In one of my previous articles about Password Security Solution for Sqoop, I mentioned creating credential using hadoop credential command. The credentials are stored in JavaKeyStoreProvider. Credential providers are used to separate the use of sensitive tokens, secrets and passwords from the details of their storage and management.

The following command lines create a credential named mydatabase.password in both local JCEKS file and also in HDFS.

#Store the password in HDFS

hadoop credential create mydatabase.password -provider jceks://hdfs/user/hue/mypwd.jceks

# Store the password locally

hadoop credential create mydatabase.password -provider jceks://file/home/user/mypwd.jceks

For running jobs in clusters like YARN, it is important to create the credential in HDFS so that it can be accessed by all worker nodes in the cluster.

Once the credential is created, you can easily use it in Sqoop by passing in the credential name as parameter. However, if you want to access the credential in Spark, what should you do? If you are using Scala, you can easily reference the Hadoop java libraries for credential. However, if you use Python as programming language, it won’t be that straightforward.

Sample code to retrieve Hadoop credential in PySpark

from pyspark.sql import SparkSession

appName = "PySpark Hadoop Credential Example"
master = "local"

# Create Spark session
spark = SparkSession.builder \
    .appName(appName) \
    .master(master) \
    .getOrCreate()

# Replace the credential provider path accordingly
credential_provider_path = 'jceks://hdfs/user/hue/.jceks' 
credential_name = 'mydatabase.password'

# Retrive credential/password from Hadoop credential
conf = spark.sparkContext._jsc.hadoopConfiguration()
conf.set('hadoop.security.credential.provider.path',credential_provider_path)
credential_raw = conf.getPassword(credential_name)
credential_str = ''
for i in range(credential_raw.__len__()):
    credential_str = credential_str + str(credential_raw.__getitem__(i))

# Now you can use credential_str, for example, use it as database password in JDBC to load data from databases into Spark data frame.

Access to the credential provider file

Anyone who has access to your credential provider file can also use the same approach to retrieve the credential value from the provider. So it is important to manage the access to the credential file so that only allowed users can access it.

More details about Hadoop credential API

Refer to the official page to learn more about Hadoop credential APIs: CredentialProvider API Guide.

info Last modified by Raymond at 2 years ago * This page is subject to Site terms.

More from Kontext

local_offer teradata local_offer python

visibility 624
thumb_up 1
access_time 3 months ago

Pandas is commonly used by Python users to perform data operations. In many scenarios, the results need to be saved to a storage like Teradata. This article shows you how to do that easily using JayDeBeApi or  ...

open_in_new Spark + PySpark

local_offer python

visibility 164
thumb_up 0
access_time 3 months ago

CSV is a common data format used in many applications. It's also a common task for data workers to read and parse CSV and then save it into another storage such as RDBMS (Teradata, SQL Server, MySQL). In my previous article  ...

open_in_new Python Programming

local_offer teradata local_offer python local_offer Java

visibility 348
thumb_up 0
access_time 3 months ago

Python JayDeBeApi module allows you to connect from Python to Teradata databases using Java JDBC drivers. In article Connect to Teradata database through Python , I showed ho...

open_in_new Python Programming

local_offer hadoop local_offer hive local_offer Java

visibility 446
thumb_up 1
access_time 3 months ago

When I was configuring Hive 3.0.0 in Hadoop 3.2.1 environment, I encountered the following error: Exception in thread "main" java.lang.NoSuchMethodError: com.google.common.base.Preconditions.checkArgument(ZLjava/lang/String;Ljava/lang/Object;)V Ro...

open_in_new Hadoop

info About author

comment Comments (0)

comment Add comment

Please log in or register to comment.

account_circle Log in person_add Register

Log in with external accounts

No comments yet.

Dark theme mode

Dark theme mode is available on Kontext.

Learn more arrow_forward

Kontext Column

Created for everyone to publish data, programming and cloud related articles. Follow three steps to create your columns.


Learn more arrow_forward