Updating partitioning schema configuration
You can update table configuration for partitioning schema with an SDK with access the
UpdateTable
action.
Update a table with a partition key
You can use the following code snippets to update a table with a partition key.
- Java
-
public void updateTableCompositePartitionKeyEnforcement() { System.out.println("Updating table"); UpdateTableRequest updateTableRequest = new UpdateTableRequest(); updateTableRequest.setDatabaseName(DATABASE_NAME); updateTableRequest.setTableName(TABLE_NAME); // Can update enforcement level for dimension type partition key with OPTIONAL or REQUIRED enforcement final List<PartitionKey> partitionKeyWithDimensionAndRequiredEnforcement = Collections.singletonList(new PartitionKey() .withName(COMPOSITE_PARTITION_KEY_DIM_NAME) .withType(PartitionKeyType.DIMENSION) .withEnforcementInRecord(PartitionKeyEnforcementLevel.REQUIRED)); Schema schema = new Schema(); schema.setCompositePartitionKey(partitionKeyWithDimensionAndRequiredEnforcement); updateTableRequest.withSchema(schema); writeClient.updateTable(updateTableRequest); System.out.println("Table updated");
- Java v2
-
public void updateTableCompositePartitionKeyEnforcement() { System.out.println("Updating table"); // Can update enforcement level for dimension type partition key with OPTIONAL or REQUIRED enforcement final List<PartitionKey> partitionKeyWithDimensionAndRequiredEnforcement = Collections.singletonList(PartitionKey .builder() .name(COMPOSITE_PARTITION_KEY_DIM_NAME) .type(PartitionKeyType.DIMENSION) .enforcementInRecord(PartitionKeyEnforcementLevel.REQUIRED) .build()); final Schema schema = Schema.builder() .compositePartitionKey(partitionKeyWithDimensionAndRequiredEnforcement).build(); final UpdateTableRequest updateTableRequest = UpdateTableRequest.builder() .databaseName(DATABASE_NAME).tableName(TABLE_NAME).schema(schema).build(); writeClient.updateTable(updateTableRequest); System.out.println("Table updated");
- Go v1
-
// Update table partition key enforcement attribute updateTableInput := ×treamwrite.UpdateTableInput{ DatabaseName: aws.String(*databaseName), TableName: aws.String(*tableName), // Can update enforcement level for dimension type partition key with OPTIONAL or REQUIRED enforcement Schema: ×treamwrite.Schema{ CompositePartitionKey: []*timestreamwrite.PartitionKey{ { Name: aws.String(CompositePartitionKeyDimName), EnforcementInRecord: aws.String("REQUIRED"), Type: aws.String("DIMENSION"), }, }}, } updateTableOutput, err := writeSvc.UpdateTable(updateTableInput) if err != nil { fmt.Println("Error:") fmt.Println(err) } else { fmt.Println("Update table is successful, below is the output:") fmt.Println(updateTableOutput) }
- Go v2
-
// Update table partition key enforcement attribute updateTableInput := ×treamwrite.UpdateTableInput{ DatabaseName: aws.String(*databaseName), TableName: aws.String(*tableName), // Can update enforcement level for dimension type partition key with OPTIONAL or REQUIRED enforcement Schema: &types.Schema{ CompositePartitionKey: []types.PartitionKey{ { Name: aws.String(CompositePartitionKeyDimName), EnforcementInRecord: types.PartitionKeyEnforcementLevelRequired, Type: types.PartitionKeyTypeDimension, }, }}, } updateTableOutput, err := timestreamBuilder.WriteSvc.UpdateTable(context.TODO(), updateTableInput) if err != nil { fmt.Println("Error:") fmt.Println(err) } else { fmt.Println("Update table is successful, below is the output:") fmt.Println(updateTableOutput) }
- Python
-
def update_table(self): print('Updating table') try: # Can update enforcement level for dimension type partition key with OPTIONAL or REQUIRED enforcement partition_key_with_dimension_and_required_enforcement = [ { 'Type': 'DIMENSION', 'Name': COMPOSITE_PARTITION_KEY_DIM_NAME, 'EnforcementInRecord': 'REQUIRED' } ] schema = { 'CompositePartitionKey': partition_key_with_dimension_and_required_enforcement } self.client.update_table(DatabaseName=DATABASE_NAME, TableName=TABLE_NAME, Schema=schema) print('Table updated.') except Exception as err: print('Update table failed:', err)
Checking
partitioning schema configuration
Advantages of
customer-defined partition keys