SnowConvert AI - Teradata

What is SnowConvert AI for Teradata?

SnowConvert AI is a software that understands Teradata SQL, BTEQ, and other Teradata-specific scripts (such as Fastload, Multiload, TPump, and TPT files) and converts this source code into functionally equivalent Snowflake code.

Types de conversion

Specifically, SnowConvert AI for Teradata performs the following conversions:

Teradata SQL vers Snowflake SQL

SnowConvert AI understands the Teradata source code and converts the Data Definition Language (DDL), Data Manipulation Language (DML), and functions in the source code to the corresponding SQL in the target: Snowflake. SnowConvert AI can migrate the source code in any of these three extensions .sql, .dml, ddl

Procédures stockées Teradata en procédures JavaScript intégrées dans Snowflake SQL

SnowConvert AI takes Teradata stored procedures (usually written in SQL) and converts them to JavaScript embedded into Snowflake SQL. Teradata’s CREATE PROCEDURE and REPLACE PROCEDURE language is replaced by Snowflake’s CREATE OR REPLACE PROCEDURE language. JavaScript is called as a scripting language, and all of the inner statements are converted to JavaScript.

Teradata BTEQ, Fastload, Multiload, et TPT vers Python

Basic Teradata Query (BTEQ) is Teradata’s proprietary scripting language. All BTEQ script files will be converted to Python scripts. A helper class will be called from the converted scripts to create the functional equivalence between the source and the target. More information about the Python Helpers can be found on our Translation Reference page. BTEQ can be batch run from outside the Snowflake environment. Learn more about how you can connect Python scripts directly to Snowflake.

Les fichiers BTEQ constituent également la base de nombreux autres types de données propriétaires créés par Teradata :

  • Fastload

  • Multiload

  • TPUMP

Each one of these file types are extensions of BTEQ. SnowConvert AI translates each one of these file types to Python.

Each of these conversions are optimized to give you the most functionally equivalent output ready for use in Snowflake. For more information on the power of the kind of conversion SnowConvert AI can provide, you can learn more about our tool by visiting our complete SQL reference guide.

SnowConvert AI Terminology

Avant de nous perdre dans la magie de ces conversions de code, voici quelques termes/définitions afin que vous sachiez de quoi nous parlons lorsque nous commençons à les utiliser dans la documentation :

  • SQL (Structured Query Language) : langage standard pour stocker, manipuler et récupérer des données dans la plupart des architectures de bases de données modernes.

  • BTEQ (Basic Teradata Query): BTEQ was the first utility and query tool for Teradata.

  • TPT (Teradata Parallel Transporter) : TPT est un outil de nouvelle génération qui vise à créer un outil unique pour toutes les activités liées au chargement et à l’exportation de données depuis/vers les bases de données Teradata.

  • SnowConvert AI: the software that converts securely and automatically your Teradata files to the Snowflake cloud data platform.

  • Conversion rule or transformation rule: rules that allow SnowConvert AI to convert from a portion of source code to the expected target code.

  • Parse: parse or parsing is an initial process done by SnowConvert AI to understand the source code and build up an internal data structure to process the conversion rules.

On the next few pages, you’ll learn more about the kind of conversions that SnowConvert AI for Teradata is capable of. If you’re ready to get started, visit the Getting Started page in this documentation. If you’re interested in getting more information about SnowConvert AI in general, visit our SnowConvert AI for Teradata information page.

Exemple de traduction

Instruction SQL Teradata

-- CREATE TABLE DDL
CREATE SET TABLE TABLE1,
    NO BEFORE JOURNAL,
    NO AFTER JOURNAL,
    CHECKSUM = DEFAULT,
    DEFAULT MERGEBLOCKRATIO
(
    COL1 VARCHAR(15) CHARACTER SET LATIN NOT CASESPECIFIC,
    Col2 BYTEINT CHECK ( CurrentFlag  IN (0 ,1 ) ) NOT NULL,
    COL3 DATE FORMAT 'yyyy-mm-dd',
    COL4 BLOB(2097088000),
    COL5 BYTEINT,
    COL7 INTEGER NOT NULL COMPRESS (1 ,2 ,3 ,4),
    COL8 INTERVAL HOUR(2) TO MINUTE
);

-- REPLACE VIEW DDL
REPLACE VIEW VIEW1 AS
SELECT * FROM TABLE1
UNION ALL
SELECT MAX(COL1) FROM TABLE1;
Copy

Code SQL Snowflake converti :

-- CREATE TABLE DDL
--** SSC-FDM-TD0024 - SET TABLE FUNCTIONALITY NOT SUPPORTED. TABLE MIGHT HAVE DUPLICATE ROWS **
CREATE OR REPLACE TABLE TABLE1
(
    COL1 VARCHAR(15) COLLATE 'en-cs',
    Col2 BYTEINT
                 !!!RESOLVE EWI!!! /*** SSC-EWI-0035 - CHECK STATEMENT NOT SUPPORTED ***/!!!
 CHECK ( CurrentFlag  IN (0 ,1 ) ) NOT NULL,
    COL3 DATE,
    COL4 BINARY /*** SSC-FDM-TD0001 - COLUMN CONVERTED FROM BLOB DATA TYPE ***/,
    COL5 BYTEINT,
    COL7 INTEGER NOT NULL,
    COL8 VARCHAR(21) !!!RESOLVE EWI!!! /*** SSC-EWI-0036 - INTERVAL HOUR(2) TO MINUTE DATA TYPE CONVERTED TO VARCHAR ***/!!!
)
COMMENT = '{"origin":"sf_sc","name":"snowconvert","version":{"major":1, "minor":0},"attributes":{"component":"teradata"}}'
;

-- REPLACE VIEW DDL
CREATE OR REPLACE VIEW VIEW1
COMMENT = '{"origin":"sf_sc","name":"snowconvert","version":{"major":1, "minor":0},"attributes":{"component":"teradata"}}'
AS
SELECT
    * FROM
    TABLE1
    UNION ALL
    SELECT
    MAX(COL1) FROM
    TABLE1;
Copy

Dans ce SQL converti, vous remarquerez que nous convertissons de nombreuses choses :

  • Ajout d’un schéma PUBLIC par défaut pour tous les noms de tables et de vues si l’utilisateur n’en spécifie pas (voir la section relative à la spécification d’un schéma).

  • CREATE SET TABLE à CREATE TABLE

  • REPLACE VIEW à CREATE OR REPLACE VIEW

  • Types de données : BLOB à BINARY et INTERVAL à VARCHAR

  • Attributs du type de données : NOT CASESPECIFIC à COLLATE

  • Suppression d’éléments de Teradata SQL qui ne sont pas nécessaires dans Snowflake en raison de l’architecture de Snowflake, tels que NO BEFORE JOURNAL, NO AFTER JOURNAL, CHECKSUM, COMPRESS et DEFAULT MERGEBLOCKRATIO.

Langage: Français