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python3-adlfs-2023.12.0-1.lbn36.noarch: Filesystem interface to Azure-Datalake Gen1 and Gen2 Storage Quickstart This package can be installed using: pip install adlfs or conda install -c conda-forge adlfs The adl:/ and abfs:/ protocols are included in fsspec's known_implementations registry in fsspec > 0.6.1, otherwise users must explicitly inform fsspec about the supported adlfs protocols. To use the Gen1 filesystem: import dask.dataframe as dd storage_options={'tenant_id': TENANT_ID, 'client_id': CLIENT_ID, 'client_secret': CLIENT_SECRET} dd.read_csv('adl:/{STORE_NAME}/{FOLDER}/*.csv', storage_options=storage_options) To use the Gen2 filesystem you can use the protocol abfs or az: import dask.dataframe as dd storage_options={'account_name': ACCOUNT_NAME, 'account_key': ACCOUNT_KEY} ddf = dd.read_csv('abfs:/{CONTAINER}/{FOLDER}/*.csv', storage_options=storage_options) ddf = dd.read_parquet('az:/{CONTAINER}/folder.parquet', storage_options=storage_options) Accepted protocol / uri formats include: 'PROTOCOL:/container

google-crc32c-1.1.2-11.lbn36.x86_64: This project collects a few CRC32C implementations under an umbrella that dispatches to a suitable implementation based on the host computer's hardware capabilities. CRC32C is specified as the CRC that uses the iSCSI polynomial in RFC 3720. The polynomial was introduced by G. Castagnoli, S. Braeuer and M. Herrmann. CRC32C is used in software such as Btrfs, ext4, Ceph and leveldb.

leveldb-1.23-4.fc36.x86_64: LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

freetds-libs-1.3.3-2.fc36.x86_64: FreeTDS is a project to document and implement the TDS (Tabular DataStream) protocol. TDS is used by Sybase(TM) and Microsoft(TM) for client to database server communications. FreeTDS includes call level interfaces for DB-Lib, CT-Lib, and ODBC. This package contains the libraries for freetds.

pgbouncer-1.22.1-1.lbn36.x86_64: pgbouncer is a lightweight connection pooler for PostgreSQL and uses libevent for low-level socket handling.

pgbackrest-2.54.2-1.lbn36.x86_64: pgBackRest aims to be a simple, reliable backup and restore system for PostgreSQL that can seamlessly scale up to the largest databases and workloads. The following features are available: - Parallel backup & restore - Local or remote operation - Full, incremental, differential backups - Backup rotation & archive expiration - Backup integrity - Page checksums - Backup resume - Streaming compression & checksums - Delta restore - Parallel, asynchronous WAL push & get - Tablespace & link support - Amazon S3 support - Encryption - Compatibility with PostgreSQL >= 8.3

pg_logical-2.4.5-1.lbn36.x86_64: The pglogical 2 extension provides logical streaming replication for PostgreSQL, using a publish/subscribe model. It is based on technology developed as part of the BDR project (http://2ndquadrant.com/BDR). We use the following terms to describe data streams between nodes, deliberately reused from the earlier Slony technology: Nodes - PostgreSQL database instances Providers and Subscribers - roles taken by Nodes Replication Set - a collection of tables Use cases supported are: Upgrades between major versions (given the above restrictions) Full database replication Selective replication of sets of tables using replication sets Selective replication of table rows at either publisher or subscriber side (row_filter) Selective replication of table columns at publisher side Data gather/merge from multiple upstream servers Architectural details: pglogical works on a per-database level, not whole server level like physical streaming replication One Provider may feed multiple Subscribers without incurring additional disk write overhead One Subscriber can merge changes from several origins and detect conflict between changes with automatic and configurable conflict resolution (some, but not all aspects required for multi-master). Cascading replication is implemented in the form of changeset forwarding.

cassandra-tools-5.0.2-1.lbn36.noarch: Cassandra is a distributed (peer-to-peer) system for the management and storage of structured data. . This package contains extra tools for working with Cassandra clusters.

cassandra-5.0.2-1.lbn36.noarch: Cassandra is a distributed (peer-to-peer) system for the management and storage of structured data.

python3-apache-airflow-2.10.5-1.lbn36.noarch: Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex surgeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

apache-airflow-2.10.5-1.lbn36.noarch: Apache Airflow (or simply Airflow) is a platform to programmatically author, schedule, and monitor workflows. When workflows are defined as code, they become more maintainable, versionable, testable, and collaborative. Use Airflow to author workflows as directed acyclic graphs (DAGs) of tasks. The Airflow scheduler executes your tasks on an array of workers while following the specified dependencies. Rich command line utilities make performing complex sugeries on DAGs a snap. The rich user interface makes it easy to visualize pipelines running in production, monitor progress, and troubleshoot issues when needed.

zookeeper-java-3.9.3-1.lbn36.x86_64: The zookeeper-java package contains Java bindings for zookeeper.

zookeeper-3.9.3-1.lbn36.x86_64: ZooKeeper is a centralized service for maintaining configuration information, naming, providing distributed synchronization, and providing group services.

apache-drill-drillbit-1.21.2-1.lbn36.noarch: The drillbit daemon service for Apache Drill.

apache-drill-1.21.2-1.lbn36.noarch: Drill supports a variety of NoSQL databases and file systems, including HBase, MongoDB, MapR-DB, HDFS, MapR-FS, Amazon S3, Azure Blob Storage, Google Cloud Storage, Swift, NAS and local files. A single query can join data from multiple datastores. For example, you can join a user profile collection in MongoDB with a directory of event logs in Hadoop. Drill's datastore-aware optimizer automatically restructures a query plan to leverage the datastore's internal processing capabilities. In addition, Drill supports data locality, so it's a good idea to co-locate Drill and the datastore on the same nodes.

python3-apache-airflow-providers-databricks-6.6.0-1.lbn36.noarch: Package apache-airflow-providers-databricks Release: 6.6.0 Databricks

python3-apache-airflow-providers-common-sql-1.23.0-1.lbn36.noarch: .. Licensed to the Apache Software Foundation (ASF) under one or more contributor license agreements. See the NOTICE file distributed with this work for additional information regarding copyright ownership. The ASF licenses this file to you under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the...

python3-apache-airflow-providers-common-io-1.5.0-1.lbn36.noarch: Package apache-airflow-providers-common-io Common IO Provider

python3-apache-airflow-providers-cohere-1.2.1-1.lbn36.noarch: Package apache-airflow-providers-cohere Release: 1.2.1 Cohere

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