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Querying Staged ORC Files in Stage

Syntax

SELECT [<alias>.]<column> [, <column> ...]
FROM {@<stage_name>[/<path>] [<table_alias>] | '<uri>' [<table_alias>]}
[(
[<connection_parameters>],
[ PATTERN => '<regex_pattern>'],
[ FILE_FORMAT => 'ORC | <custom_format_name>'],
[ FILES => ( '<file_name>' [ , '<file_name>' ] [ , ... ] ) ]
)]
Tips

ORC has schema information, so we can query the columns <column> [, <column> ...] directly.

Tutorial

In this tutorial, we will walk you through the process of downloading the Iris dataset in ORC format, uploading it to an Amazon S3 bucket, creating an external stage, and querying the data directly from the ORC file.

1

Download Iris Dataset

Download the iris dataset from https://github.com/tensorflow/io/raw/master/tests/test_orc/iris.orc then upload it to your Amazon S3 bucket.

The iris dataset contains 3 classes of 50 instances each, where each class refers to a type of iris plant. It has 4 attributes: (1) sepal length, (2) sepal width, (3) petal length, (4) petal width, and the last column contains the class label.

2

Create External Stage

Create an external stage with your Amazon S3 bucket where your iris dataset file is stored.

CREATE STAGE orc_query_stage
URL = 's3://databend-doc'
CONNECTION = (
AWS_KEY_ID = '<your-key-id>',
AWS_SECRET_KEY = '<your-secret-key>'
);
3

Query ORC File

SELECT *
FROM @orc_query_stage
(
FILE_FORMAT => 'orc',
PATTERN => '.*[.]orc'
);

┌──────────────────────────────────────────────────────────────────────────────────────────────────┐
│ sepal_length │ sepal_width │ petal_length │ petal_width │ species │
├───────────────────┼───────────────────┼───────────────────┼───────────────────┼──────────────────┤
5.13.51.40.2 │ setosa │
│ · │ · │ · │ · │ · │
5.935.11.8 │ virginica │
└──────────────────────────────────────────────────────────────────────────────────────────────────┘

You can also query the remote ORC file directly:

SELECT
*
FROM
'https://github.com/tensorflow/io/raw/master/tests/test_orc/iris.orc' (file_format => 'orc');
4

Query with Metadata

Query ORC files directly from a stage, including metadata columns like METADATA$FILENAME and METADATA$FILE_ROW_NUMBER:

SELECT
METADATA$FILENAME,
METADATA$FILE_ROW_NUMBER,
*
FROM @orc_query_stage
(
FILE_FORMAT => 'orc',
PATTERN => '.*[.]orc'
);
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