MOBILE LOCATION DATA RESOURCES
TECH DOCS Cross Account Bucket Access - AWS Integration Create a Database, Table and Partition How To Run Basic Location Data Queries
PUBLISHER SOLUTIONS Consent Management Knowledge Base
|
The following guide will show you how to 'Create a database, table and partition' with AWS
Pre-requisites:
1) Bucket created in Amazon S3.
2) Data pushed inside the bucket.
Step1: Create Database
Create Athena Database using the following code:
CREATE DATABASE <your-dbname>
Create a table using the following code, replace <your-s3-bucket-names>
with your bucket name (in yellow highlights).
CREATE EXTERNAL TABLE <your-dbname>.<table-name> (
`device_id` string,
`id_type` string,
`latitude` float,
`longitude` float,
`horizontal_accuracy` float,
`timestamp` bigint,
`ip_address` string,
`device_os` string,
`os_version` string,
`user_agent` string,
`country_code` string,
`source_id` string,
`publisherid` string,
`app_id` string,
`location_context` string,
`geohash` string)
PARTITIONED BY (
`year` int,
`month` int,
`day` int)
ROW FORMAT DELIMITED
FIELDS TERMINATED BY ','
STORED AS INPUTFORMAT
'org.apache.hadoop.mapred.TextInputFormat'
OUTPUTFORMAT
'org.apache.hadoop.hive.ql.io.HiveIgnoreKeyTextOutputFormat'
LOCATION 's3://<your-s3-bucket-name>/'
TBLPROPERTIES (
'has_encrypted_data'='false',
'parquet.compression'='GZIP')
Partition table using the following codes:
ALTER TABLE <your-dbname>.<table-name> ADD IF NOT EXISTS PARTITION
(year=2019, month=12, day=1) location 's3://<your-s3-bucketname>/2019/12/01';
Note: The query has to be run daily. The above example is for 1 December 2019.
We hope that the above technical education piece helps you to create a database, table and partitions, if you need further information, contact us at support@quadrant.io
Main body text.