Connecting Hadoop To LDAP

Kevin Feasel

2017-07-05

Hadoop

Giovanni Lanzani walks through some of the difficulties of getting LDAP working with Hadoop:

This section could probably could have much less workarounds if I’d knew more about LDAP.

But I’m a data scientist at heart and I want to get things done.

If you ever dealt with Hadoop, you know that there are a bunch of non-interactive users, i.e. users who are not supposed to login, such as hdfs, spark, hadoop, etc. These users are important to have. However the groups with the same name are also important to have. For example when using airflow and launching a spark job, the log folders will be created under the airflow user, in the spark group.

LDAP, however, doesn’t allow you, to my knowledge, to have overlapping user/groups, as Unix does.

The way I solved it was to create, in LDAP, the spark_user (or hdfs_user or …) to work around this limitation.

Also, Giovanni apparently lives in an interesting neighborhood.

Related Posts

Five Books For Learning Kafka

Data Flair has a guide to five books to help you learn Apache Kafka: The book “Kafka: The Definitive Guide” is written by engineers from Confluent andLinkedIn who are responsible for developing Kafka. They explain how to deploy production Kafka clusters, write reliable event-driven microservices, and build scalable stream-processing applications with this platform. It contains detailed examples as well. […]

Read More

Push-Based Alerting With Kafka Streams

Robin Moffatt shows how to take syslog data and create a notification app using Python and Kafka Streams: Now we can query from it and show the aggregate window timestamp alongside the result: ksql> SELECT ROWTIME, TIMESTAMPTOSTRING(ROWTIME, 'yyyy-MM-dd HH:mm:ss'), \ HOST, INVALID_LOGIN_COUNT \ FROM INVALID_USERS_LOGINS_PER_HOST; 1521644100000 | 2018-03-21 14:55:00 | rpi-03 | 1 1521646620000 | […]

Read More

Categories

July 2017
MTWTFSS
« Jun Aug »
 12
3456789
10111213141516
17181920212223
24252627282930
31