How to load data from Parquet File to Teradata
Learn how to use Airbyte to synchronize your Parquet File data into Teradata within minutes.



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How to Sync to Manually
Step 1: Prepare Environment with Necessary Tools
Install the necessary tools on your local machine or server. Ensure you have Apache Arrow installed for processing Parquet files and Teradata client utilities like BTEQ (Basic Teradata Query) for interacting with a Teradata database. Python is commonly used for handling Parquet files, so ensure you have Python and pip installed.
Step 2: Read Parquet File Using Python
Use Python and the PyArrow library to read the Parquet file. PyArrow can efficiently handle Parquet files and convert them into Pandas DataFrames, making it easy to manipulate and prepare data for loading. Use the following snippet to read a Parquet file:
```python
import pyarrow.parquet as pq
import pandas as pd
parquet_file = 'yourfile.parquet'
table = pq.read_table(parquet_file)
df = table.to_pandas()
```
Step 3: Transform Data for Teradata Compatibility
Ensure that the data types in your DataFrame match those expected by the Teradata table. This might include converting data types or formatting date/time fields. Use Pandas to modify your DataFrame as needed. For example:
```python
df['date_column'] = pd.to_datetime(df['date_column']).dt.strftime('%Y-%m-%d')
df['integer_column'] = df['integer_column'].astype(int)
```
Step 4: Export Data to CSV Format
Convert your DataFrame to a CSV format, which can be easily ingested by Teradata. Use Pandas to output the DataFrame to a CSV file:
```python
csv_file = 'output.csv'
df.to_csv(csv_file, index=False)
```
Step 5: Transfer CSV File to Teradata Server
Use a secure file transfer method like SCP (Secure Copy Protocol) or FTP to move the CSV file to a location accessible by the Teradata server. Ensure that the Teradata environment has access to this file, and it is placed in the correct directory.
Step 6: Load CSV Data into Teradata Staging Table
Utilize Teradata's BTEQ or FastLoad utilities to import the CSV data into a staging table in your Teradata database. You can execute a BTEQ script from the command line as follows:
```bash
bteq < .LOGON your_teradata_server/your_user,your_password;
.IMPORT VARTEXT ',' FILE='output.csv';
.SET RECORDMODE OFF
.SET ERRORLEVEL 3807 SEVERITY 0
USING (col1 VARCHAR(100), col2 INTEGER, col3 DATE FORMAT 'YYYY-MM-DD')
INSERT INTO staging_table (col1, col2, col3)
VALUES (:col1, :col2, :col3);
.LOGOFF;
EOF
```
Step 7: Transfer Data from Staging to Target Table
Once the data is in the staging table, use SQL commands within Teradata to transform and move the data to your target table. Execute these SQL commands through BTEQ or any Teradata query tool:
```sql
INSERT INTO target_table (col1, col2, col3)
SELECT col1, col2, col3
FROM staging_table;
```
Ensure proper error handling and data validation during this step to confirm that the data has been successfully transferred and is accurate.