Yes, it is possible to connect databricks to a kerberized hbase cluster. The attached article explains the steps. It consists of setting up a kerberos client using a keytab in the cluster nodes, installing the hbase-spark integration library, and set...
SparkSession spark = SparkSession.builder() .appName("SparkS3Example") .master("local[1]") .getOrCreate(); spark.sparkContext().hadoopConfiguration().set("fs.s3a.access.key", S3_ACCOUNT_KEY); spark.sparkContext().hadoopConf...
Hi @Sweetnesh Dholariya,Does @Debayan Mukherjee's response answer your question? If yes, would you be happy to mark it as best so that other members can find the solution more quickly?Thanks!
Here is an article I wrote that puts Databricks in a historical context (why was it developed?) and provides introductory steps to help a newbie get started. Feel free to copy/link as you want.https://www.linkedin.com/pulse/databricks-introduction-ch...
Hi Team, I am facing an issue "java.io.IOException: While processing file s3://test/abc/request_dt=2021-07-28/someParquetFile. [XYZ] BINARY is not in the store" The things i did before getting the above exception: 1. Alter table tableName1 add colum...
I have used Ranger in Apache Hadoop and it works fine for my use case. Now that I am migrating my workloads from Apache Hadoop to Databricks
Currently, Table ACL does not support column-level security. There are several tools like Privcera which has better integration with Databricks.
Hi All, I wanted to read parqet file compressed by snappy into Spark RDD input file name is: part-m-00000.snappy.parquet i have used sqlContext.setConf("spark.sql.parquet.compression.codec.", "snappy") val inputRDD=sqlContext.parqetFile(args(0)) whe...
