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100 partitions
- Athena has a limit of 100 partitions per CREATE TABLE AS SELECT (CTAS) query. Similarly, you can add a maximum of 100 partitions to a destination table with an INSERT INTO statement. If you exceed this limitation, you may receive the error message HIVE_TOO_MANY_OPEN_PARTITIONS: Exceeded limit of 100 open writers for partitions/buckets.
docs.aws.amazon.com/athena/latest/ug/ctas-insert-into.htmlUse CTAS and INSERT INTO to work around the 100 partition limit
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How do I use CTAs queries in Athena?
What is a CREATE TABLE as select (CTAs) query in Athena?
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Where does Athena store data files created by CTAs?
The following sections describe considerations and limitations to keep in mind when you use CREATE TABLE AS SELECT (CTAS) queries in Athena. Learn the CTAS query syntax. The CTAS query syntax differs from the syntax of CREATE [EXTERNAL] TABLE used for creating tables. See CREATE TABLE AS.
- CTAS
A CREATE TABLE AS SELECT (CTAS) query in Athena allows you...
- Considerations and Limitations
When running queries in Athena, keep in mind the following...
- CTAS
A CREATE TABLE AS SELECT (CTAS) query in Athena allows you to create a new table from the results of a query in one step, without repeatedly querying raw data sets.
When running queries in Athena, keep in mind the following considerations and limitations: Stored procedures – Stored procedures are not supported. Maximum number of partitions – The maximum number of partitions you can create with CREATE TABLE AS SELECT (CTAS) statements is 100. For information, see CREATE TABLE AS.
Sep 25, 2023 · Introduction: This document outlines the steps and considerations for implementing a proof of concept (POC) for partitioning a table using the Create Table As Select (CTAS) statement on AWS...
- Using Amazon Athena CTAS
- Before You Begin: Set Up CloudTrail For Querying with Athena
- Use Case 1: Optimizing For Repeated Queries by Reducing Dataset Size
- Use Case 2: Selecting A Smaller Number of Columns
- Use Case 3: Repartitioning An Existing Table
- Conclusion
The familiar CREATE TABLE statement creates an empty table. In contrast, the CTAS statement creates a new table containing the result of a SELECT query. The new table’s metadata is automatically added to the AWS Glue Data Catalog. The data files are stored in Amazon S3 at the designated location. When creating new tables using CTAS, you can include...
If you don’t already use Athena to query your AWS CloudTraildata, we recommend you set this up. To do so: 1. Open the CloudTrail console. 2. On the left side of the console, choose Event History. 3. At the top of the window, choose Run advanced queries in Amazon Athena. 4. Follow the setup wizard and create your Athena table. It takes some time for...
As with other AWS services, Athena uses AWS CloudTrail to track its API calls. In this use case, we use CloudTrail to provide an insight into our Athena usage. CloudTrail automatically publishes data in JSON format to S3. We use a CTAS statement to create a table with only 30 days of Athena API events, to remove all of the other API events that we ...
In this use case, I join the CloudTrail table with the S3 Inventory tablewhile only selecting specific columns relevant to my analysis. I use CTAS to generate a table from the results. The previous query example returns the last 30 days of S3 GetObject API events that were invoked by the Athena service. It adds the S3 object size and storage class ...
The third use case I want to highlight where CTAS can be of value is taking an existing unoptimized dataset, converting it to Apache ORC and partitioning it to better optimize for repeated queries. We’ll take the last 100 days of CloudTrail events and partition it by date. Notice that I’ve added a WITH clause following the CREATE TABLE keywords but...
In this post, we introduced CREATE TABLE AS SELECT (CTAS) in Amazon Athena. CTAS lets you create a new table from the result of a SELECT query. The new table can be stored in Parquet, ORC, Avro, JSON, and TEXTFILE formats. Additionally, the new table can be partitioned and bucketed for improved performance. We looked at how CTAS helps with three co...
A CREATE TABLE AS SELECT (CTAS) query creates a new table in Athena from the results of a SELECT statement from another query. Athena stores data files created by the CTAS statement in a specified location in Amazon S3.
Sep 26, 2023 · To work with the Amazon Athena, you need the following: AWS Credentials: You need an account to log in to AWS with your credentials. If you don't have an account, register for the free-tier account. Sample Data: For this tip, we will use the sample employee datasets from GitHub and query it using Amazon Athena.
