diff between repartition and colaesce, clustering and partitioning in bq

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Repartition increases or decreases the number of partitions in a DataFrame, while coalesce only decreases the number of partitions. Clustering is used for organizing data within a partition, while partitioning is dividing data into logical units.

Repartition increases or decreases the number of partitions in a DataFrame, which can be useful for parallelism and performance optimization.
Coalesce only decreases the number of partitions in a DataFrame, which is more efficient than repartition when reducing the number of partitions.
Clustering in BigQuery is used to physically organize data within a partition based on one or more columns, which can improve query performance by reducing the amount of data scanned.
Partitioning in BigQuery involves dividing a table's data into logical units based on a specified column or expression, which helps with data organization and query efficiency.

diff between repartition and colaesce, clustering and partitioning in bq

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