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Mixed-Iceberg
Compared with Iceberg format, Mixed-Iceberg format provides more features: Stronger primary key constraints that also apply to Spark OLAP performance that is production-ready fo... -
1. Terminologies
Kyuubi JDBC Apache Hive Apache Thrift Server ServerSpace Engine EngineSpace Apache Spark Multi Tenancy High Availability / Load Balance Apache Zookeeper Apache Curator ... -
Docker Tutorial
Prepare 1. Install docker 2. Install docker-compose Apache StreamPark™ Deployment 1. Apache StreamPark™ deployment based on h2 and docker-compose 2. Deployment 3. Configure fl... -
High-Speed Ingest
Pre-Splitting New Tables Multiple Ingest Clients Bulk Ingest Logical Time for Bulk Ingest MapReduce Ingest Accumulo is often used as part of a larger data processing and stor... -
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.... -
Java Quickstart
Create a table Using a Hive catalog Using a Hadoop catalog Branching and Tagging Creating branches and tags Committing to branches Reading from branches and tags Replacing an... -
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... -
Self-Optimizing
Introduction Self-optimizing mechanism Self-optimizing scheduling policy Quota Balanced Introduction Lakehouse is characterized by its openness and loose coupling, with data... -
Compactions
Configuration External Compactions Starting the Components Configuration Overview External Compaction in Action Logging Metrics User compactions In Accumulo each tablet h... -
Table Design
Basic Table RowID Design Lexicoders Indexing Entity-Attribute and Graph Tables Document-Partitioned Indexing Basic Table Since Accumulo tables are sorted by row ID, each ta...