Literals

Each of the Impala data types has corresponding notation for literal values of that type. You specify literal values in SQL statements, such as in the SELECT list or WHERE clause of a query, or as an argument to a function call. See for a complete list of types, ranges, and conversion rules.

Numeric Literals

To write literals for the integer types (TINYINT, SMALLINT, INT, and BIGINT), use a sequence of digits with optional leading zeros.

To write literals for the floating-point types (DECIMAL, FLOAT, and DOUBLE), use a sequence of digits with an optional decimal point (. character). To preserve accuracy during arithmetic expressions, Impala interprets floating-point literals as the DECIMAL type with the smallest appropriate precision and scale, until required by the context to convert the result to FLOAT or DOUBLE.

Integer values are promoted to floating-point when necessary, based on the context.

You can also use exponential notation by including an e character. For example, 1e6 is 1 times 10 to the power of 6 (1 million). A number in exponential notation is always interpreted as floating-point.

When Impala encounters a numeric literal, it considers the type to be the smallest that can accurately represent the value. The type is promoted to larger or more accurate types if necessary, based on subsequent parts of an expression.

For example, you can see by the types Impala defines for the following table columns how it interprets the corresponding numeric literals:

[localhost:21000] > create table ten as select 10 as x; +-------------------+ | summary | +-------------------+ | Inserted 1 row(s) | +-------------------+ [localhost:21000] > desc ten; +------+---------+---------+ | name | type | comment | +------+---------+---------+ | x | tinyint | | +------+---------+---------+ [localhost:21000] > create table four_k as select 4096 as x; +-------------------+ | summary | +-------------------+ | Inserted 1 row(s) | +-------------------+ [localhost:21000] > desc four_k; +------+----------+---------+ | name | type | comment | +------+----------+---------+ | x | smallint | | +------+----------+---------+ [localhost:21000] > create table one_point_five as select 1.5 as x; +-------------------+ | summary | +-------------------+ | Inserted 1 row(s) | +-------------------+ [localhost:21000] > desc one_point_five; +------+--------------+---------+ | name | type | comment | +------+--------------+---------+ | x | decimal(2,1) | | +------+--------------+---------+ [localhost:21000] > create table one_point_three_three_three as select 1.333 as x; +-------------------+ | summary | +-------------------+ | Inserted 1 row(s) | +-------------------+ [localhost:21000] > desc one_point_three_three_three; +------+--------------+---------+ | name | type | comment | +------+--------------+---------+ | x | decimal(4,3) | | +------+--------------+---------+
String Literals

String literals are quoted using either single or double quotation marks. You can use either kind of quotes for string literals, even both kinds for different literals within the same statement.

Quoted literals are considered to be of type STRING. To use quoted literals in contexts requiring a CHAR or VARCHAR value, CAST() the literal to a CHAR or VARCHAR of the appropriate length.

Escaping special characters:

To encode special characters within a string literal, precede them with the backslash (\) escape character:

• \t represents a tab.
• \n represents a newline or linefeed. This might cause extra line breaks in impala-shell output.
• \r represents a carriage return. This might cause unusual formatting (making it appear that some content is overwritten) in impala-shell output.
• \b represents a backspace. This might cause unusual formatting (making it appear that some content is overwritten) in impala-shell output.
• \0 represents an ASCII nul character (not the same as a SQL NULL). This might not be visible in impala-shell output.
• \Z represents a DOS end-of-file character. This might not be visible in impala-shell output.
• \% and \_ can be used to escape wildcard characters within the string passed to the LIKE operator.
• \ followed by 3 octal digits represents the ASCII code of a single character; for example, \101 is ASCII 65, the character A.
• Use two consecutive backslashes (\\) to prevent the backslash from being interpreted as an escape character.
• Use the backslash to escape single or double quotation mark characters within a string literal, if the literal is enclosed by the same type of quotation mark.
• If the character following the \ does not represent the start of a recognized escape sequence, the character is passed through unchanged.

Quotes within quotes:

To include a single quotation character within a string value, enclose the literal with either single or double quotation marks, and optionally escape the single quote as a \' sequence. Earlier releases required escaping a single quote inside double quotes. Continue using escape sequences in this case if you also need to run your SQL code on older versions of Impala.

To include a double quotation character within a string value, enclose the literal with single quotation marks, no escaping is necessary in this case. Or, enclose the literal with double quotation marks and escape the double quote as a \" sequence.

[localhost:21000] > select "What\'s happening?" as single_within_double, > 'I\'m not sure.' as single_within_single, > "Homer wrote \"The Iliad\"." as double_within_double, > 'Homer also wrote "The Odyssey".' as double_within_single; +----------------------+----------------------+--------------------------+---------------------------------+ | single_within_double | single_within_single | double_within_double | double_within_single | +----------------------+----------------------+--------------------------+---------------------------------+ | What's happening? | I'm not sure. | Homer wrote "The Iliad". | Homer also wrote "The Odyssey". | +----------------------+----------------------+--------------------------+---------------------------------+

Field terminator character in CREATE TABLE:

impala-shell considerations:

When dealing with output that includes non-ASCII or non-printable characters such as linefeeds and backspaces, use the impala-shell options to save to a file, turn off pretty printing, or both rather than relying on how the output appears visually. See for a list of impala-shell options.

Boolean Literals

For BOOLEAN values, the literals are TRUE and FALSE, with no quotation marks and case-insensitive.

select true; select * from t1 where assertion = false; select case bool_col when true then 'yes' when false 'no' else 'null' end from t1; Timestamp Literals

You can also use INTERVAL expressions to add or subtract from timestamp literal values, such as CAST('1966‑07‑30' AS TIMESTAMP) + INTERVAL 5 YEARS + INTERVAL 3 DAYS. See for details.

Depending on your data pipeline, you might receive date and time data as text, in notation that does not exactly match the format for Impala TIMESTAMP literals. See for functions that can convert between a variety of string literals (including different field order, separators, and timezone notation) and equivalent TIMESTAMP or numeric values.

Date Literals

The DATE literals are in the form of DATE'YYYY-MM-DD'. For example, DATE '2013-01-01'

NULL

The notion of NULL values is familiar from all kinds of database systems, but each SQL dialect can have its own behavior and restrictions on NULL values. For Big Data processing, the precise semantics of NULL values are significant: any misunderstanding could lead to inaccurate results or misformatted data, that could be time-consuming to correct for large data sets.

• NULL is a different value than an empty string. The empty string is represented by a string literal with nothing inside, "" or ''.
• In a delimited text file, the NULL value is represented by the special token \N.
• When Impala inserts data into a partitioned table, and the value of one of the partitioning columns is NULL or the empty string, the data is placed in a special partition that holds only these two kinds of values. When these values are returned in a query, the result is NULL whether the value was originally NULL or an empty string. This behavior is compatible with the way Hive treats NULL values in partitioned tables. Hive does not allow empty strings as partition keys, and it returns a string value such as __HIVE_DEFAULT_PARTITION__ instead of NULL when such values are returned from a query. For example: create table t1 (i int) partitioned by (x int, y string); -- Select an INT column from another table, with all rows going into a special HDFS subdirectory -- named __HIVE_DEFAULT_PARTITION__. Depending on whether one or both of the partitioning keys -- are null, this special directory name occurs at different levels of the physical data directory -- for the table. insert into t1 partition(x=NULL, y=NULL) select c1 from some_other_table; insert into t1 partition(x, y=NULL) select c1, c2 from some_other_table; insert into t1 partition(x=NULL, y) select c1, c3 from some_other_table;
• There is no NOT NULL clause when defining a column to prevent NULL values in that column.
• There is no DEFAULT clause to specify a non-NULL default value.
• If an INSERT operation mentions some columns but not others, the unmentioned columns contain NULL for all inserted rows.
• Because the NULLS FIRST and NULLS LAST keywords are not currently available in Hive queries, any views you create using those keywords will not be available through Hive.

• In all other contexts besides sorting with ORDER BY, comparing a NULL to anything else returns NULL, making the comparison meaningless. For example, 10 > NULL produces NULL, 10 < NULL also produces NULL, 5 BETWEEN 1 AND NULL produces NULL, and so on.

Several built-in functions serve as shorthand for evaluating expressions and returning NULL, 0, or some other substitution value depending on the expression result: ifnull(), isnull(), nvl(), nullif(), nullifzero(), and zeroifnull(). See for details.

Columns in Kudu tables have an attribute that specifies whether or not they can contain NULL values. A column with a NULL attribute can contain nulls. A column with a NOT NULL attribute cannot contain any nulls, and an INSERT, UPDATE, or UPSERT statement will skip any row that attempts to store a null in a column designated as NOT NULL. Kudu tables default to the NULL setting for each column, except columns that are part of the primary key.

In addition to columns with the NOT NULL attribute, Kudu tables also have restrictions on NULL values in columns that are part of the primary key for a table. No column that is part of the primary key in a Kudu table can contain any NULL values.