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NOTE: The Trifacta® data types listed in this page reflect the raw data type of the converted column. Depending on the contents of the column, the Transformer Page may re-infer a different data type, when a dataset using this type of source is loaded.

Access/Read

When a Hive data type is imported, its JDBC data type is remapped according to the following table.

Tip: Data precision may be lost during conversion. You may want to generate min and max values and compute significant digits for values in your Hive tables and then compute the same in the Trifacta application.

Source Data TypeSupported?
Trifacta Data Type
Notes
arrayYArray 
bigintYInteger

NOTE: The Trifacta platform may infer bigint columns containing very large or very small values as String data type.If needed, you can disable type inference for individual schematized sources. For more information, see Import Data Page.

binaryYString 
booleanYBool 
charYString 
dateYDatetime 
decimalYDecimal 
doubleYDecimal 
floatYDecimal

NOTE: On import, some float columns may be interpreted as Integer data type in the Trifacta platform. To fix, you can explicitly set the column's data type to Decimal in the Transformer page.

intYInteger 
mapYObject 
smallintYInteger 
stringYString 
structYObject 
timestampYDatetime 
tinyintYInteger 
uniontypeN  
varcharYString 

Write/Publish

Create new table

NOTE: By default, the maximum length of values published to VARCHAR columns is 256 characters. As needed, this limit can be changed for multiple publication targets. For more information, see Configure Application Limits.

Trifacta Data Type
Hive Data TypeNotes
Stringstring 
Integerbigint

NOTE: The Trifacta platform may infer Integer columns containing very large or very small values as String data type. Before you publish, you should verify that your columns containing extreme values are interpreted as Integer type.You can import a target schema to assist in lining up your columns with the expected target. For more information, see Overview of Target Matching.

Decimaldouble 
Boolboolean 
DatetimeTimestamp/string (see Notes below)Target data type is based on the underlying data. Time zone information is retained.
Objectstring 
Arraystring 

Append to existing table

If you are publishing to a pre-existing table, the following data type conversions apply:

  • Columns: Trifacta data types
  • Rows: Target table data types

In any table cell, a Y indicates that the append operation for that data type mapping is supported.

NOTE: You cannot append to Hive map and array column types from Trifacta columns of Map and Array type, even if you imported data from this source.

 StringIntegerDatetimeBoolFloatMapArrayOut of Range error
CHARYYYYYYY 
VARCHARYYYYYYY 
STRINGYYYYYYY 
INT       NULL
BIGINT Y     n/a
TINYINT       NULL
SMALLINT       NULL
DECIMAL Y  Y  NULL
DOUBLE    Y  n/a
FLOAT       NULL
TIMESTAMP  Y     
BOOLEAN   Y    

Run Job

  • Columns in new tables created for output of Datetime columns are written with the Hive timestamp data type. These columns can be appended.
    • Before Release 4.2.1 of the Trifacta platform write Datetime columns as Hive string columns. Jobs that were first created in these releases and write to pre-existing tables continue to write Hive string columns.
    • A single job cannot write Datetime values to one table as string type and to another table as timestamp type. This type of job should be split into multiple types. The table schemas may require modification.
      • The above issue may appear as the following error when executing the job:

        Unable to publish due to datetime data type conflict in column XXXX

Ad-Hoc Publishing

  • When you export pre-generated results to Hive, all new tables created for Datetime column values continue to store String data type in Hive for Release 4.2.1. These columns can be appended with new String data. 
  • When you publish results from a job through the Export Results window to Hive, all Datetime column values are written as String type.
  • If you are appending to a timestamp column, the exported Datetime column must be in the following format: yyyy-MM-dd HH:mm:ss.xxxx

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