![]() With partitioning, you can restrict Athena to specific partitions, thus reducing the amount of data scanned, lowering costs, and improving performance.Īthena uses Apache Hive–style data partitioning. Without a partition, Athena scans the entire table while executing queries. Partitioning dataĬustomers often store their data in time-series formats and need to query specific items within a day, month, or year. You now have the ability to query all the logs, without the need to set up any infrastructure or ETL. ![]() Run a simple query: SELECT * FROM elb_logs_raw_native WHERE elb_response_code = '200' LIMIT 100 Therefore, when you add more data under the prefix, e.g., a new month’s data, the table automatically grows. Note that table elb_logs_raw_native points towards the prefix s3://athena-examples/elb/raw/. You created a table on the data stored in Amazon S3 and you are now ready to query the data. ![]() You can interact with the catalog using DDL queries or through the console. It’s highly durable and requires no management. Athena has an internal data catalog used to store information about the tables, databases, and partitions. After the statement succeeds, the table and the schema appears in the data catalog (left pane). A regular expression is not required if you are processing CSV, TSV or JSON formats. You can also use Athena to query other data formats, such as JSON. You can specify any regular expression, which tells Athena how to interpret each row of the text. Note the regular expression specified in the CREATE TABLE statement. LOCATION 's3://athena-examples/elb/raw/' Copy and paste the following DDL statement in the Athena query editor to create a table.ĬREATE EXTERNAL TABLE IF NOT EXISTS elb_logs_raw_native ( You can create tables by writing the DDL statement on the query editor, or by using the wizard or JDBC driver. If you are familiar with Apache Hive, you may find creating tables on Athena to be familiar. There is a separate prefix for year, month, and date, with 2570 objects and 1 TB of data.
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