Presto secures access to catalogs with built-in system. This article is not aimed to replace the Presto documentation which provides high level of overview with following details on the implementation of build-in system access control. As any documentation, it does not cover all topics and there are some missing pieces …

Presto access is represented by many Python libraries among those are Dropbox/PyHive, prestosql/presto-python-client, prestodb/presto-python-client, and easydatawarehousing/prestoclient. Mostly of libraries use Python DB-API interface to access Presto which uniforms commands.

Python Access to Presto Cluster with PyHive article describes Dropbox/PyHive library usage.

prestosql/presto-python-client library is …

Presto access is represented by many Python libraries among those are Dropbox/PyHive, prestosql/presto-python-client, prestodb/presto-python-client, and easydatawarehousing/prestoclient. Mostly of libraries use Python DB-API interface to access Presto which uniforms commands.

Python Access to Presto Cluster with Presto Client article describes PrestoSQL client library usage.

Dropbox/PyHive library …

Presto SQL Server connector accesses SQL Server databases using SQL Server credentials. The connector properties contain SQL Server user name and password. This is only an option supported by Presto. Because of using SQL Server jdbc driver in SQL Server connector, it opens more ways to access MS SQL Server …

Presto Hive connector is aimed to access HDFS or S3 compatible storages. One of the key components of the connector is metastore which maps data files with schemas and tables. Two production metastore services are Hive and AWS Glue Data Catalog. Hive metastore works transparently with MinIO S3 compatible system …

Hive connector in Presto can retrieve data from both HDFS and S3 compatible storages. The connector requests Hive metastore as a link to those storages. There are two types of metastores. The first one is beefy one which includes multiple services. The second one is light weight and is called …

Presto configuration files contain passwords and sensitive data in plain text. Corporation security policies are not tolerant with it. That kind of information has to be hidden from users who are not authorized to have access to it. As a rule of thumb, DevOps and security teams are responsible to …

Presto includes Hive connector to access Hive data warehouse. Warehouse data is stored in the Hadoop Distributed File System (HDFS) or in S3 compatible storages. Data files located in Hive warehouse are in varieties of formats and data size can be enormous. Presto uses Hive metastore to discover schemas and …

Communication between Presto and a client can be secured with HTTPS protocol. config.properties Presto setup file located in /etc/presto folder includes the information necessary for establishing a connection to DBeaver. Java Keystore file contains a public key which is required to connect DBeaver to Presto cluster secured with …

Presto cluster is sensitive to memory setup. As Presto is developed in Java, Java is foundation to configure it. In many cases, Presto server is not started because of memory configuration. During Presto server launch, the validation rules are applied to make sure that major memory settings are consistent. It …

Like other installations and setups, Presto one can contain steps which cause difficulties. How many times you were stuck with something? In mostly cases, it was a trivial issue but you spent countless time to solve it. It's better to have a cheat sheet for discovering those issues before encountering …

Presto accesses a variety of data sources by means of connectors. Hive connector is used to access files stored in Hadoop Distributed File System (HDFS) or S3 compatible systems. Metastore can be configured with two options: Hive or AWS Glue Data Catalog. Hive metastore information can be find in Access …