hive script create table

How to run Hive queries using shell script .sh file - Hive_SH.hql. Your email address will not be published. Cluster is kerbrose, sentry and hs2 enabled for load balancer, Find and share helpful community-sourced technical articles. When you use Create a Data Set in the Transformation Editor, your transformation script is applied to the source Hive table your project data set was created from. SHOW CREATE TABLE table_name This command will print the create table DDL statement to the console along with additional information such as the location of your table. When we run hive scripts, such as Load data into Hive table, we often need to pass parameters to the hive scripts by defining our own variables. Description: I have written a bash script to validate the data and loaded validated data from local file system to HDFS. One of the Show statement is Show create table which is used to get the create table statement for the existing Hive table.eval(ez_write_tag([[580,400],'revisitclass_com-medrectangle-3','ezslot_3',118,'0','0'])); Show Create Table which generates and shows the Create table statement for the given table. https://github.com/sourygnahtw/hadoopUtils/blob/master/scripts/hive/validationHiveTablesLinuxMode.sh, Sqoop: fetching lot of tables in parallel, Re: Create a Hive Script to Validate Tables, [ANNOUNCE] New Cloudera ODBC 2.6.12 Driver for Apache Impala Released, [ANNOUNCE] New Cloudera JDBC 2.6.20 Driver for Apache Impala Released, Transition to private repositories for CDH, HDP and HDF, [ANNOUNCE] New Applied ML Research from Cloudera Fast Forward: Few-Shot Text Classification, [ANNOUNCE] New JDBC 2.6.13 Driver for Apache Hive Released. The easiest way to do it is to get directly the DDL from the table to validate: "use sot; create table footable like bardatabase.footable;" . My current project is the typical Hadoop project that consists of offloading a ETL process currently done in a relational database (SQLserver) to a Hadoop process. Create Database Statement. Internal table are like normal database table … Let's suppose that we now have 3 tables to validate: table1, table2 and table3. I want to create a managed or internal table in Hive. A database in Hive is a namespace or a collection of tables. If the script has found some errors, you can get more information by executing the "vimdiff" command that is shown on the standard output. Should we do this, then the script would show 100% of rows in error for table2. ‎08-17-2019 Further analysis will only be done against that Hive database (requisite 1), With Hive, the script does an "INSERT OVERWRITE" of both tables ("source of truth" & results) to the Linux filesystem (current problem: everything is done on the edge node: that does not scale...), during the Hive "insert overwrite" command, we can remove columns (requisite 3), wc -l : to see if the number of rows match, divide large file/tables into chunks, to make vimdiff faster (requisite 7 a bit covered). That involves rewriting all the (many) SQL queries in the ETL process to HiveQL queries. Hive contains a default database named default. This case study describes creation of internal table, loading data in it, creating views, indexes and dropping table on weather data. There are 2 types of tables in Hive, Internal and External. 1. Open a terminal in your Cloudera CDH4 distribution and give the below command to create a Hive Script. Sqoop the table from the relational database. So we need to sqoop it to Hive: Create in Hive the "source-of-truth" database. Partitioning is the way to dividing the table based on the key columns and organize the records in a partitioned manner. ]table_name (col_name data_type [COMMENT 'col_comment'],, ...) [COMMENT 'table_comment'] [ROW FORMAT row_format] [FIELDS TERMINATED BY char] [STORED AS file_format]; Follow the steps below to create a table in Hive. The script keeps track of all your validation activities in the baseDir directory. Amazon S3 considerations: Your email address will not be published. ]table_name (col_name data_type [COMMENT 'col_comment'],, ...) [PARTITIONED BY (col_name data_type [COMMENT 'col_comment'], ...)] [COMMENT 'table_comment'] [ROW FORMAT row_format] [FIELDS TERMINATED BY char] [LINES TERMINATED BY char] [LOCATION 'hdfs_path'] … Examples such as the following shell commands may (inefficiently) be used to set variables within a script: ... \ create table if not exists b (col int); describe ${hiveconf:a}' results in: Each column in this list must be separated by a "," (and if you have the bad luck to have some columns whose names have some spaces, substitute the spaces by "."). The script does not provide any solution to cope that problem. What command should I use to do this? Simple Hive script #hive_script_example.hql CREATE DATABASE IF NOT EXISTS tutorial_db; USE tutorial_db; CREATE TABLE IF NOT EXISTS tutorial_db.hive_script_test ( id INT, technology String, type String ) ROW FORMAT delimited FIELDS TERMINATED BY '\t' STORED AS textfile; LOAD DATA LOCAL inpath '/path_to_script/hive_table_data.txt' OVERWRITE INTO TABLE tutorial_db.hive_script_test; Hive is a popular open source data warehouse system built on Apache Hadoop. vimdiff can takes some time if the tables are big (I have mainly executed this script with 64GB of RAM in the server) so you might need to decrease that number if it takes too much time. Required fields are marked *, 'org.apache.hadoop.mapred.TextInputFormat', 'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'. Create an internal table with the same schema as the external table in step 1, with the same field delimiter, and store the Hive data in the ORC format. And not only the differences but the whole row where the difference appeared and also some "good" rows. Learning Computer Science and Programming, Write an article about any topics in Teradata/Hive and send it to When you have a hive table, you may want to check its delimiter or detailed information such as Schema. Created on Create table as select. Here is an example syntax for creating a Hive table corresponding to a physical H2 database table. I want to create hive table whose columns should be coming from this text file. One of the Show statement is Show create table which is used to get the create table statement for the existing Hive table. CREATE TABLE LIKE statement will create an empty table as the same schema of the source table. (does the customer pay less licenses and hardware with this new workflow?). few things i am trying to modify and its not working for me. Let's show the result of a similar basic execution: The first line on the standard output describes the comparison performed by the script (this helps when you want to have the script validating many tables). table_name [(col_name data_type [COMMENT col_comment], ...)] [COMMENT table_comment] [ROW FORMAT row_format] [STORED AS file_format] Example. big-data; hive; hadoop; Dec 14, 2018 in Big Data Hadoop by slayer • 29,300 points • 2,676 views. The keyword " default " can be … Ensure that the sqoop process has no error. So for those columns you might see a lot of "small rounding differences". The screen is separated in 2 parts: above you can see the data of the "orig" source-of-truth table, and below the data of the Hive generated table. The first row in the result table (the line with the Null (\N) characters and the "Manual" values) is totally in red. Some criteria of success for such project are: So, getting sure that the HiveQL queries written in such ETL offloading project is a key subject. The purpose of the script is to compare one Hive table with another, typically to validate a table generated by a Hive transformation against a source-of-truth (sqooped) table. So it is important to get sure that you have enough space in the corresponding partition. To specify a database for the table, either issue the USE database_name statement prior to the CREATE TABLE statement (in Hive 0.6 and later) or qualify the table name with a database name (" database_name.table.name " in Hive 0.7 and later). ‎07-31-2018 The 6th line in the result table (which correspond to the 5th line) in the source-of-truth table is in pink. Let us assume you need to create a table named employee using CREATE TABLE statement. First get a source-of-truth "footable" table in another Hive database in the same Hadoop cluster. That means that this line exists in both table but that it has some differences. Recently I have developed a new program that allows to do the same (Hive comparisons) in a much more efficient way (totally scalable, better visualization of the differences, skew consideration etc). the file globalReport: that lists the validations that have been performed for that couple of database (which day/time, which arguments, results). How can i do it ? The content of that directory is: tmp directory, where you find the Hive commands executed and its logs, orig and result directories, to store the compressed data of the tables (if both table are identical, the script then deletes the data in the result directory), orig.old and result.old directories, to store the compressed data of the tables of the precedent validation (the script only keeps 1 "backup"). Due to the high number of columns in each table and the number of rows (and also the fact that I already wear glasses...), this approach was quite limited. Imagine the data in TBs, even few hundred GBs can make the whole script go nuts. (does the customer pay less licenses and hardware with this n… Tablename should be employee and the fields should be name and salary. That's a very neat script. If we are not specifying the location at the time of table creation, we can load the data manually Let's suppose that we want to validate the table "footable" and that this table is in the Hive database "bardatabase". In each of those subdirectories, you will find: Created on [email protected]. If such, I then execute another time the validation script on the same table, excluding the columns with those numerical values I have manually checked.

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