Update bigquery-configs.md

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website/docs/reference/resource-configs/bigquery-configs.md

@@ -21,7 +21,7 @@ This will allow you to read and write from multiple BigQuery projects. Same for
 
 ### Partition clause
 
-BigQuery supports the use of a [partition by](https://cloud.google.com/bigquery/docs/data-definition-language#specifying_table_partitioning_options) clause to easily partition a <Term id="table" /> by a column or expression. This option can help decrease latency and cost when querying large tables. Note that partition pruning [only works](https://cloud.google.com/bigquery/docs/querying-partitioned-tables#pruning_limiting_partitions) when partitions are filtered using literal values (so selecting partitions using a <Term id="subquery" /> won't improve performance).
+BigQuery supports the use of a [partition by](https://cloud.google.com/bigquery/docs/data-definition-language#specifying_table_partitioning_options) clause to easily partition a <Term id="table" /> by a column or expression. This option can help decrease latency and cost when querying large tables. Note that partition pruning [only works]([https://cloud.google.com/bigquery/docs/querying-partitioned-tables#pruning_limiting_partitions](https://cloud.google.com/bigquery/docs/querying-partitioned-tables#use_a_constant_filter_expression) when partitions are filtered using literal values (so selecting partitions using a <Term id="subquery" /> won't improve performance).
 
 The `partition_by` config can be supplied as a dictionary with the following format: