It appears that structured streaming and Dstream have entirely different
microbatch metadata representation
Can someone assist me in finding the following Dstream microbatch metadata
equivalent in Structured streaming.
1. microbatch timestamp : structured streaming foreachBatch gives batchID
which
I have two clusters hive1 and hive2, as well as a MySQL database. Can I use
Spark Catalog for registration, but can I only use one catalog at a time? Can
multiple catalogs be joined across databases.
select * from
hive1.table1 join hive2.table2 join mysql.table1
where
308027...@qq
Something like this in Python
from pyspark.sql import SparkSession
# Configure Spark Session with JDBC URLs
spark_conf = SparkConf() \
.setAppName("SparkCatalogMultipleSources") \
.set("hive.metastore.uris",
"thrift://hive1-metastore:9080,thrift://hive2-metastore:9080")
jdbc_urls = ["jdbc:hi
