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String functions process and manipulate character strings or expressions that evaluate to character strings. When the string argument in these functions is a literal value, it must be enclosed in single quotation marks. Supported data types include CHAR and VARCHAR. The following section provides the function names, syntax, and descriptions for ...
- CRC32 Function
The CRC32 function returns an 8-character string that is a...
- Bttext_Pattern_Cmp Function
Step 2: Add the Amazon Redshift cluster public key to the...
- Regexp_Replace Function
Searches a string for a regular expression pattern and...
- TEXTLEN Function
Synonym of LEN function. See LEN function. ...
- BPCHARCMP Function
Compares the value of two strings and returns an integer. If...
- CHAR_LENGTH Function
Step 2: Add the Amazon Redshift cluster public key to the...
- REPLICATE Function
Amazon Redshift Database Developer Guide. Contents not...
- REGEXP_COUNT Function
AWS Documentation Amazon Redshift Database Developer Guide....
- CRC32 Function
A pattern-matching operator searches a string for a pattern specified in the conditional expression and returns true or false depend on whether it finds a match. Amazon Redshift uses three methods for pattern matching: LIKE expressions.
The LIKE operator compares a string expression, such as a column name, with a pattern that uses the wildcard characters % (percent) and _ (underscore). LIKE pattern matching always covers the entire string. To match a sequence anywhere within a string, the pattern must start and end with a percent sign.
Geometry A contains geometry B if every point in B is a point in A, and their interiors have nonempty intersection. ST_Contains( A , B ) is equivalent to ST_Within( B , A ). Syntax
13 de sept. de 2022 · Redshift can store array data as a SUPER datatype. You can find into on using this datatype here - https://docs.aws.amazon.com/redshift/latest/dg/super-overview.html.
Amazon Redshift is based on PostgreSQL. Amazon Redshift and PostgreSQL have a number of very important differences that you must be aware of as you design and develop your data warehouse applications. For more information about how Amazon Redshift SQL differs from PostgreSQL, see Amazon Redshift and PostgreSQL. Discover highly rated pages.
Amazon Redshift is a fast, fully managed, petabyte-scale data warehouse service that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools.
