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import sqlContext.implicits._import org.apache.spark.sql.functions._inputDF.select(   unix_timestamp($"unix_timestamp").alias("unix_timestamp"),   from_utc_timestamp($"unix_timestamp".cast(DataTypes.TimestampType), "UTC").alias("UTC"),   from_utc_tim...

While Spark does use a micro-batch execution model, this does not have much impact on applications, because the batches can be as short as 0.5 seconds. In most applications of streaming big data, the analytics is done over a larger window (say 10 min...

I got this question from some customers and I want ti clarify here tooI think we are conflating two things:Catalyst optimizer is about coming up "Steps to take to execute the query". For example, the optimizer will decide how and when to do the join...

This can be accomplished with cluster policies. You can use a policy similar to this example to restrict certain users or groups to only have permission to create job clusters.