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Async Queries via Celery
Celery Celery Flower Celery On large analytic databases, it’s common to run queries that execute for minutes or hours. To enable support for long running queries that execute b... -
10.1 The function knitr::kable()
Supported table formats Change column names Specify column alignment Add a table caption Format numeric columns Display missing values Escape special characters Multiple tab... -
Nessie
Enabling Nessie Catalog Spark SQL Extensions Nessie Catalog Nessie and Iceberg Loosely coupled transactions Experimentation Further use cases Example Future Improvements ... -
OneSignal
Description Key features Options url [String] password [String] method [String] params [Map] body [String] poll_interval_millis [int] retry [int] retry_backoff_multiplier_... -
Hive Metastore
Spark Data Source example Query using HiveQL Use partition extractor properly Hive Sync Tool Hive Sync Configuration Sync modes HMS JDBC HIVEQL Flink Setup Install Hive E... -
Basic Troubleshooting
General Accumulo Processes Accumulo Clients Ingest HDFS Zookeeper General The tablet server does not seem to be running!? What happened? Accumulo is a distributed system.... -
2.2 R Markdown anatomy
YAML metadata Narrative Code chunks Document body References We can dig one level deeper by considering the different components of an R Markdown. Specifically, let’s look at... -
Flink Getting Started
Preparation when using Flink SQL Client Flink’s Python API Adding catalogs. Catalog Configuration Hive catalog Creating a table Writing Branch Writes Reading Type conversi... -
JDO 3.0 Overview
Background Metadata API Enhancer API Query Cancel/Timeout API Control of read objects locking Background Java Data Objects (JDO) is a specification begun in 2000, with 2 maj... -
Creating your first interoperable table
Pre-requisites Steps Initialize a pyspark shell Create dataset Running sync Conclusion Next steps Using OneTable to sync your source tables in different target format invo...