![]() So I would rather drop the table and restart the ETL than be changing data types and column orders in this convoluted way. Well, this is a big table and copying the data would be equivalent to just restarting the ETL process I have running to feed the table from the beggining. In order to keep the same order, the only way I found to do this is to create a new table (or to load it to S3) and reload the data by creating the new table with the columns in the right order. You can't run ALTER TABLE on an external table within a transaction block (BEGIN. The change column type function allows the user to choose a new type, a new length, and a new scale if appropriate for the data type chosen. This command updates the values and properties set by CREATE TABLE or CREATE EXTERNAL TABLE. When I run: alter table schema.tablename alter colu. This command changes the definition of a Amazon Redshift table or Amazon Redshift Spectrum external table. I've already checked and the strings are all numbers so it should force fine. I want to keep the old order, otherwise it breaks the ETL I have running (I know I could be forcing the new order there, but I want to keep the order consistent across all steps). I'm trying to change a column in Redshift from varchar to integer. All good, except that Redshift does not allow me to create the new column in the right position, it defaults to put it at the end of the table. ![]() The way I found on the web to do this is to 1) create a new column, 2) drop the old one and 3) rename the new one to match the old name. ![]() I have a Redshift table with bool types that I want to convert to integers (due to business restrictions). The size is an attribute of the data type. Use the DATE or TIMESTAMP data type, depending on the resolution you need, rather than a character type when storing date/time information. If you're posting a technical query, please include the following details, so that we can help you more efficiently:ĭoes this sidebar need an addition or correction? Tell us here Creates one or more columns that have the specified names, data types, and character limits. Amazon Redshift stores DATE and TIMESTAMP data more efficiently than CHAR or VARCHAR, which results in better query performance. public IP addresses or hostnames, account numbers, email addresses) before posting! ✻ Smokey says: switch off all aesthetic lighting to fight climate change! One of its columns is a varchar(255) and I would like to resize it to a varchar(40). ![]() Note: ensure to redact or obfuscate all confidential or identifying information (eg. I have a question about the ALTER TABLE command on a really large table (almost 30 millions rows). This query will give you the size (MB) of each column. IF (select max (LEN (colName)) from tblName) 60 BEGIN ALTER TABLE tblName ALTER COLUMN colName nvarchar (140) NOT NULL END GO. News, articles and tools covering Amazon Web Services (AWS), including S3, EC2, SQS, RDS, DynamoDB, IAM, CloudFormation, AWS-CDK, Route 53, CloudFront, Lambda, VPC, Cloudwatch, Glacier and more. ![]()
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