S3 Select

Owned by Cindy Hall, created
Last updated: Nov 30, 2022
8 min read

In this article

Overview

You can use this Snap to execute a SELECT query on CSV, JSON, and Parquet S3 objects, which may be compressed in GZIP or BZIP2 format.

AWS S3 does not define any folder object and the '/' characters are part of the S3 object key names.

S3 Select Snap settings

 

Snap Type

The S3 Select Snap is a Read-type Snap that reads a subset of your S3 data based on a SELECT query.

Prerequisites

A valid S3 account with the required permissions.

Support for Ultra Pipelines

Works in Ultra Pipelines. 

Limitations

The conditional fields Field Delimiter, Record Delimiter, Quote Character, Quote Escape Character, and File Header Info associated with the CSV Data Format are not displayed for non-CSV data formats. They are also not displayed if the Data Format field is expression-enabled. If you plan to make the Data Format expression-enabled to process the CSV-related properties, follow these steps:

  1. Set CSV as the Data Format.

  2. Configure the conditional fields.

  3. Enable the expression.

You must follow these steps because the values of these properties are used during the execution only if the value of the Data Format is set to CSV, even when the associated conditional fields are not displayed.

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: 0

  • Max: 1

  • Mapper

  • JSON Parser

An upstream Snap is optional. Any document with key-value pairs to evaluate expression properties.

Output

Binary

 

  • Min: 0

  • Max: 1

  • CSV Parser

  • JSON Parser

  • Mapper (binary input view)

  • File Writer

An example of the output binary data is as following:

Output preview of table containing preview in text format

 

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 while 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 fieldset.

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

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

Field Name

Field Type

Field Dependency

Description

Field Name

Field Type

Field Dependency

Description

Label*

Default Value: S3 Select
Example: Select Invoices from Q4 2018

String

None

 

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.

Bucket*

Default Value: None
Example:

String/Expression/Suggestion

None

Specify the S3 bucket name where S3 objects are located.

Do not add S3:/// before bucket name, because the Snap can fail.

Object Key*

Default Value: None
Examples: 

  • test.csv

  • abc/test.json

  • abc/xyz/test.xml

String/Expression/Suggestion

 

None

Specify the S3 object key name, which may include one or more forward-slash ('/') characters.

Select Query*

Default Value: None
Example: select * from S3Object

String/Expression

None

Enter a SELECT query to be executed on the S3 object. For a detailed description on using the SELECT command, refer to the Amazon documentation: https://docs.aws.amazon.com/AmazonS3/latest/userguide/s3-glacier-select-sql-reference-select.html

Input Data Format

 

Compression Type*

Default Value: None
Example: GZIP

String/Expression/Dropdown list


None

Select one of the following compression types: NONE, GZIP, or BZIP2.

Data format*

Default Value: CSV
Examples: JSON

String/Expression/Dropdown list

None

Select one of the data formats for the input data: CSV, JSON or Parquet.

Field Delimiter

Default Value: , (Comma)
Examples: 

  • | (Pipe)

  • \t (tab)

String/Expression

Appears when you select CSV for Data Format.

Enter the field delimiter character used in the input data.

Record Delimiter

Default Value: LF (new line)
Examples: CRLF

String/Expression/Suggestion

Appears when you select CSV for Data Format.

Enter the record delimiter used in the input data.

Quote Character

Default Value: " (double quote)
Example: ' (single quote)

String/Expression

Appears when you select CSV for Data Format.

Enter the quote character used in the input data.

Quote Escape Character

Default Value: \
Example: "

String/Expression

Appears when you select CSV for Data Format.

Enter the escape character used to escape quote characters inside the values, where values are wrapped around quote characters in the input data. Note that some CSV file uses double quote character to escape double quotes inside values. For example, "He said ""Yes""", which means: He said "Yes" when it is parsed.

File Header Info

Default Value: USE
Examples: 

  • NONE

  • IGNORE

Dropdown list

Appears when you select CSV for Data Format.

Specify whether to use the header information in the SELECT query.

Show Advanced Properties

Default Value: Deselected

Checkbox

None

Select this checkbox to display the advanced properties.
Deselect this checkbox to hide the properties.

Maximum Retries*

Default Value: 3
Example: 2

Integer/Expression

Appears when you select Show Advanced Properties checkbox.

Specify the maximum number of retry attempts to perform in case of a temporary network loss.

Snap Execution

Default Value: 
Example: Validate & Execute

Dropdown list

None

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.

Examples

Selecting a Subset of Data from an Amazon S3 Object (CSV file)

This example Pipeline demonstrates how to use the Amazon S3 Select Snap to select a subset of data from a CSV file.

Prerequisites: A valid AWS S3 Account

In this example we take a CSV file and use S3 Select to output different subsets of the data.

Overview of steps:

  • Upload a single CSV file to the S3 object using the CSV Generator Snap.

  • Format the file using the CSV Formatter Snap.

  • Upload the file using the S3 Upload Snap.

  • Copy the output of the S3 Upload Snap to 4 different flows using the S3 Copy Snap.

  • Select a subset of the data using the S3 Select Snap.

  1. Configure the CSV Generator Snap to generate a new CSV document for the downstream Snap in the Pipeline.

     

  2. Configure the CSV Formatter Snap to format the data as specified in the Snap's settings.

     

  3. Configure the S3 Upload Snap to upload the S3 object (select/demo.csv) object to the S3 object bucket.

     

  4. Use the Copy Snap to send the same information to multiple endpoints. Configure the Copy Snap to copy the S3 object document stream to the Snap's output views. In this example we configured four different output views.

     

  5. Configure the S3 Select Snap to select a subset of the data from the S3 object. On validation, the Snap retrieves the data based on the SELECT statement.

    Under Settings, expand the Input Data Format section to select options for File Header Info. This is where you specify whether to use the header information in the SELECT statement.

     

  6. Add a CSV Parser Snap after each S3 Select Snap to read the CSV binary data from its input view, parse it, and then write it to its output view.
    In this example we configured different output views that use different settings for File Header Info:

    1. Output 1: USE means the header data is used in the SELECT statement. In this example we are referencing a column name in the header (variety = 'Setosa').
      SELECT * FROM s3Object s WHERE s.variety = 'Setosa'

       

    2. Output 2: IGNORE means the header data is ignored in the SELECT statement. Here, we are using a column index instead of the column name to refer to the same column in the header (s._5 = 'Setosa').
      SELECT * FROM s3Object s WHERE s._5 = 'Setosa'

       

    3. Output 3: NONE means there is no header data in the SELECT statement.
      SELECT * FROM s3Object s

       

Download this Pipeline.

Selecting a Subset of Data from an Amazon S3 Object (JSON file)

This example Pipeline demonstrates how to use the Amazon S3 Select Snap to select a subset of data from a JSON file.

Prerequisites: A valid AWS S3 Account

In this example we take a JSON file and use S3 Select to select a subset of the data (in this case, employees from the Sales department).

Overview of steps:

  • Upload a single JSON file to the S3 object using the JSON Generator Snap.

  • Format the file using the JSON Formatter Snap.

  • Upload the file using the S3 Upload Snap.

  • Select a subset of the data using the S3 Select Snap.

  • Use the JSON Parser Snap to read the JSON binary data from its input view, parse it, and then write it to its output view.

  1. Use the JSON Generator Snap to generate a new JSON document for the next Snap in the Pipeline.

  2. Configure the JSON Formatter Snap to format the data as specified in the Snap's settings.

  3. Configure the S3 Upload Snap to upload the S3 object (employees.json) to the S3 object bucket.

     

  4. Configure the S3 Select Snap to select a subset of the data from the S3 object (in this case, we are selecting employees from the Sales department). On validation, the Snap retrieves the data based on the SELECT statement.

     

  5. Use the JSON Parser Snap to read the JSON binary data from its input view, parse it, and then write it to its output view.
    The output shows the list of employees from the Sales department.

     

 

Download this Pipeline.

Downloads

 

  File Modified

File S3 Select Example - JSON.slp

Nov 11, 2022 by Cindy Hall

File S3 Select Example - CSV.slp

Nov 11, 2022 by Cindy Hall

Snap Pack History

 

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