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Delta table with Varchar column vs string column

Hongbo
New Contributor III

Databricks support string data type. But I can still create delta table with varchar data type. Just wonder what is different between delta table with string and delta table with varchar:

-- delta table with string

CREATE TABLE persons(first_name STRING NOT NULL, last_name STRING NOT NULL, nickname STRING,
                       CONSTRAINT person_pk PRIMARY KEY (first_name, last_name)
                       );
-- delta table with varchar
CREATE TABLE persons(first_name STRING NOT NULL, last_name varchar(50) NOT NULL, nickname varchar(50),
                       CONSTRAINT person_pk PRIMARY KEY (first_name, last_name)
                       );
1 ACCEPTED SOLUTION

Accepted Solutions

erigaud
Honored Contributor

VARCHAR allows you to specify the size of the string expected in the column. 

This is useful when you know your column cannot exceed a set size (ie for a name, a code etc).

It is equivalent to a CHECK contraint on the size. Trying to insert a value that exceeds the size given results in the following error : 

com.databricks.sql.transaction.tahoe.schema.DeltaInvariantViolationException: Exceeds char/varchar type length limitation. Failed check: (isnull('last_name) OR (length('last_name) <= 50)).
 

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2 REPLIES 2

erigaud
Honored Contributor

VARCHAR allows you to specify the size of the string expected in the column. 

This is useful when you know your column cannot exceed a set size (ie for a name, a code etc).

It is equivalent to a CHECK contraint on the size. Trying to insert a value that exceeds the size given results in the following error : 

com.databricks.sql.transaction.tahoe.schema.DeltaInvariantViolationException: Exceeds char/varchar type length limitation. Failed check: (isnull('last_name) OR (length('last_name) <= 50)).
 

Thanks for the precision @erigaud !