored in HDFS. 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. When Hunk initializes a search for non-HDFS input data, it uses the information contained in Hunk's FileSplitGenerator class to determine how to split data for parallel processing. Internal Hive tables are stored in the Hive warehouse. Use None for no. To use Parquet with Hive 0. This behavior is controlled by the spark. How to Provide Compression Format for Table during Phoenix Export. When you create an external table in Greenplum Database for a Hive generated Parquet file, specify the column data type as int. 1 and HCatalog, a new Streaming API was released to support continuous data ingestion into Hive tables. Read the database name,table name, partition dates, output path from the file. 12 you must download the Parquet Hive package from the Parquet project. Sqoop export to hbase - Sqoop does not support Hbase export to any database. EXPORT TO PARQUET always creates the output directory, even if the query produces zero rows. Above code will create parquet files in input-parquet directory. To modify a table so that new partitions of the table are stored as ORC files: ALTER TABLE T SET FILEFORMAT ORC; As of Hive 0. convertMetastoreParquet configuration, and is turned on by default. Using HiveContext to read Hive Tables I just tried to use Spark HiveContext to use the tables in HiveMetastore. Write CSV data into Hive and Python Apache Hive is a high level SQL-like interface to Hadoop. The following example shows the syntax for a Parquet table created in Hive: hive> CREATE TABLE inv_hive ( trans_id int, product varchar(50), trans_dt date ) PARTITIONED BY ( year int) STORED AS PARQUET. Sources can be downloaded here. In the Export to Cloud Storage dialog: For Export format, choose the format for your exported data: CSV, JSON (Newline Delimited), or Avro. For example, if a Hive table is created using: hive > CREATE TABLE hive_parquet_table (fname string, lname string, custid int, acctbalance double) STORED AS. PolyBase supports the following file formats: Delimited Text. You can specify a control file (a file with data file metadata) against which the data file is validated. Parquet files provide a higher performance alternative. Rows in this table represent impressions, callbacks and auctions joined at transactions level. Note: Once you create a Parquet table this way in Hive, you can query it or insert into it through either Impala or Hive. Yes, it is possible. From Spark 2. 15,Bala,150000,35 Now We can use load statement like below. Additionally, it demonstrates how to use Alluxio as the caching layer for Presto queries. The PXF Hive profile supports both non-partitioned and partitioned Hive tables that use the Parquet storage format in HDFS. This example has been tested using the. Your Amazon Athena query performance improves if you convert your data into open source columnar formats, such as Apache Parquet or ORC. Enterprise Products, Solutions and Services for Enterprise. Create a Job to Load Hive. [Hive] Slow Loading Data Process with Parquet over 30k Partitions: Date: Thu, 09 Apr 2015 17:34:04 GMT: Hello Hive, I'm a developer using Hive to process TB level data, and I'm having some difficulty loading the data to table. */ public interface ColumnGenerator { /** For a row with id rowNum, what should we write into that Parquet record to export?. Extend this to Parquet as well. Also includes exporting hive tables to files. This is also known as a temporary table or a view. and an export of. To create an External Table, see CREATE EXTERNAL TABLE. Re: Sqoop export hive to Oracle fails: Date: Tue, 17 Mar 2015 15:00:35 GMT: It looks like for some reason Sqoop is trying to export your partition as if it was a Kite data set. To create a table named PARQUET_TABLE that uses the Parquet format, you would use a command like the following, substituting your own table name, column names, and data types: hive> CREATE TABLE parquet_table_name (x INT, y STRING) STORED AS PARQUET; Note:. join = true; One above property is set true ,during joins if the table size is less than 25 MB(hive. Notes on the Hive Generated Parquet Schema. Expected output : CSV File with comma delimiter and header. What is CTAS Table in Hive? CTAS (Create Table As Select) is a special concept provided by Apache hive. What is sqoop export. When writing data to Parquet files, Hive treats all integer data types tinyint, smallint, int as int32. Parquet File Extension. You have comma separated(CSV) file and you want to create Parquet table in hive on top of it, then follow below mentioned steps. - Create a Hive table (ontime) - Map the ontime table to the CSV data - Create a Hive table ontime_parquet and specify the format as Parquet - Move the table from the ontime table to the ontime_parquet table In the previous blog, we have seen how to convert CSV into Parquet using Hive. By creating an External File Format, you specify the actual layout of the data referenced by an external table. To work with Hive, we have to instantiate SparkSession with Hive support, including connectivity to a persistent Hive metastore, support for Hive serdes, and Hive user-defined functions if we are using Spark 2. ${hive_table} STORED AS PARQUET TBLPROPERTIES ('PARQUET. Expected output : CSV File with comma delimiter and header. Import lists all tables in the Hive database. For details about Hive support, see Apache Hive Compatibility. 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 PXF Hive profile supports both non-partitioned and partitioned Hive tables that use the Parquet storage format in HDFS. Re: Sqoop export hive to Oracle fails: Date: Tue, 17 Mar 2015 15:00:35 GMT: It looks like for some reason Sqoop is trying to export your partition as if it was a Kite data set. This class is appropriate for Business Analysts, IT Architects, Technical Managers and Developers. DeprecatedParquetInputFormat' outputformat 'parquet. Then you can use Sqoop export to copy that data to an Oracle table. Hi Cathy, Thank You for your response, it's working fine now i have just added -Dsqoop.