I replicate data from MySQL data base to BigQuery using DataFusion.
My original table in MySQL is not partitioned but I want it to be partitioned by a column when it is replicated to BQ.
Additionally BQ assigns a column for clustering by default on its own for PK column when I run replication job in DataFusion.
Questions:
- Is it possible at the very beginning of replication job in DataFusion (MySQL -> BQ) to set some tables to become partitioned by specific columns, while the rest of replicated table leave replicating as they are?
- And is it possible to change or set cluster columns on start of the replication process to BQ?
Solved! Go to Solution.
Yes, it is possible to set specific tables to be partitioned by specific columns and to change or set cluster columns at the start of the replication process from MySQL to BigQuery using DataFusion. However, the process involves a few important considerations:
Partitioning Tables:
Define Partitioning Scheme: Identify the columns you want to use for partitioning in each table. This step is crucial for optimizing query performance in BigQuery.
DataFusion Configuration: In DataFusion, configure your replication job to handle partitioning. This is typically done through the pipeline setup interface rather than SQL statements. Specify the partitioning scheme for each table within this configuration.
Automatic Table Creation: DataFusion often automatically creates and manages the schema of the destination tables in BigQuery. Therefore, manually pre-creating partitioned tables in BigQuery might not be necessary unless you have specific schema customizations.
Clustering Columns:
Identify Clustering Columns: Determine which columns should be used for clustering in BigQuery. Clustering organizes data to improve the efficiency of certain types of queries.
DataFusion Configuration: As of the last update, direct specification of clustering columns in DataFusion was not a standard feature. Therefore, you might need to configure clustering as a post-replication step in BigQuery. This involves altering the table to specify the clustering columns.
General Considerations:
By understanding these details, you can effectively manage the partitioning and clustering of your tables in BigQuery during the replication process using DataFusion, thereby optimizing your data organization and query performance.
No, BigQuery does not directly support partitioning of existing tables that are replicated. The method you described, creating a new partitioned table, dropping the original table, and then renaming the new table to the original name, is the recommended approach for partitioning existing replicated tables.
This approach involves some downtime as the original table is dropped and the new partitioned table is created. To minimize downtime, you can create the new partitioned table with the same schema as the original table and then copy the data from the original table to the new table. Once the data is copied, you can drop the original table and rename the new table to the original name.
Here's a summary of the steps involved:
This approach ensures that the replicated table is partitioned and that there is no data loss during the process.