Glad to hear this.
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RDD have not the method `collectAsync`.There exists a implicit conversion
from RDD to AsyncRDDActions in object RDD. The implicit conversion is :
implicit def rddToAsyncRDDActions[T: ClassTag](rdd: RDD[T]):
AsyncRDDActions[T] = {
new AsyncRDDActions(rdd)
}
The method collect of RDD use the
I think com.hadoop.compression.lzo.LzoCodec not in spark classpaths,please
put suitable hadoop-lzo.jar into directory spark_home/jars/.
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I think your hive table using CompressionCodecName, but your
parquet-hadoop-bundle.jar in spark classpaths is not a correct version.
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I think Spark is a Calculation engine design for OLAP or Ad-hoc.Spark is not
a traditional relational database,UPDATE need some mandatory constraint like
transaction and lock.
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This scene is rare.
When you provide a web server for spark. maybe you need it.
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First, Spark worker not have the ability to compute.In fact,executor is
responsible for computation.
Executor running tasks is distributed by driver.
Each Task just read some section of data in normal, but the stage have only
one partition.
IF your operators not contains the operator that will pull
This SQL syntax is not supported now!Please use ALTER TABLE ... CHANGE COLUMN
.
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