Data Field Types in Datameer

When importing data into Datameer, it is important to know which type of data you are importing or need to import. When using your data within workbooks, certain Datameer functions only work with certain types of data. Congruently, certain functions return only a specific type of data.
Also there are data requirements when using infographic widgets to visualize your data.

Data Field Types

Field type	Product icon	Description	Internal representation

Field type	Product icon	Description	Internal representation
integer	Open	64-Bit integer value	Java Long
big integer	Open	Unlimited integer value	Java BigInteger
float	Open	64-Bit float value	Java Double
big decimal	Open	High-precision float value	Java BigDecimal
date	Open	Date object	Java Date
string	Open	String object	Java String
boolean	Open	Boolean object	Java Boolean
list	Open	a collection of multiple values of one data type
number	Open	float, big decimal, integer, or big integer
any	Open	float, big decimal, integer, big integer, date, string, list, or Boolean

Integer

In mathematics integers (aka whole numbers) are made up of the set of natural numbers including zero (0,1,2,3, ...) along with the negatives of natural numbers (-1,-2,-3, ...). When talking about Integers in computer programming, it is necessary to define a minimum and maximum value. Datameer uses a 64-bit integer which allows the user to represent whole numbers between -9,223,372,036,854,775,808 to 9,223,372,036,854,775,807.

Big integer

Big integers are like integers, but they are not limited to 64 bits. They are represented using arbitrary-precision arithmetic. Big integers represent only whole numbers. Big integers in Datameer are treated differently than in Hive because Datameer allows a larger range of values, so they are written as strings into a Hive table if you export.  By default, the precision for big integers is set at 32 upon import. This can updated if needed in the default properties by changing the value of das.big-decimal.precision=. 

Float

In mathematics, there are real numbers that represent fractions (1/2, 12/68) or numbers with decimal places (12.75, -18.35). Datameer uses double precision floating-point representation (aka float) to manipulate and represent real numbers. The complete range of numbers that can be represented this way is approximately 2 ^-1022 through (1+(1-2 ^-52))x2 ¹⁰²³. During import/upload, Datameer automatically recognizes a number with either a single period (.) or single comma (,) as a decimal separator and defines this data as a float data type. After ingestion, Datameer stores float and big decimal values using a period (.) character. The auto schema detection for the float data type works with CSV, JSON, XML, Key/value files. 

Big decimal

Big decimals are similar to float values. The main advantage of this data field type is that they are exact to the number of decimal places for which they are configured, float values might be inaccurate in certain cases. If a number has more decimal places than big decimal was configured for, then the number is rounded. The number of decimal places can be configured in conf/default.properties:

32 digits is the default precision used by Datameer for big decimal values upon import.

Date

In Datameer, data in the DATE primitive data type is always represented in a Gregorian, month-day-year (MDY) format (e.g., "Sep 16, 2010 02:56:39 PM"). Datameer detects if your data should be parsed into the DATE data type during ingest. This can also be done after ingest as other data types can be converted to the DATE primitive data type using workbook functions.

String

When using information other than numbers or dates in Datameer, it is represented as a string. This includes text, unparsed date patterns, URLs, JSON arrays, etc.

Boolean

Boolean data in computing has two values, either true or false. It is used in many logical expressions and is derived from Boolean algebra created by George Boole in the 19th century.

List

In Datameer multiple values can be combined into a list. Lists are a series of values of a single data type, which starts counting from zero (0).

Number

In Datameer integers, big integers, floats, and big decimals are considered to be numbers.

Any

Some visualizations and functions are able to use data represented by any data field type. These can be either a number, a string, a date, or a Boolean.

Data Mapping in Avro

Import mapping

When importing data to Datameer, data types are mapped as follows:

Export mapping

When exporting data to Avro, data types are mapped as follows:

Data Mapping in Parquet

Export data mapping

When exporting data to Parquet, data types are mapped as follows:

Import data mapping

When importing data from Parquet, data types are mapped as follows:

Parquet files using the INT96 format are interpreted as time stamps. Datameer accepts these columns, but cuts off the nanoseconds. If the workbook has Ignore Errors enabled, then those error messages are stored in a separate column and the column with the error is NULL. The chart below provides additional Parquet storage mapping details.