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There can be several reasons for a delay in a basic query using R and sparkplyr. Some common reasons are:
Data size: If the data size is huge, the query may take a lot of time to execute.
Cluster configuration: If the cluster configuration is not optimal, the query may take longer than expected.
Data skewness: If the data is skewed, some partitions may have more data than others, causing delays.
Resource allocation: If the resources are not allocated properly, the query may take longer than usual.
Execution plan: If the execution plan of the query is not optimal, the query may take more time to execute.
Network latency: If the network latency is high, it may cause a delay in fetching the data from the cluster.
Hardware issues: If there are any hardware issues with the server or the network, it may cause a delay in the query execution.