Parquet Formatter

In this article

Overview

You can use this Snap to both read the input document data and write the data in the binary (Parquet) format to the output.

parquet-formatter-overview.png

Snap Type

The Parquet Formatter Snap is a Format-type Snap.

Prerequisites

None.

Support for Ultra Pipelines

Does not work in Ultra Pipelines

Limitations and Known Issues

None.

Snap Views

Type

Format

Number of Views

Examples of Upstream and Downstream Snaps

Description

Type

Format

Number of Views

Examples of Upstream and Downstream Snaps

Description

Input 

Document

 

  • Min: 1

  • Max: 2

  • Mapper

  • Copy

Requires document data as input.

You can override the schema setting by inserting an object like this into the second input view.

Output

Binary

 

  • Min: 1

  • Max: 1

  • Parquet Writer

  • Parquet Parser

Writes the document data in the binary (Pprquet) format to the output.

Error

Error handling is a generic way to handle errors without losing data or failing the Snap execution. You can handle the errors that the Snap might encounter when running the pipeline by choosing one of the following options from the When errors occur list under the Views tab:

  • Stop Pipeline Execution: Stops the current pipeline execution if the Snap encounters an error.

  • Discard Error Data and Continue: Ignores the error, discards that record, and continues with the remaining records.

  • Route Error Data to Error View: Routes the error data to an error view without stopping the Snap execution.

Learn more about Error handling in Pipelines.

Snap Settings

  • Asterisk ( * ): Indicates a mandatory field.

  • Suggestion icon (): Indicates a list that is dynamically populated based on the configuration.

  • Expression icon ( ): Indicates the value is an expression (if enabled) or a static value (if disabled). Learn more about Using Expressions in SnapLogic.

  • Add icon ( ): Indicates that you can add fields in the field set.

  • Remove icon ( ): Indicates that you can remove fields from the field set.

  • Upload icon ( ): Indicates that you can upload files.

Field Name

Field Type

Description

Field Name

Field Type

Description

Label*

 

Default ValueParquet Formatter
ExampleTransform Parquet Formatter

String

Specify the name for the Snap. You can modify this to be more specific, especially if you have more than one of the same Snap in your pipeline.

 

Edit Schema

 

 

 

 

 

 

 

Button

Specify a valid Parquet schema that describes the data.  

The following is an example of a schema using all the primitive and some examples of logical types:

message document { # Primitive Types optional int64 32_num; optional int64 64_num; optional boolean truth; optional binary message; optional float pi; optional double e; optional int96 96_num; optional fixed_len_byte_array (1) one_byte; # Logical Types optional binary snowman (UTF8); optional int32 8_num (INT_8); optional int32 16_num (INT_16); optional int32 u8_num (UINT_8); optional int32 u16_num (UINT_16); optional int32 u32_num (UINT_32); optional int64 u64_num (UINT_64); optional int32 dec_num (DECIMAL(5,2)); optional int32 jan7 (DATE); optional int32 noon (TIME_MILLIS); optional int64 jan7_epoch (TIMESTAMP_MILLIS); optional binary embedded (JSON); }

"Generate template" does not support nested structures like MAP and LIST type.

Compression

 

 

 

 

Default Value: NONE

Example: SNAPPY

Dropdown list

Choose the type of compression to use when writing the file. The following are the available options:

  • NONE

  • SNAPPY

  • GZIP

 

Decimal rounding mode

 

Default Value: Half up

Example: Up

Dropdown list

Select the required rounding method for decimal values when they exceed the required number of decimal places. The following are the available options:

  • Half up

  • Half down

  • Half even

  • Up

  • Down

  • Ceiling

  • Floor

  • Truncate

Snap execution

Default ValueValidate & Execute
Example: Execute only

Dropdown list

Select one of the following three modes in which the Snap executes:

  • Validate & Execute: Performs limited execution of the Snap, and generates a data preview during pipeline validation. Subsequently, performs full execution of the Snap (unlimited records) during pipeline runtime.

  • Execute only: Performs full execution of the Snap during pipeline execution without generating preview data.

  • Disabled: Disables the Snap and all Snaps that are downstream from it.

Schema

{ "schema": "message document {\n optional binary AUTOSYNC_PRIMARYKEY (STRING);\n optional binary AUTOSYNC_VALUEHASH (STRING);\n optional binary AUTOSYNC_CURRENTRECORDFLAG (STRING);\n optional int64 AUTOSYNC_EFFECTIVEBEGINTIME (TIMESTAMP(MILLIS,true));\n optional int64 AUTOSYNC_EFFECTIVEENDTIME (TIMESTAMP(MILLIS,true));\n optional double ID1;\n optional binary ID2 (STRING);\n optional binary ID3 (STRING);\n optional binary ID4 (STRING);\n optional binary ID5 (STRING);\n optional binary ID6 (STRING);\n optional binary ID7 (STRING);\n optional binary ID8;\n optional double ID9;\n optional double ID10;\n optional double ID11;\n optional double ID12;\n optional double ID13;\n optional double ID14;\n optional int32 ID15 (DATE);\n optional int64 ID16 (TIMESTAMP(MILLIS,true));\n optional int64 ID17 (TIMESTAMP(MILLIS,true));\n optional int64 ID18 (TIMESTAMP(MILLIS,true));\n optional double ID100;\n}\n" }

Examples

Transform Document Data into Parquet Format and Vice Versa

This example demonstrates how to convert the input document data to parquet and parquet data back to document output.

parquet-formatter-parser-pipeline.png

Download this pipeline.

Step 1: Configure the JSON Generator Snap with input data.

Step 2: Configure the Parquet Formatter Snap with the schema for the input document data.

Step 3: Configure the Parquet Parser Snap. On validation, the Snap reverts the Parquet data to document data.

Parquet Parser Configuration

Parquet Parser Output

Parquet Parser Configuration

Parquet Parser Output

 

 

Downloads

  File Modified

File example-parquet-formatter-parser.slp

May 02, 2024 by Lakshmi Manda

Snap Pack History