Retrieving Metadata

Why and What is Metadata?

Databend allows you to retrieve metadata from your data files using the INFER_SCHEMA function. This means you can extract column definitions from data files stored in internal or external stages. Retrieving metadata through the INFER_SCHEMA function provides a better understanding of the data structure, ensures data consistency, and enables automated data integration and analysis. The metadata for each column includes the following information:

• column_name: Indicates the name of the column.
• type: Indicates the data type of the column.
• nullable: Indicates whether the column allows null values.
• order_id: Represents the column's position in the table.

note

This feature is currently only available for the Parquet file format.

The syntax for INFER_SCHEMA is as follows. For more detailed information about this function, see INFER_SCHEMA.

INFER_SCHEMA(
  LOCATION => '{ internalStage | externalStage }'
  [ PATTERN => '<regex_pattern>']
)

Tutorial: Querying Column Definitions

In this tutorial, we will guide you through the process of uploading the sample file to an internal stage, querying the column definitions, and finally creating a table based on the staged file. Before you start, download and save the sample file

books.parquet

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to a local folder.

1. Create an internal stage named my_internal_stage:

CREATE STAGE my_internal_stage;

2. Stage the sample file using BendSQL:

root@localhost:8000/default> PUT fs:///Users/eric/Documents/books.parquet @my_internal_stage

PUT fs:///Users/eric/Documents/books.parquet @my_internal_stage

┌───────────────────────────────────────────────┐
│                 file                │  status │
│                String               │  String │
├─────────────────────────────────────┼─────────┤
│ /Users/eric/Documents/books.parquet │ SUCCESS │
└───────────────────────────────────────────────┘

3. Query the column definitions from the staged sample file:

SELECT * FROM INFER_SCHEMA(location => '@my_internal_stage/books.parquet');

---
column_name|type   |nullable|order_id|
-----------+-------+--------+--------+
title      |VARCHAR|       0|       0|
author     |VARCHAR|       0|       1|
date       |VARCHAR|       0|       2|

4. Create a table named mybooks based on the staged sample file:

CREATE TABLE mybooks AS SELECT * FROM @my_internal_stage/books.parquet;

Check the created table:

DESC mybooks;

---
Field |Type   |Null|Default|Extra|
------+-------+----+-------+-----+
title |VARCHAR|NO  |''     |     |
author|VARCHAR|NO  |''     |     |
date  |VARCHAR|NO  |''     |     |

SELECT * FROM mybooks;

---
title                       |author             |date|
----------------------------+-------------------+----+
Transaction Processing      |Jim Gray           |1992|
Readings in Database Systems|Michael Stonebraker|2004|