support jdbc about greenplum more

the code as:

Dataset<Row> invoke = spark.read().format("jdbc").option("url", url)
.option("dbtable", query)
.option("partitionColumn", "id")
.option("numPartitions", "5")
.option("lowerBound", Long.MIN_VALUE)
.option("upperBound", Long.MAX_VALUE)
.load();

when the gp table is a large table,oom will occur

how can handle the large table?