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https://phoenix.apache.org/docs/contributing
All new source files should include the Apache license header
https://cwiki.apache.org/confluence/spaces/SQOOP/pages/27828853/Sqoop2+Proposal
This ability to override job configuration and selective extend built in functionality by the connectors allows various connectors to be built and used for communicating with new systems
https://seatunnel.apache.org/docs/faq
You can use Linux cron jobs to achieve periodic data integration, or leverage scheduling tools like Apache DolphinScheduler or Apache Airflow to manage complex scheduled tasks
https://phoenix.apache.org/docs/grammar
HBase table and column configuration options may be passed through as key/value pairs to configure the HBase table as desired
https://seatunnel.apache.org/blog/seatunnel-zero-loss-zero-duplication-data-consistency
" 🔄 "Can data duplication or loss be avoided after task interruption or recovery
https://cwiki.apache.org/confluence/spaces/SQOOP/pages/49578319/Kite+Connector+Design
HBase support (SQOOP-1744) will be an individual improvement to the original design
https://ambari.apache.org/docs/3.0.0/introduction
Introduction
The Apache Ambari project is aimed at making Hadoop management simpler by developing software for provisioning, managing, and monitoring Apache Hadoop clusters
https://ambari.apache.org/zh-Hans/docs/3.0.0/ambari-design/blueprints/blueprint-ha
Hive Components (AMBARI-10489)
与 Ambari UI 的兼容性
虽然此功能运行时不要求 Ambari UI，但 Blueprints HA 功能与 Ambari UI 完全兼容。通过 Blueprint 创建的 HA 集群可以像其他 Blueprint
https://phoenix.apache.org/docs/features/row-timestamp-column
The column value cannot be NULL (because it maps directly to the HBase row timestamp)
https://hbase.apache.org/export-control
Apache HBase uses the built-in java cryptography libraries
https://ambari.apache.org/zh-Hans/docs/3.1.0/release-notes
0 预览版，功能范围包含监控 PR #4182 及已审查源码基线中的社区变更。本页尚不宣布正式发行包、最终发布日期或已完成验证的升级兼容矩阵。
版本重点
新监控系统替代 AMS。原有的 AMS Monitor、Collector 和基于 HBase 的存储链路，被 Agent
https://seatunnel.apache.org/zh-CN/
SheetsGoogle FirestoreSlackDingTalkFeishuEmailMaxComputeTableStoreSelectDB CloudMilvusQdrantLanceApache FlussHugeGraphPrometheusSLSSentrySensorsDataWeb3j
还包括：MongoDB / Redis / Elasticsearch / Neo4j / Cassandra / HBase / Druid / HugeGraph / IoTDB / InfluxDB / DynamoDB / Milvus / Qdrant
https://seatunnel.apache.org
SeaTunnel unifies CDC, schema evolution, multimodal movement, and production-grade reliability into one Apache-licensed integration layer
https://phoenix.apache.org/docs/explain-plan
When ORDERED is used, the GROUP BY operation is applied to the leading part of the primary key constraint, which allows the aggregation to be done in place rather than keeping all distinct groups in memory on the server side
https://phoenix.apache.org/docs/features/views
Define updatable and read-only Phoenix views over shared HBase tables, including indexing behavior and limitations
https://phoenix.apache.org/docs/features/namespace-mapping
<table_name>
Details for ACL management in HBase can be found here
https://phoenix.apache.org/docs/quick-start
Check out my presentation for various existing and to-be-done Phoenix features to support your favorite HBase trick
https://phoenix.apache.org/docs/datatypes
The purpose of this type is to map to existing HBase data that was serialized using this HBase utility method
https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/util/RegionSplitter.UniformSplit.html
The length of the returned array should be numRegions-1
https://phoenix.apache.org/docs/features/view-ttl
A Phoenix view is a logical table that shares a single physical HBase table with its sibling views
https://phoenix.apache.org/docs/features/atomic-upsert
Given that the row must be locked and read when the ON DUPLICATE KEY clause is used, there will be a performance penalty (much like there is for an HBase Put versus a CheckAndPut)
https://phoenix.apache.org/docs/features/segment-scan
Either may be empty — an empty start key means "from the beginning of the table"; an empty end key means "to the end of the table
https://phoenix.apache.org/docs/features/statistics-collection
Statistics are also automatically collected during major compactions and region splits so manually running this command may not be necessary
https://phoenix.apache.org/docs/features/table-sampling
Given a sampling rate, it leverages Phoenix statistics and HBase region distribution to perform table sampling
https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/Result.html
A Result is backed by an array of Cell objects, each representing an HBase cell defined by the row, family, qualifier, timestamp, and value
https://hbase.apache.org/devapidocs/org/apache/hadoop/hbase/client/ColumnFamilyDescriptorBuilder.html
A more exact name would be CACHE_DATA_ON_READ because this flag sets whether or not we cache DATA blocks
https://phoenix.apache.org/docs/features/dynamic-columns
Define and query late-bound dynamic columns in Phoenix when full schema cannot be declared upfront
https://phoenix.apache.org/docs/features/conditional-ttl
Phoenix compaction: expired rows are physically removed by Phoenix's compaction during HBase region compactions
https://phoenix.apache.org/docs/features/phoenix-row-timestamp
It can be used in three places, and the third one is what makes it especially powerful:
As a projection in SELECT
https://ambari.apache.org/docs/3.0.0/ambari-design/service-dashboard/
Cluster is required to be upgraded to Ambari 2