StarRocks · imay · Nov 16, 2023 · Nov 16, 2023
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 # Authentication methods
 
 In addition to the authentication method of "username+password", StarRocks also supports LDAP.

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 # Backup and Recovery
 
 StarRocks supports backing up the current data as a file to a remote storage system via the broker (the broker is an optional process in the StarRocks cluster, mainly used to support StarRocks to read and write files and directories on the remote storage, please refer to the [Broker Load documentation](../loading/BrokerLoad.md). The backup data can be restored from the remote storage system to any StarRocks cluster with the restore command. This feature supports periodic snapshot backup of data. It also allows migrating data between clusters.

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 # Blacklist Management
 
 In some cases, administrators need to disable certain patterns of SQL to avoid SQL from triggering cluster crashes or unexpected high concurrent queries.

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 # Introduction of the dev-env image
 
 ## Download the image

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 # Manage a cluster
 
 This topic explains how to manage a cluster.

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 # Parameter Configuration
 
 After the service is started, you may adjust the configuration parameters to meet the business requirements. You need to reboot the BE and Fe to apply the changes.

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 # Data Recovery
 
 StarRocks supports data recovery for mistakenly deleted databases/tables/partitions. After `drop table` or `drop database`, StarRocks will not physically delete the data immediately, but keep it in Trash for a period of time (1 day by default). Administrators can recover the mistakenly deleted data with the `RECOVER` command.

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 # Load Balancing
 
 When deploying multiple FE nodes, users can deploy a load balancing layer on top of the  FEs to achieve high availability.

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 # Memory Management
 
 This section briefly introduces memory classification and StarRocks’ methods of managing memory.

diff --git a/docs/en/administration/Metadata_recovery.md b/docs/en/administration/Metadata_recovery.md
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 # Restore FEs
 
 This topic describes how to restore the frontends (FEs) in your StarRocks cluster if the cluster is unavailable due to one of the following issues:

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 # Monitor and Alerting
 
 You can build your own monitoring services, or use the Prometheus + Grafana solution. StarRocks provides a Prometheus-compatible interface that directly links to the HTTP port of the BE and FE to obtain monitoring information from the cluster.

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 # Performance Optimization
 
 ## Table Creation

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 # Query Management
 
 ## Number of user connections

diff --git a/docs/en/administration/Query_planning.md b/docs/en/administration/Query_planning.md
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 # Query analysis
 
 How to optimize query performance is a frequently asked question. Slow queries impair user experience as well as cluster performance. It is important to analyze and optimize query performance.

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 # Replica management
 
 ## Terminology

diff --git a/docs/en/administration/Scale_up_down.md b/docs/en/administration/Scale_up_down.md
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 # Scale in and out
 
 This topic describes how to scale in and out the node of StarRocks.

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 # User Privilege
 
 Based on MySQL's permission management mechanism, StarRocks permission management system supports fine-grained permission control at table level, role-based access control, and whitelisting.

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 # File manager
 
 With file manager, you can create, view, and delete files, such as the files that are used to access external data sources: public key files, private key files, and certificate files. You can reference or access the created files by using commands.

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 # [Preview] Resource group
 
 This topic describes the resource group feature that StarRocks has started to provide since v2.2.

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 # Configure a time zone
 
 This topic describes how to configure a time zone.

diff --git a/docs/en/benchmarking/SSB_Benchmarking.md b/docs/en/benchmarking/SSB_Benchmarking.md
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 # SSB Flat-table Benchmarking
 
 Star schema benchmark (SSB) is designed to test basic performance metrics of OLAP database products. SSB uses a star schema test set that is widely applied in academia and industry. For more information, see the paper [Star Schema Benchmark](https://www.cs.umb.edu/~poneil/StarSchemaB.PDF).

diff --git a/docs/en/benchmarking/TPC-H_Benchmarking.md b/docs/en/benchmarking/TPC-H_Benchmarking.md
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 # TPC-H Benchmarking
 
 TPC-H is a decision support benchmark developed by the Transaction Processing Performance Council (TPC). It consists of a suite of business oriented ad-hoc queries and concurrent data modifications.

diff --git a/docs/en/data_source/External_table.md b/docs/en/data_source/External_table.md
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 # External tables
 
 StarRocks supports access to other data sources by using external tables. External tables are created based on data tables that are stored in other data sources. StarRocks only stores the metadata of the data tables. You can use external tables to directly query data in other data sources. StarRocks supports the following data sources: MySQL, Elasticsearch, Hive, StarRocks, Apache Iceberg, and Apache Hudi. **Currently, you can only write data from another StarRocks cluster into the current StarRocks cluster. You cannot read data from it. For data sources other than StarRocks, you can only read data from these data sources.**

diff --git a/docs/en/faq/Deploy_faq.md b/docs/en/faq/Deploy_faq.md
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 # Deployment
 
 This topic provides answers to some frequently asked questions about deployment.

diff --git a/docs/en/faq/Exporting_faq.md b/docs/en/faq/Exporting_faq.md
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 # Data Export
 
 ## Alibaba cloud OSS backup and restore

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 # Others FAQs
 
 This topic provides answers to some general questions.

diff --git a/docs/en/faq/Sql_faq.md b/docs/en/faq/Sql_faq.md
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 # SQL
 
 This topic provides answers to some frequently asked questions about SQL.

diff --git a/docs/en/faq/loading/Broker_load_faq.md b/docs/en/faq/loading/Broker_load_faq.md
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 # Broker Load
 
 ## In Broker Load, can a task that has already been executed successfully (State: FINISHED) be executed again?

diff --git a/docs/en/faq/loading/DataX_faq.md b/docs/en/faq/loading/DataX_faq.md
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 # DataX
 
 ## Why datax writer does not have writemode parameter? Why must the tables be created in the update mode?

diff --git a/docs/en/faq/loading/Flink_connector_faq.md b/docs/en/faq/loading/Flink_connector_faq.md
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 # Flink Connector
 
 ## flink-connector-jdbc_2.11sink is 8 hours late in StarRocks

diff --git a/docs/en/faq/loading/Insert_into_faq.md b/docs/en/faq/loading/Insert_into_faq.md
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 # Insert Into
 
 ## When performing data insert, each insert in SQL takes up 50 to 100ms. Is there any way to increase efficiency?

diff --git a/docs/en/faq/loading/Loading_faq.md b/docs/en/faq/loading/Loading_faq.md
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 # Loading
 
 ## Common issues in loading

diff --git a/docs/en/faq/loading/Routine_load_faq.md b/docs/en/faq/loading/Routine_load_faq.md
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 # Routine Load
 
 ## Does mysql binlog data produced by kafka count as text format data?

diff --git a/docs/en/faq/loading/Stream_load_faq.md b/docs/en/faq/loading/Stream_load_faq.md
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 # Stream Load
 
 ## Does Stream Load identify the column name of the first row in a text file? Or can I specify the first row not to be read？

diff --git a/docs/en/introduction/StarRocks_intro.md b/docs/en/introduction/StarRocks_intro.md
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 # Introduction
 
 ## What is StarRocks

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 # Load data from HDFS or cloud storage
 
 StarRocks provides the loading method MySQL-based Broker Load to help you load dozens to hundreds of gigabytes of data from HDFS or cloud storage into StarRocks.

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 # DataX writer
 
 ## Introduction

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 # Transform data at loading
 
 StarRocks supports data transformation at loading.

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 # Continuously load data from Apache Flink®
 
 This topic describes how to load data from Apache Flink® to StarRocks.

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 # Synchronize data from MySQL
 
 This topic describes how to synchronize data from MySQL to StarRocks in seconds by using Flink CDC Connector, flink-starrocks-connector, and StarRocks Migration Tools (SMT).

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 # Insert Into Loading
 
 The Insert Into statement is used similarly to the Insert Into statement in databases (e.g. MySQL).

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 # Introduction
 
 You can import semi-structured data (for example, JSON) by using stream load or routine load.

diff --git a/docs/en/loading/Load_to_Primary_Key_tables.md b/docs/en/loading/Load_to_Primary_Key_tables.md
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 # Change data through loading
 
 The [Primary Key](../table_design/Data_model.md#primary-key-model) model provided by StarRocks allows you to make data changes to StarRocks tables by running [Stream Load](../loading/StreamLoad.md), [Broker Load](../loading/BrokerLoad.md), or [Routine Load](../loading/RoutineLoad.md) jobs. These data changes include inserts, updates, and deletions.

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 # Overview of data loading
 
 Data loading is the process of cleansing and transforming raw data from various data sources based on your business requirements and loading the resulting data into StarRocks to facilitate blazing-fast data analytics.

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 # Routine Load
 
 The Routine load method supports continuous import of data from Kafka. Routine load can be paused, restarted, stopped by SQL. This section introduces the basic principle and usage of this method.

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 # Spark Load
 
 This load uses external Apache Spark™ resources to pre-process imported data, which improves import performance and saves compute resources. It is mainly used for **initial migration** and **large data import** into StarRocks (data volume up to TB level).

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 # Load data from a local file system or a streaming data source using HTTP push
 
 StarRocks provides the loading method HTTP-based Stream Load to help you load data from a local file system or a streaming data source.

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 # Architecture
 
 ## System Architecture Diagram

diff --git a/docs/en/quick_start/Concepts.md b/docs/en/quick_start/Concepts.md
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 # Basic Concepts of StarRocks
 
 * FE: The StarRocks frontend node is responsible for metadata management, management of client connectors, query planning, query scheduling, and so on.

diff --git a/docs/en/quick_start/Data_flow_and_control_flow.md b/docs/en/quick_start/Data_flow_and_control_flow.md
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 # Data Flow and Control Flow
 
 ## Query