- What's New
- Function Overview
- Product Bulletin
- Service Overview
-
Billing
- Billing Overview
- Billing for Compute Resources
- Billing for Storage Resources
- Billing for Scanned Data
- Package Billing
- Billing Examples
- Renewing Subscriptions
- Bills
- Arrears
- Billing Termination
-
Billing FAQ
- What Billing Modes Does DLI Offer?
- When Is a Data Lake Queue Idle?
- How Do I Troubleshoot DLI Billing Issues?
- Why Am I Still Being Billed on a Pay-per-Use Basis After I Purchased a Package?
- How Do I View the Usage of a Package?
- How Do I View a Job's Scanned Data Volume?
- Would a Pay-Per-Use Elastic Resource Pool Not Be Billed if No Job Is Submitted for Execution?
- Do I Need to Pay Extra Fees for Purchasing a Queue Billed Based on the Scanned Data Volume?
- How Is the Usage Beyond the Package Limit Billed?
- What Are the Actual CUs, CU Range, and Specifications of an Elastic Resource Pool?
- Change History
- Getting Started
-
User Guide
- DLI Job Development Process
- Preparations
-
Creating an Elastic Resource Pool and Queues Within It
- Overview of DLI Elastic Resource Pools and Queues
- Creating an Elastic Resource Pool and Creating Queues Within It
- Managing Elastic Resource Pools
-
Managing Queues
- Viewing Basic Information About a Queue
- Queue Permission Management
- Allocating a Queue to an Enterprise Project
- Creating an SMN Topic
- Managing Queue Tags
- Setting Queue Properties
- Testing Address Connectivity
- Deleting a Queue
- Auto Scaling of Standard Queues
- Setting a Scheduled Auto Scaling Task for a Standard Queue
- Changing the CIDR Block for a Standard Queue
- Example Use Case: Creating an Elastic Resource Pool and Running Jobs
- Example Use Case: Configuring Scaling Policies for Queues in an Elastic Resource Pool
- Creating a Non-Elastic Resource Pool Queue (Discarded and Not Recommended)
- Creating Databases and Tables
-
Data Migration and Transmission
- Overview
-
Migrating Data from External Data Sources to DLI
- Overview of Data Migration Scenarios
- Using CDM to Migrate Data to DLI
- Example Typical Scenario: Migrating Data from Hive to DLI
- Example Typical Scenario: Migrating Data from Kafka to DLI
- Example Typical Scenario: Migrating Data from Elasticsearch to DLI
- Example Typical Scenario: Migrating Data from RDS to DLI
- Example Typical Scenario: Migrating Data from GaussDB(DWS) to DLI
-
Configuring DLI to Read and Write Data from and to External Data Sources
- Configuring DLI to Read and Write External Data Sources
- Configuring the Network Connection Between DLI and Data Sources (Enhanced Datasource Connection)
- Using DEW to Manage Access Credentials for Data Sources
- Using DLI Datasource Authentication to Manage Access Credentials for Data Sources
-
Managing Enhanced Datasource Connections
- Viewing Basic Information About an Enhanced Datasource Connection
- Enhanced Connection Permission Management
- Binding an Enhanced Datasource Connection to an Elastic Resource Pool
- Unbinding an Enhanced Datasource Connection from an Elastic Resource Pool
- Adding a Route for an Enhanced Datasource Connection
- Deleting the Route for an Enhanced Datasource Connection
- Modifying Host Information in an Elastic Resource Pool
- Enhanced Datasource Connection Tag Management
- Deleting an Enhanced Datasource Connection
- Example Typical Scenario: Connecting DLI to a Data Source on a Private Network
- Example Typical Scenario: Connecting DLI to a Data Source on a Public Network
- Configuring an Agency to Allow DLI to Access Other Cloud Services
- Submitting a SQL Job Using DLI
- Submitting a Flink Job Using DLI
- Submitting a Spark Job Using DLI
- Submitting a DLI Job Using a Notebook Instance
- Using Cloud Eye to Monitor DLI
- Using CTS to Audit DLI
- Permissions Management
- Common DLI Management Operations
-
Best Practices
- Overview
- Analyzing Driving Behavior Data in IoV Scenarios Using DLI
- Converting Data Format from CSV to Parquet
- Analyzing E-Commerce BI Reports Using DLI
- Analyzing Billing Consumption Data Using DLI
- Analyzing Real-time E-Commerce Business Data Using DLI
-
Connecting BI Tools to DLI for Data Analysis
- Overview
- Connecting DBeaver to DLI for Data Analysis and Query
- Connecting DBT to DLI for Data Scheduling and Analysis
- Connecting Yonghong BI to DLI for Data Query and Analysis
- Connecting Power BI to DLI Using Kyuubi for Data Analysis and Query
- Connecting FineBI to DLI Using Kyuubi for Data Analysis and Query
- Connecting Superset to DLI Using Kyuubi for Data Analysis and Query
- Connecting Tableau to DLI Using Kyuubi for Data Analysis and Query
- Connecting Beeline to DLI Using Kyuubi for Data Analysis and Query
-
Developer Guide
- Connecting to DLI Using a Client
- SQL Jobs
-
Flink Jobs
- Stream Ecosystem
-
Flink OpenSource SQL Jobs
- Reading Data from Kafka and Writing Data to RDS
- Reading Data from Kafka and Writing Data to GaussDB(DWS)
- Reading Data from Kafka and Writing Data to Elasticsearch
- Reading Data from MySQL CDC and Writing Data to GaussDB(DWS)
- Reading Data from PostgreSQL CDC and Writing Data to GaussDB(DWS)
- Configuring High-Reliability Flink Jobs (Automatic Restart upon Exceptions)
- Flink Jar Job Examples
- Writing Data to OBS Using Flink Jar
- Using Flink Jar to Connect to Kafka that Uses SASL_SSL Authentication
- Using Flink Jar to Read and Write Data from and to DIS
- Flink Job Agencies
-
Spark Jar Jobs
- Using Spark Jar Jobs to Read and Query OBS Data
- Using the Spark Job to Access DLI Metadata
- Using Spark Jobs to Access Data Sources of Datasource Connections
- Spark Jar Jobs Using DEW to Acquire Access Credentials for Reading and Writing Data from and to OBS
- Obtaining Temporary Credentials from a Spark Job's Agency for Accessing Other Cloud Services
-
Spark SQL Syntax Reference
- Common Configuration Items
- Spark SQL Syntax
- Spark Open Source Commands
- Databases
-
Tables
- Creating an OBS Table
- Creating a DLI Table
- Deleting a Table
- Viewing a Table
- Modifying a Table
-
Partition-related Syntax
- Adding Partition Data (Only OBS Tables Supported)
- Renaming a Partition (Only OBS Tables Supported)
- Deleting a Partition
- Deleting Partitions by Specifying Filter Criteria (Only Supported on OBS Tables)
- Altering the Partition Location of a Table (Only OBS Tables Supported)
- Updating Partitioned Table Data (Only OBS Tables Supported)
- Updating Table Metadata with REFRESH TABLE
- Backing Up and Restoring Data of Multiple Versions
- Table Lifecycle Management
- Data
- Exporting Query Results
-
Datasource Connections
- Creating a Datasource Connection with an HBase Table
- Creating a Datasource Connection with an OpenTSDB Table
- Creating a Datasource Connection with a DWS Table
- Creating a Datasource Connection with an RDS Table
- Creating a Datasource Connection with a CSS Table
- Creating a Datasource Connection with a DCS Table
- Creating a Datasource Connection with a DDS Table
- Creating a Datasource Connection with an Oracle Table
- Views
- Viewing the Execution Plan
- Data Permissions
- Data Types
- User-Defined Functions
-
Built-In Functions
-
Date Functions
- Overview
- add_months
- current_date
- current_timestamp
- date_add
- dateadd
- date_sub
- date_format
- datediff
- datediff1
- datepart
- datetrunc
- day/dayofmonth
- from_unixtime
- from_utc_timestamp
- getdate
- hour
- isdate
- last_day
- lastday
- minute
- month
- months_between
- next_day
- quarter
- second
- to_char
- to_date
- to_date1
- to_utc_timestamp
- trunc
- unix_timestamp
- weekday
- weekofyear
- year
-
String Functions
- Overview
- ascii
- concat
- concat_ws
- char_matchcount
- encode
- find_in_set
- get_json_object
- instr
- instr1
- initcap
- keyvalue
- length
- lengthb
- levenshtein
- locate
- lower/lcase
- lpad
- ltrim
- parse_url
- printf
- regexp_count
- regexp_extract
- replace
- regexp_replace
- regexp_replace1
- regexp_instr
- regexp_substr
- repeat
- reverse
- rpad
- rtrim
- soundex
- space
- substr/substring
- substring_index
- split_part
- translate
- trim
- upper/ucase
- Mathematical Functions
- Aggregate Functions
- Window Functions
- Other Functions
-
Date Functions
- SELECT
-
Identifiers
- aggregate_func
- alias
- attr_expr
- attr_expr_list
- attrs_value_set_expr
- boolean_expression
- class_name
- col
- col_comment
- col_name
- col_name_list
- condition
- condition_list
- cte_name
- data_type
- db_comment
- db_name
- else_result_expression
- file_format
- file_path
- function_name
- groupby_expression
- having_condition
- hdfs_path
- input_expression
- input_format_classname
- jar_path
- join_condition
- non_equi_join_condition
- number
- num_buckets
- output_format_classname
- partition_col_name
- partition_col_value
- partition_specs
- property_name
- property_value
- regex_expression
- result_expression
- row_format
- select_statement
- separator
- serde_name
- sql_containing_cte_name
- sub_query
- table_comment
- table_name
- table_properties
- table_reference
- view_name
- view_properties
- when_expression
- where_condition
- window_function
- Operators
-
Flink SQL Syntax Reference
-
Flink OpenSource SQL 1.15 Syntax Reference
- Constraints and Definitions
- Overview
- Flink OpenSource SQL 1.15 Usage
- Formats
- Connectors
- DML Snytax
-
Functions
- UDFs
- Type Inference
- Parameter Transfer
-
Built-In Functions
- Comparison Functions
- Logical Functions
- Arithmetic Functions
- String Functions
- Temporal Functions
- Conditional Functions
- Type Conversion Functions
- Collection Functions
- JSON Functions
- Value Construction Functions
- Value Retrieval Functions
- Grouping Functions
- Hash Functions
- Aggregate Functions
- Table-Valued Functions
- Flink OpenSource SQL 1.12 Syntax Reference
-
Flink Opensource SQL 1.10 Syntax Reference
- Constraints and Definitions
- Flink OpenSource SQL 1.10 Syntax
-
Data Definition Language (DDL)
- Creating a Source Table
-
Creating a Result Table
- ClickHouse Result Table
- Kafka Result Table
- Upsert Kafka Result Table
- DIS Result Table
- JDBC Result Table
- GaussDB(DWS) Result Table
- Redis Result Table
- SMN Result Table
- HBase Result Table
- Elasticsearch Result Table
- OpenTSDB Result Table
- User-defined Result Table
- Print Result Table
- File System Result Table
- Creating a Dimension Table
- Data Manipulation Language (DML)
- Functions
-
Flink OpenSource SQL 1.15 Syntax Reference
-
HetuEngine SQL Syntax Reference
-
HetuEngine SQL Syntax
- Before You Start
- Data Type
-
DDL Syntax
- CREATE SCHEMA
- CREATE TABLE
- CREATE TABLE AS
- CREATE TABLE LIKE
- CREATE VIEW
- ALTER TABLE
- ALTER VIEW
- ALTER SCHEMA
- DROP SCHEMA
- DROP TABLE
- DROP VIEW
- TRUNCATE TABLE
- COMMENT
- VALUES
- SHOW Syntax Overview
- SHOW SCHEMAS (DATABASES)
- SHOW TABLES
- SHOW TBLPROPERTIES TABLE|VIEW
- SHOW TABLE/PARTITION EXTENDED
- SHOW FUNCTIONS
- SHOW PARTITIONS
- SHOW COLUMNS
- SHOW CREATE TABLE
- SHOW VIEWS
- SHOW CREATE VIEW
- DML Syntax
- DQL Syntax
- Auxiliary Command Syntax
- Reserved Keywords
-
SQL Functions and Operators
- Logical Operators
- Comparison Functions and Operators
- Condition Expression
- Lambda Expression
- Conversion Functions
- Mathematical Functions and Operators
- Bitwise Functions
- Decimal Functions and Operators
- String Functions and Operators
- Regular Expressions
- Binary Functions and Operators
- JSON Functions and Operators
- Date and Time Functions and Operators
- Aggregate Functions
- Window Functions
- Array Functions and Operators
- Map Functions and Operators
- URL Function
- UUID Function
- Color Function
- Teradata Function
- Data Masking Functions
- IP Address Functions
- Quantile Digest Functions
- T-Digest Functions
- Implicit Data Type Conversion
- Appendix
-
HetuEngine SQL Syntax
- Delta SQL Syntax Reference
-
API Reference
- Before You Start
- Overview
- Calling APIs
- Getting Started
- Permission-related APIs
- Global Variable-related APIs
- APIs Related to Resource Tags
-
APIs Related to Enhanced Datasource Connections
- Creating an Enhanced Datasource Connection
- Deleting an Enhanced Datasource Connection
- Listing Enhanced Datasource Connections
- Querying an Enhanced Datasource Connection
- Binding a Queue
- Unbinding a Queue
- Modifying Host Information
- Querying Authorization of an Enhanced Datasource Connection
- Creating a Route
- Deleting a Route
- Datasource Authentication-related APIs
-
APIs Related to Elastic Resource Pools
- Creating an Elastic Resource Pool
- Querying All Elastic Resource Pools
- Deleting an Elastic Resource Pool
- Modifying Elastic Resource Pool Information
- Querying All Queues in an Elastic Resource Pool
- Associating a Queue with an Elastic Resource Pool
- Viewing Scaling History of an Elastic Resource Pool
- Modifying the Scaling Policy of a Queue Associated with an Elastic Resource Pool
- Queue-related APIs (Recommended)
- SQL Job-related APIs
- SQL Template-related APIs
-
Flink Job-related APIs
- Creating a SQL Job
- Updating a SQL Job
- Creating a Flink Jar job
- Updating a Flink Jar Job
- Running Jobs in Batches
- Listing Jobs
- Querying Job Details
- Querying the Job Execution Plan
- Stopping Jobs in Batches
- Deleting a Job
- Deleting Jobs in Batches
- Exporting a Flink Job
- Importing a Flink Job
- Generating a Static Stream Graph for a Flink SQL Job
- APIs Related to Flink Job Templates
- Flink Job Management APIs
- Spark Job-related APIs
- APIs Related to Spark Job Templates
- Permissions Policies and Supported Actions
-
Out-of-Date APIs
- Agency-related APIs (Discarded)
-
Package Group-related APIs (Discarded)
- Uploading a Package Group (Discarded)
- Listing Package Groups (Discarded)
- Uploading a JAR Package Group (Discarded)
- Uploading a PyFile Package Group (Discarded)
- Uploading a File Package Group (Discarded)
- Querying Resource Packages in a Group (Discarded)
- Deleting a Resource Package from a Group (Discarded)
- Changing the Owner of a Group or Resource Package (Discarded)
- APIs Related to Spark Batch Processing (Discarded)
- SQL Job-related APIs (Discarded)
- Resource-related APIs (Discarded)
- Permission-related APIs (Discarded)
- Queue-related APIs (Discarded)
- Datasource Authentication-related APIs (Discarded)
- APIs Related to Enhanced Datasource Connections (Discarded)
- Template-related APIs (Discarded)
- Table-related APIs (Discarded)
- APIs Related to SQL Jobs (Discarded)
- APIs Related to Data Upload (Discarded)
- Cluster-related APIs
- APIs Related to Flink Jobs (Discarded)
- Public Parameters
- SDK Reference
-
FAQs
-
DLI Basics
- What Are the Differences Between DLI Flink and MRS Flink?
- What Are the Differences Between MRS Spark and DLI Spark?
- How Do I Upgrade the Engine Version of a DLI Job?
- Where Can Data Be Stored in DLI?
- Can I Import OBS Bucket Data Shared by Other Tenants into DLI?
- Regions and AZs
- Can a Member Account Use Global Variables Created by Other Member Accounts?
- Is DLI Affected by the Apache Spark Command Injection Vulnerability (CVE-2022-33891)?
- How Do I Manage Jobs Running on DLI?
- How Do I Change the Field Names of an Existing Table on DLI?
-
DLI Elastic Resource Pools and Queues
- How Can I Check the Actual and Used CUs for an Elastic Resource Pool as Well as the Required CUs for a Job?
- How Do I Check for a Backlog of Jobs in the Current DLI Queue?
- How Do I View the Load of a DLI Queue?
- How Do I Monitor Job Exceptions on a DLI Queue?
- How Do I Migrate an Old Version Spark Queue to a General-Purpose Queue?
- How Do I Do If I Encounter a Timeout Exception When Executing DLI SQL Statements on the default Queue?
-
DLI Databases and Tables
- Why Am I Unable to Query a Table on the DLI Console?
- How Do I Do If the Compression Rate of an OBS Table Is High?
- How Do I Do If Inconsistent Character Encoding Leads to Garbled Characters?
- Do I Need to to Regrant Permissions to Users and Projects After Deleting and Recreating a Table With the Same Name?
- How Do I Do If Files Imported Into a DLI Partitioned Table Lack Data for the Partition Columns, Causing Query Failures After the Import Is Completed?
- How Do I Fix Incorrect Data in an OBS Foreign Table Caused by Newline Characters in OBS File Fields?
- How Do I Prevent a Cartesian Product Query and Resource Overload Due to Missing "ON" Conditions in Table Joins?
- How Do I Do If I Can't Query Data After Manually Adding It to the Partition Directory of an OBS Table?
- Why Does the "insert overwrite" Operation Affect All Data in a Partitioned Table Instead of Just the Targeted Partition?
- Why Does the "create_date" Field in an RDS Table (Datetime Data Type) Appear as a Timestamp in DLI Queries?
- How Do I Do If Renaming a Table After a SQL Job Causes Incorrect Data Size?
- How Can I Resolve Data Inconsistencies When Importing Data from DLI to OBS?
-
Enhanced Datasource Connections
- How Do I Do If I Can't Bind an Enhanced Datasource Connection to a Queue?
- How Do I Resolve a Failure in Connecting DLI to GaussDB(DWS) Through an Enhanced Datasource Connection?
- How Do I Do If the Datasource Connection Is Successfully Created but the Network Connectivity Test Fails?
- How Do I Configure Network Connectivity Between a DLI Queue and a Data Source?
- Why Is Creating a VPC Peering Connection Necessary for Enhanced Datasource Connections in DLI?
- How Do I Do If Creating a Datasource Connection in DLI Gets Stuck in the "Creating" State When Binding It to a Queue?
- How Do I Resolve the "communication link failure" Error When Using a Newly Created Datasource Connection That Appears to Be Activated?
- How Do I Troubleshoot a Connection Timeout Issue That Isn't Recorded in Logs When Accessing MRS HBase Through a Datasource Connection?
- How Do I Fix the "Failed to get subnet" Error When Creating a Datasource Connection in DLI?
- How Do I Do If I Encounter the "Incorrect string value" Error When Executing insert overwrite on a Datasource RDS Table?
- How Do I Resolve the Null Pointer Error When Creating an RDS Datasource Table?
- Error Message "org.postgresql.util.PSQLException: ERROR: tuple concurrently updated" Is Displayed When the System Executes insert overwrite on a Datasource GaussDB(DWS) Table
- RegionTooBusyException Is Reported When Data Is Imported to a CloudTable HBase Table Through a Datasource Table
- How Do I Do If A Null Value Is Written Into a Non-Null Field When Using a DLI Datasource Connection to Connect to a GaussDB(DWS) Table?
- How Do I Do If an Insert Operation Failed After the Schema of the GaussDB(DWS) Source Table Is Updated?
- How Do I Insert Data into an RDS Table with an Auto-Increment Primary Key Using DLI?
-
SQL Jobs
-
SQL Job Development
- SQL Jobs
- How Do I Merge Small Files?
- How Do I Use DLI to Access Data in an OBS Bucket?
- How Do I Specify an OBS Path When Creating an OBS Table?
- How Do I Create a Table Using JSON Data in an OBS Bucket?
- How Can I Use the count Function to Perform Aggregation?
- How Do I Synchronize DLI Table Data Across Regions?
- How Do I Insert Table Data into Specific Fields of a Table Using a SQL Job?
- How Do I Troubleshoot Slow SQL Jobs?
- How Do I View DLI SQL Logs?
- How Do I View SQL Execution Records in DLI?
- How Do I Do When Data Skew Occurs During the Execution of a SQL Job?
- Why Does a SQL Job That Has Join Operations Stay in the Running State?
- Why Is a SQL Job Stuck in the Submitting State?
-
SQL Job O&M
- Why Is Error "path obs://xxx already exists" Reported When Data Is Exported to OBS?
- Why Is Error "SQL_ANALYSIS_ERROR: Reference 't.id' is ambiguous, could be: t.id, t.id.;" Displayed When Two Tables Are Joined?
- Why Is Error "The current account does not have permission to perform this operation,the current account was restricted. Restricted for no budget." Reported when a SQL Statement Is Executed?
- Why Is Error "There should be at least one partition pruning predicate on partitioned table XX.YYY" Reported When a Query Statement Is Executed?
- Why Is Error "IllegalArgumentException: Buffer size too small. size" Reported When Data Is Loaded to an OBS Foreign Table?
- Why Is Error "DLI.0002 FileNotFoundException" Reported During SQL Job Running?
- Why Is a Schema Parsing Error Reported When I Create a Hive Table Using CTAS?
- Why Is Error "org.apache.hadoop.fs.obs.OBSIOException" Reported When I Run DLI SQL Scripts on DataArts Studio?
- Why Is Error "UQUERY_CONNECTOR_0001:Invoke DLI service api failed" Reported in the Job Log When I Use CDM to Migrate Data to DLI?
- Why Is Error "File not Found" Reported When I Access a SQL Job?
- Why Is Error "DLI.0003: AccessControlException XXX" Reported When I Access a SQL Job?
- Why Is Error "DLI.0001: org.apache.hadoop.security.AccessControlException: verifyBucketExists on {{bucket name}}: status [403]" Reported When I Access a SQL Job?
- Why Am I Seeing the Error Message "The current account does not have permission to perform this operation,the current account was restricted. Restricted for no budget" When Executing a SQL Statement?
-
SQL Job Development
-
Flink Jobs
-
Flink Job Consulting
- How Do I Authorize a Subuser to View Flink Jobs?
- How Do I Configure Auto Restart upon Exception for a Flink Job?
- How Do I Save Logs for Flink Jobs?
- Why Is Error "No such user. userName:xxxx." Reported on the Flink Job Management Page When I Grant Permission to a User?
- How Do I Restore a Flink Job from a Specific Checkpoint After Manually Stopping the Job?
- Why Is a Message Displayed Indicating That the SMN Topic Does Not Exist When I Use the SMN Topic in DLI?
-
Flink SQL Jobs
- How Do I Map an OBS Table to a DLI Partitioned Table?
- How Do I Change the Number of Kafka Partitions in a Flink SQL Job Without Stopping It?
- How Do I Fix the DLI.0005 Error When Using EL Expressions to Create a Table in a Flink SQL Job?
- Why Is No Data Queried in the DLI Table Created Using the OBS File Path When Data Is Written to OBS by a Flink Job Output Stream?
- Why Does a Flink SQL Job Fails to Be Executed, and Is "connect to DIS failed java.lang.IllegalArgumentException: Access key cannot be null" Displayed in the Log?
- Data Writing Fails After a Flink SQL Job Consumed Kafka and Sank Data to the Elasticsearch Cluster
- How Does Flink Opensource SQL Parse Nested JSON?
- Why Is the Time Read by a Flink OpenSource SQL Job from the RDS Database Is Different from the RDS Database Time?
- Why Does Job Submission Fail When the failure-handler Parameter of the Elasticsearch Result Table for a Flink Opensource SQL Job Is Set to retry_rejected?
- How Do I Configure Connection Retries for Kafka Sink If it is Disconnected?
- How Do I Write Data to Different Elasticsearch Clusters in a Flink Job?
- Why Does DIS Stream Not Exist During Job Semantic Check?
- Why Is Error "Timeout expired while fetching topic metadata" Repeatedly Reported in Flink JobManager Logs?
-
Flink Jar Jobs
- Can I Upload Configuration Files for Flink Jar Jobs?
- Why Does a Flink Jar Package Conflict Result in Job Submission Failure?
- Why Does a Flink Jar Job Fail to Access GaussDB(DWS) and a Message Is Displayed Indicating Too Many Client Connections?
- Why Is Error Message "Authentication failed" Displayed During Flink Jar Job Running?
- Why Is Error Invalid OBS Bucket Name Reported After a Flink Job Submission Failed?
- Why Does the Flink Submission Fail Due to Hadoop JAR File Conflict?
- How Do I Locate a Flink Job Submission Error?
-
Flink Job Performance Tuning
- What Is the Recommended Configuration for a Flink Job?
- Flink Job Performance Tuning
- How Do I Prevent Data Loss After Flink Job Restart?
- How Do I Locate a Flink Job Running Error?
- How Can I Check if a Flink Job Can Be Restored From a Checkpoint After Restarting It?
- Why Are Logs Not Written to the OBS Bucket After a DLI Flink Job Fails to Be Submitted for Running?
- Why Is the Flink Job Abnormal Due to Heartbeat Timeout Between JobManager and TaskManager?
-
Flink Job Consulting
-
Spark Jobs
-
Spark Job Development
- Spark Jobs
- How Do I Use Spark to Write Data into a DLI Table?
- How Do I Set Up AK/SK So That a General Queue Can Access Tables Stored in OBS?
- How Do I View the Resource Usage of DLI Spark Jobs?
- How Do I Use Python Scripts to Access the MySQL Database If the pymysql Module Is Missing from the Spark Job Results Stored in MySQL?
- How Do I Run a Complex PySpark Program in DLI?
- How Do I Use JDBC to Set the spark.sql.shuffle.partitions Parameter to Improve the Task Concurrency?
- How Do I Read Uploaded Files for a Spark Jar Job?
- Why Can't I Find the Specified Python Environment After Adding the Python Package?
- Why Is a Spark Jar Job Stuck in the Submitting State?
-
Spark Job O&M
- What Can I Do When Receiving java.lang.AbstractMethodError in the Spark Job?
- Why Do I Get "ResponseCode: 403" and "ResponseStatus: Forbidden" Errors When a Spark Job Accesses OBS Data?
- Why Do I Encounter the Error "verifyBucketExists on XXXX: status [403]" When Using a Spark Job to Access an OBS Bucket That I Have Permission to Access?
- Why Does a Job Running Timeout Occur When Processing a Large Amount of Data with a Spark Job?
- Why Does a Spark Job Fail to Execute with an Abnormal Access Directory Error When Accessing Files in SFTP?
- Why Does the Job Fail to Be Executed Due to Insufficient Database and Table Permissions?
- Why Is the global_temp Database Missing in the Job Log of Spark 3.x?
- Why Does Using DataSource Syntax to Create an OBS Table of Avro Type Fail When Accessing Metadata With Spark 2.3.x?
-
Spark Job Development
- DLI Resource Quotas
-
DLI Permissions Management
- How Do I Do If I Receive an Error Message Stating That I Do Not Have Sufficient Permissions When Creating a Table After Upgrading the Engine Version of a Queue?
- What Is Column-Level Authorization for DLI Partitioned Tables?
- How Do I Do If I Encounter Insufficient Permissions While Updating Packages?
- Why Is Error "DLI.0003: Permission denied for resource..." Reported When I Run a SQL Statement?
- How Do I Do If I Can't Query Table Data After Being Granted Table Permissions?
- Will Granting Duplicate Permissions to a Table After Inheriting Database Permissions Cause an Error?
- Why Can't I Query a View After I'm Granted the Select Table Permission on the View?
- How Do I Do If I Receive a Message Saying I Don't Have Sufficient Permissions to Submit My Jobs to the Job Bucket?
- How Do I Resolve an Unauthorized OBS Bucket Error?
- DLI APIs
-
DLI Basics
-
More Documents
-
User Guide (ME-Abu Dhabi Region)
- DLI Introduction
- Getting Started
- DLI Console Overview
- SQL Editor
- Job Management
- Queue Management
- Data Management
- Job Templates
- Datasource Connections
- Global Configuration
- UDFs
- Permissions Management
- Change History
-
API Reference (ME-Abu Dhabi Region)
- Before You Start
- Overview
- Calling APIs
- Getting Started
- Permission-related APIs
- Queue-related APIs (Recommended)
- APIs Related to SQL Jobs
- Package Group-related APIs
-
APIs Related to Flink Jobs
- Granting OBS Permissions to DLI
- Creating a SQL Job
- Updating a SQL Job
- Creating a Flink Jar job
- Updating a Flink Jar Job
- Running Jobs in Batches
- Querying the Job List
- Querying Job Details
- Querying the Job Execution Plan
- Stopping Jobs in Batches
- Deleting a Job
- Deleting Jobs in Batches
- Exporting a Flink Job
- Importing a Flink Job
- APIs Related to Spark jobs
- APIs Related to Flink Job Templates
-
APIs Related to Enhanced Datasource Connections
- Creating an Enhanced Datasource Connection
- Deleting an Enhanced Datasource Connection
- Querying an Enhanced Datasource Connection List
- Querying an Enhanced Datasource Connection
- Binding a Queue
- Unbinding a Queue
- Modifying the Host Information
- Querying Authorization of an Enhanced Datasource Connection
- Global Variable-related APIs
- Public Parameters
- Change History
-
SQL Syntax Reference (ME-Abu Dhabi Region)
-
Spark SQL Syntax Reference
- Common Configuration Items of Batch SQL Jobs
- SQL Syntax Overview of Batch Jobs
- Spark Open Source Commands
- Databases
- Creating an OBS Table
- Creating a DLI Table
- Deleting a Table
- Checking Tables
- Modifying a Table
-
Syntax for Partitioning a Table
- Adding Partition Data (Only OBS Tables Supported)
- Renaming a Partition (Only OBS Tables Supported)
- Deleting a Partition
- Deleting Partitions by Specifying Filter Criteria (Only Supported on OBS Tables)
- Altering the Partition Location of a Table (Only OBS Tables Supported)
- Updating Partitioned Table Data (Only OBS Tables Supported)
- Updating Table Metadata with REFRESH TABLE
- Importing Data to the Table
- Inserting Data
- Clearing Data
- Exporting Search Results
- Backing Up and Restoring Data of Multiple Versions
- Table Lifecycle Management
- Creating a Datasource Connection with an HBase Table
- Creating a Datasource Connection with an OpenTSDB Table
- Creating a Datasource Connection with a DWS table
- Creating a Datasource Connection with an RDS Table
- Creating a Datasource Connection with a CSS Table
- Creating a Datasource Connection with a DCS Table
- Creating a Datasource Connection with a DDS Table
- Creating a Datasource Connection with an Oracle Table
- Views
- Checking the Execution Plan
- Data Permissions Management
- Data Types
- User-Defined Functions
-
Built-in Functions
-
Date Functions
- Overview
- add_months
- current_date
- current_timestamp
- date_add
- dateadd
- date_sub
- date_format
- datediff
- datediff1
- datepart
- datetrunc
- day/dayofmonth
- from_unixtime
- from_utc_timestamp
- getdate
- hour
- isdate
- last_day
- lastday
- minute
- month
- months_between
- next_day
- quarter
- second
- to_char
- to_date
- to_date1
- to_utc_timestamp
- trunc
- unix_timestamp
- weekday
- weekofyear
- year
-
String Functions
- Overview
- ascii
- concat
- concat_ws
- char_matchcount
- encode
- find_in_set
- get_json_object
- instr
- instr1
- initcap
- keyvalue
- length
- lengthb
- levenshtein
- locate
- lower/lcase
- lpad
- ltrim
- parse_url
- printf
- regexp_count
- regexp_extract
- replace
- regexp_replace
- regexp_replace1
- regexp_instr
- regexp_substr
- repeat
- reverse
- rpad
- rtrim
- soundex
- space
- substr/substring
- substring_index
- split_part
- translate
- trim
- upper/ucase
- Mathematical Functions
- Aggregate Functions
- Window Functions
- Other Functions
-
Date Functions
- Basic SELECT Statements
- Filtering
- Sorting
- Grouping
- JOIN
- Subquery
- Alias
- Set Operations
- WITH...AS
- CASE...WHEN
- OVER Clause
- Flink OpenSource SQL 1.12 Syntax Reference
-
Flink Opensource SQL 1.10 Syntax Reference
- Constraints and Definitions
- Flink OpenSource SQL 1.10 Syntax
-
Data Definition Language (DDL)
- Creating a Source Table
-
Creating a Result Table
- ClickHouse Result Table
- Kafka Result Table
- Upsert Kafka Result Table
- DIS Result Table
- JDBC Result Table
- GaussDB(DWS) Result Table
- Redis Result Table
- SMN Result Table
- HBase Result Table
- Elasticsearch Result Table
- OpenTSDB Result Table
- User-defined Result Table
- Print Result Table
- File System Result Table
- Creating a Dimension Table
- Data Manipulation Language (DML)
- Functions
-
Historical Versions
-
Flink SQL Syntax
- SQL Syntax Constraints and Definitions
- SQL Syntax Overview of Stream Jobs
- Creating a Source Stream
-
Creating a Sink Stream
- MRS OpenTSDB Sink Stream
- CSS Elasticsearch Sink Stream
- DCS Sink Stream
- DDS Sink Stream
- DIS Sink Stream
- DMS Sink Stream
- DWS Sink Stream (JDBC Mode)
- DWS Sink Stream (OBS-based Dumping)
- MRS HBase Sink Stream
- MRS Kafka Sink Stream
- Open-Source Kafka Sink Stream
- File System Sink Stream (Recommended)
- OBS Sink Stream
- RDS Sink Stream
- SMN Sink Stream
- Creating a Temporary Stream
- Creating a Dimension Table
- Custom Stream Ecosystem
- Data Type
- Built-In Functions
- User-Defined Functions
- Geographical Functions
- SELECT
- Condition Expression
- Window
- JOIN Between Stream Data and Table Data
- Configuring Time Models
- Pattern Matching
- StreamingML
- Reserved Keywords
-
Flink SQL Syntax
-
Identifiers
- aggregate_func
- alias
- attr_expr
- attr_expr_list
- attrs_value_set_expr
- boolean_expression
- col
- col_comment
- col_name
- col_name_list
- condition
- condition_list
- cte_name
- data_type
- db_comment
- db_name
- else_result_expression
- file_format
- file_path
- function_name
- groupby_expression
- having_condition
- input_expression
- join_condition
- non_equi_join_condition
- number
- partition_col_name
- partition_col_value
- partition_specs
- property_name
- property_value
- regex_expression
- result_expression
- select_statement
- separator
- sql_containing_cte_name
- sub_query
- table_comment
- table_name
- table_properties
- table_reference
- when_expression
- where_condition
- window_function
- Operators
-
Spark SQL Syntax Reference
- User Guide (Paris Region)
-
API Reference (Paris Region)
- Before You Start
- Overview
- Calling APIs
- Getting Started
- Permission-related APIs
- Queue-related APIs (Recommended)
- APIs Related to SQL Jobs
- Package Group-related APIs
-
APIs Related to Flink Jobs
- Granting OBS Permissions to DLI
- Creating a SQL Job
- Updating a SQL Job
- Creating a Flink Jar job
- Updating a Flink Jar Job
- Running Jobs in Batches
- Querying the Job List
- Querying Job Details
- Querying the Job Execution Plan
- Stopping Jobs in Batches
- Deleting a Job
- Deleting Jobs in Batches
- Exporting a Flink Job
- Importing a Flink Job
- APIs Related to Spark jobs
- APIs Related to Flink Job Templates
-
APIs Related to Enhanced Datasource Connections
- Creating an Enhanced Datasource Connection
- Deleting an Enhanced Datasource Connection
- Querying an Enhanced Datasource Connection List
- Querying an Enhanced Datasource Connection
- Binding a Queue
- Unbinding a Queue
- Modifying the Host Information
- Querying Authorization of an Enhanced Datasource Connection
- Global Variable-related APIs
- Public Parameters
- Change History
-
SQL Syntax Reference (Paris Region)
-
Spark SQL Syntax Reference
- Common Configuration Items of Batch SQL Jobs
- SQL Syntax Overview of Batch Jobs
- Spark Open Source Commands
- Databases
- Creating an OBS Table
- Creating a DLI Table
- Deleting a Table
- Checking Tables
- Modifying a Table
-
Syntax for Partitioning a Table
- Adding Partition Data (Only OBS Tables Supported)
- Renaming a Partition (Only OBS Tables Supported)
- Deleting a Partition
- Deleting Partitions by Specifying Filter Criteria (Only Supported on OBS Tables)
- Altering the Partition Location of a Table (Only OBS Tables Supported)
- Updating Partitioned Table Data (Only OBS Tables Supported)
- Updating Table Metadata with REFRESH TABLE
- Importing Data to the Table
- Inserting Data
- Clearing Data
- Exporting Search Results
- Table Lifecycle Management
- Creating a Datasource Connection with an HBase Table
- Creating a Datasource Connection with an OpenTSDB Table
- Creating a Datasource Connection with a DWS table
- Creating a Datasource Connection with an RDS Table
- Creating a Datasource Connection with a CSS Table
- Creating a Datasource Connection with a DCS Table
- Creating a Datasource Connection with a DDS Table
- Creating a Datasource Connection with an Oracle Table
- Views
- Checking the Execution Plan
- Data Permissions Management
- Data Types
- User-Defined Functions
-
Built-in Functions
-
Date Functions
- Overview
- add_months
- current_date
- current_timestamp
- date_add
- dateadd
- date_sub
- date_format
- datediff
- datediff1
- datepart
- datetrunc
- day/dayofmonth
- from_unixtime
- from_utc_timestamp
- getdate
- hour
- isdate
- last_day
- lastday
- minute
- month
- months_between
- next_day
- quarter
- second
- to_char
- to_date
- to_date1
- to_utc_timestamp
- trunc
- unix_timestamp
- weekday
- weekofyear
- year
-
String Functions
- Overview
- ascii
- concat
- concat_ws
- char_matchcount
- encode
- find_in_set
- get_json_object
- instr
- instr1
- initcap
- keyvalue
- length
- lengthb
- levenshtein
- locate
- lower/lcase
- lpad
- ltrim
- parse_url
- printf
- regexp_count
- regexp_extract
- replace
- regexp_replace
- regexp_replace1
- regexp_instr
- regexp_substr
- repeat
- reverse
- rpad
- rtrim
- soundex
- space
- substr/substring
- substring_index
- split_part
- translate
- trim
- upper/ucase
- Mathematical Functions
- Aggregate Functions
- Window Functions
- Other Functions
-
Date Functions
- Basic SELECT Statements
- Filtering
- Sorting
- Grouping
- JOIN
- Subquery
- Alias
- Set Operations
- WITH...AS
- CASE...WHEN
- OVER Clause
- Flink OpenSource SQL 1.12 Syntax Reference
-
Flink Opensource SQL 1.10 Syntax Reference
- Constraints and Definitions
- Flink OpenSource SQL 1.10 Syntax
-
Data Definition Language (DDL)
- Creating a Source Table
-
Creating a Result Table
- ClickHouse Result Table
- Kafka Result Table
- Upsert Kafka Result Table
- DIS Result Table
- JDBC Result Table
- GaussDB(DWS) Result Table
- Redis Result Table
- SMN Result Table
- HBase Result Table
- Elasticsearch Result Table
- OpenTSDB Result Table
- User-defined Result Table
- Print Result Table
- File System Result Table
- Creating a Dimension Table
- Data Manipulation Language (DML)
- Functions
-
Historical Versions
-
Flink SQL Syntax
- SQL Syntax Constraints and Definitions
- SQL Syntax Overview of Stream Jobs
- Creating a Source Stream
-
Creating a Sink Stream
- MRS OpenTSDB Sink Stream
- CSS Elasticsearch Sink Stream
- DCS Sink Stream
- DDS Sink Stream
- DIS Sink Stream
- DMS Sink Stream
- DWS Sink Stream (JDBC Mode)
- DWS Sink Stream (OBS-based Dumping)
- MRS HBase Sink Stream
- MRS Kafka Sink Stream
- Open-Source Kafka Sink Stream
- File System Sink Stream (Recommended)
- OBS Sink Stream
- RDS Sink Stream
- SMN Sink Stream
- Creating a Temporary Stream
- Creating a Dimension Table
- Custom Stream Ecosystem
- Data Type
- Built-In Functions
- User-Defined Functions
- Geographical Functions
- SELECT
- Condition Expression
- Window
- JOIN Between Stream Data and Table Data
- Configuring Time Models
- Pattern Matching
- StreamingML
- Reserved Keywords
-
Flink SQL Syntax
-
Identifiers
- aggregate_func
- alias
- attr_expr
- attr_expr_list
- attrs_value_set_expr
- boolean_expression
- col
- col_comment
- col_name
- col_name_list
- condition
- condition_list
- cte_name
- data_type
- db_comment
- db_name
- else_result_expression
- file_format
- file_path
- function_name
- groupby_expression
- having_condition
- input_expression
- join_condition
- non_equi_join_condition
- number
- partition_col_name
- partition_col_value
- partition_specs
- property_name
- property_value
- regex_expression
- result_expression
- select_statement
- separator
- sql_containing_cte_name
- sub_query
- table_comment
- table_name
- table_properties
- table_reference
- when_expression
- where_condition
- window_function
- Operators
-
Spark SQL Syntax Reference
-
User Guide (Kuala Lumpur Region)
- DLI Introduction
- Getting Started
- DLI Console Overview
- SQL Editor
- Job Management
- Queue Management
- Data Management
- Job Templates
- Datasource Connections
- Global Configuration
- UDFs
- Permissions Management
- Change History
-
API Reference (Kuala Lumpur Region)
- Before You Start
- Overview
- Calling APIs
- Getting Started
- Permission-related APIs
- Queue-related APIs (Recommended)
- APIs Related to SQL Jobs
- Package Group-related APIs
-
APIs Related to Flink Jobs
- Granting OBS Permissions to DLI
- Creating a SQL Job
- Updating a SQL Job
- Creating a Flink Jar job
- Updating a Flink Jar Job
- Running Jobs in Batches
- Querying the Job List
- Querying Job Details
- Querying the Job Execution Plan
- Stopping Jobs in Batches
- Deleting a Job
- Deleting Jobs in Batches
- Exporting a Flink Job
- Importing a Flink Job
- APIs Related to Spark jobs
- APIs Related to Flink Job Templates
-
APIs Related to Enhanced Datasource Connections
- Creating an Enhanced Datasource Connection
- Deleting an Enhanced Datasource Connection
- Querying an Enhanced Datasource Connection List
- Querying an Enhanced Datasource Connection
- Binding a Queue
- Unbinding a Queue
- Modifying the Host Information
- Querying Authorization of an Enhanced Datasource Connection
- Global Variable-related APIs
- Permissions Policies and Supported Actions
- Public Parameters
- Change History
-
SQL Syntax Reference (Kuala Lumpur Region)
-
Spark SQL Syntax Reference
- Common Configuration Items of Batch SQL Jobs
- SQL Syntax Overview of Batch Jobs
- Spark Open Source Commands
- Databases
- Creating an OBS Table
- Creating a DLI Table
- Deleting a Table
- Checking Tables
- Modifying a Table
-
Syntax for Partitioning a Table
- Adding Partition Data (Only OBS Tables Supported)
- Renaming a Partition (Only OBS Tables Supported)
- Deleting a Partition
- Deleting Partitions by Specifying Filter Criteria (Only Supported on OBS Tables)
- Altering the Partition Location of a Table (Only OBS Tables Supported)
- Updating Partitioned Table Data (Only OBS Tables Supported)
- Updating Table Metadata with REFRESH TABLE
- Importing Data to the Table
- Inserting Data
- Clearing Data
- Exporting Search Results
- Backing Up and Restoring Data of Multiple Versions
- Table Lifecycle Management
- Creating a Datasource Connection with an HBase Table
- Creating a Datasource Connection with an OpenTSDB Table
- Creating a Datasource Connection with a DWS table
- Creating a Datasource Connection with an RDS Table
- Creating a Datasource Connection with a CSS Table
- Creating a Datasource Connection with a DCS Table
- Creating a Datasource Connection with a DDS Table
- Creating a Datasource Connection with an Oracle Table
- Views
- Checking the Execution Plan
- Data Permissions Management
- Data Types
- User-Defined Functions
-
Built-in Functions
-
Date Functions
- Overview
- add_months
- current_date
- current_timestamp
- date_add
- dateadd
- date_sub
- date_format
- datediff
- datediff1
- datepart
- datetrunc
- day/dayofmonth
- from_unixtime
- from_utc_timestamp
- getdate
- hour
- isdate
- last_day
- lastday
- minute
- month
- months_between
- next_day
- quarter
- second
- to_char
- to_date
- to_date1
- to_utc_timestamp
- trunc
- unix_timestamp
- weekday
- weekofyear
- year
-
String Functions
- Overview
- ascii
- concat
- concat_ws
- char_matchcount
- encode
- find_in_set
- get_json_object
- instr
- instr1
- initcap
- keyvalue
- length
- lengthb
- levenshtein
- locate
- lower/lcase
- lpad
- ltrim
- parse_url
- printf
- regexp_count
- regexp_extract
- replace
- regexp_replace
- regexp_replace1
- regexp_instr
- regexp_substr
- repeat
- reverse
- rpad
- rtrim
- soundex
- space
- substr/substring
- substring_index
- split_part
- translate
- trim
- upper/ucase
- Mathematical Functions
- Aggregate Functions
- Window Functions
- Other Functions
-
Date Functions
- Basic SELECT Statements
- Filtering
- Sorting
- Grouping
- JOIN
- Subquery
- Alias
- Set Operations
- WITH...AS
- CASE...WHEN
- OVER Clause
- Flink OpenSource SQL 1.12 Syntax Reference
-
Flink Opensource SQL 1.10 Syntax Reference
- Constraints and Definitions
- Flink OpenSource SQL 1.10 Syntax
-
Data Definition Language (DDL)
- Creating a Source Table
-
Creating a Result Table
- ClickHouse Result Table
- Kafka Result Table
- Upsert Kafka Result Table
- DIS Result Table
- JDBC Result Table
- GaussDB(DWS) Result Table
- Redis Result Table
- SMN Result Table
- HBase Result Table
- Elasticsearch Result Table
- OpenTSDB Result Table
- User-defined Result Table
- Print Result Table
- File System Result Table
- Creating a Dimension Table
- Data Manipulation Language (DML)
- Functions
-
Historical Versions
-
Flink SQL Syntax
- SQL Syntax Constraints and Definitions
- SQL Syntax Overview of Stream Jobs
- Creating a Source Stream
-
Creating a Sink Stream
- CloudTable HBase Sink Stream
- CloudTable OpenTSDB Sink Stream
- MRS OpenTSDB Sink Stream
- CSS Elasticsearch Sink Stream
- DCS Sink Stream
- DDS Sink Stream
- DIS Sink Stream
- DMS Sink Stream
- DWS Sink Stream (JDBC Mode)
- DWS Sink Stream (OBS-based Dumping)
- MRS HBase Sink Stream
- MRS Kafka Sink Stream
- Open-Source Kafka Sink Stream
- File System Sink Stream (Recommended)
- OBS Sink Stream
- RDS Sink Stream
- SMN Sink Stream
- Creating a Temporary Stream
- Creating a Dimension Table
- Custom Stream Ecosystem
- Data Type
- Built-In Functions
- User-Defined Functions
- Geographical Functions
- SELECT
- Condition Expression
- Window
- JOIN Between Stream Data and Table Data
- Configuring Time Models
- Pattern Matching
- StreamingML
- Reserved Keywords
-
Flink SQL Syntax
-
Identifiers
- aggregate_func
- alias
- attr_expr
- attr_expr_list
- attrs_value_set_expr
- boolean_expression
- col
- col_comment
- col_name
- col_name_list
- condition
- condition_list
- cte_name
- data_type
- db_comment
- db_name
- else_result_expression
- file_format
- file_path
- function_name
- groupby_expression
- having_condition
- input_expression
- join_condition
- non_equi_join_condition
- number
- partition_col_name
- partition_col_value
- partition_specs
- property_name
- property_value
- regex_expression
- result_expression
- select_statement
- separator
- sql_containing_cte_name
- sub_query
- table_comment
- table_name
- table_properties
- table_reference
- when_expression
- where_condition
- window_function
- Operators
-
Spark SQL Syntax Reference
-
User Guide (ME-Abu Dhabi Region)
- Videos
- General Reference
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Analyzing Driving Behavior Data in IoV Scenarios Using DLI
Scenario
Cloud computing and big data provide companies with data analysis and mining capabilities required in the Internet of Vehicle (IoV) field, helping companies or department of motor vehicles manage and analyze vehicle and driving behavior data quickly and scientifically.
Solution Architecture
DLI can query the records of vehicle driving features based on the detail records and freight order data regularly reported by the freight forwarder.
Data Types describes the data types used by DLI to record the data.
![Click to enlarge](https://support.huaweicloud.com/intl/en-us/bestpractice-dli/en-us_image_0000001439461925.png)
Process
To use DLI to analyze driving behavior data, perform the following steps:
Step 1: Uploading Data. Upload the data to OBS.
Step 2: Analyzing Data. Use DLI to query the data.
Example Code
Download the data package for sample data and detailed SQL statements.
Solution Advantages
- Free of data migration: DLI can interconnect with multiple data sources. You only need to create SQL tables and map data sources.
- Easy to use: You can use standard SQL statements to compile metric analysis logic without paying attention to the complex distributed computing platform.
- Pay-per-use: Log analysis is scheduled periodically based on time-critical requirements. There is a long idle period between every two scheduling operations. DLI uses the pay-per-use billing mode, which effectively reduces your costs.
Resource Planning and Costs
Resource |
Description |
Cost |
---|---|---|
OBS |
You need to create an OBS bucket and upload data to OBS for data analysis using DLI. |
You will be charged for using the following OBS resources:
The actual fee depends on the size of the stored file, the number of user access requests, and the traffic volume. Estimate the fee based on your service requirements. |
DLI |
Before creating a SQL job, you need to purchase a queue. When using queue resources, you are billed based on the CUH of the queue. |
For example, if you purchase a pay-per-use queue, you will be billed based on the number of CUHs used by the queue. Usage is billed by the hour, with any usage less than one hour being rounded up to one hour. The number of hours is calculated on the hour. CUH pay-per-use billing = Unit price x Number of CUs x Number of hours. |
Data Types
- Detail records
Detail records include the regularly reported location records and data of alarms triggered by abnormal driving behavior.
Table 2 Detail records Field
Data Type
Description
driverID
string
Driver ID
carNumber
string
License plate number
latitude
double
Latitude
longitude
double
Longitude
speed
int
Speed
direction
int
Direction
siteName
string
Site name
time
timestamp
Report time of the records
isRapidlySpeedup
int
Whether the vehicle rapidly speeds up. 1 indicates that the vehicle suddenly speeds up, and 0 indicates that the vehicle does not.
isRapidlySlowdown
int
Whether the vehicle suddenly slows down.
isNeutralSlide
int
Whether the vehicle is coasting.
isNeutralSlideFinished
int
Whether vehicle coasting has stopped.
neutralSlideTime
bigint
Time length of vehicle coasting.
isOverspeed
int
Whether the vehicle is speeding.
isOverspeedFinished
int
Whether the vehicle stops speeding.
overspeedTime
bigint
Duration of the vehicle speeding
isFatigueDriving
int
Whether fatigue driving occurs.
isHthrottleStop
int
Whether the driver revs the engine in neutral.
isOilLeak
int
Abnormal oil consumption
- Order data
Order data refers to the records of freight orders.
Table 3 Order data Field
Data Type
Description
orderNumber
string
Order ID
driverID
string
Driver ID
carNumber
string
License plate number
customerID
string
Customer ID
sourceCity
string
Departure
targetCity
string
Destination
expectArriveTime
timestamp
Expected delivery time
time
timestamp
Time when a record is generated.
action
string
Event type, including creating an order, dispatching goods, delivering packages, and signing orders.
Step 1: Uploading Data
- Download OBS Browser+. For details about the download address, see Object Storage Service Tool Guide.
- Install OBS Browser+. For details about the installation procedure, see Object Storage Service Tool Guide.
- Log in to OBS Browser+. OBS Browser+ supports two login modes: AK login (using access keys) or authorization code login. For details about the login procedure, see Object Storage Service Tool Guide.
- Upload data using the OBS browser+.
Start the OBS Browser+, click Create Bucket on the homepage. Select a region and enter a bucket name (for example, DLI-demo). After the bucket is created, return to the bucket list and click DLI-demo. OBS Browser+ supports upload by dragging. You can drag one or more files or folders from a local path to the object list of a bucket or a parallel file system on OBS Browser+. You can even drag a file or folder directly to a specified folder on OBS Browser+.
Obtain the test data by downloading the Best_Practice_01.zip file and decompressing it. Perform the following operations:
- Detail records: Upload the detail-records folder in the Data directory to the root directory of the OBS bucket.
- Order data: Upload the order-records folder in the Data directory to the root directory of the OBS bucket.
Step 2: Analyzing Data
Use DLI to query the data for analysis.
- Creating a Database and a Table
- On the homepage of the management console, choose Service List > Analytics > Data Lake Insight.
- On the DLI console, click SQL Editor.
- In the left pane of the SQL Editor, select the Databases tab and click
to create the demo database.
Figure 2 Creating a databaseNOTE:
Database Name cannot be set to default because default is the built-in database.
- Choose the demo database, and enter the following SQL statement in the editing box:
create table detail_records( driverID String, carNumber String, latitude double, longitude double, speed int, direction int, siteName String, time timestamp, isRapidlySpeedup int, isRapidlySlowdown int, isNeutralSlide int, isNeutralSlideFinished int, neutralSlideTime long, isOverspeed int, isOverspeedFinished int, overspeedTime long, isFatigueDriving int, isHthrottleStop int, isOilLeak int) USING CSV OPTIONS (PATH 'obs://dli-demo/detail-records/');
NOTE:
Replace the file path in the preceding statement with the actual OBS path where the detail records are stored.
- Click Execute to create the detail_records table. See Figure 3.
- Run the following SQL statements to create the event_records table in the demo database. The operation is similar to 1.d and 1.e.
create table event_records( driverID String, carNumber String, latitude double, longitude double, speed int, direction int, siteName String, time timestamp, isRapidlySpeedup int, isRapidlySlowdown int, isNeutralSlide int, isNeutralSlideFinished int, neutralSlideTime long, isOverspeed int, isOverspeedFinished int, overspeedTime long, isFatigueDriving int, isHthrottleStop int, isOilLeak int)
- Run the following SQL statements to extract the alarm and event data from the detail records and insert it into the event_records table.
insert into table event_records (select * from detail_records where isRapidlySpeedup > 0 OR isRapidlySlowdown > 0 OR isNeutralSlide > 0 OR isNeutralSlideFinished > 0 OR isOverspeed > 0 OR isOverspeedFinished > 0 OR isFatigueDriving > 0 OR isHthrottleStop > 0 OR isOilLeak > 0)
- Use another method to create the order_records table.
On the left of the SQL job editor, click the Databases tab and click the demo database. Click the plus icon (+) on the right of Table to create a table, and set Data Location to DLI. Set the column types according to Order data.Figure 4 Creating the order_records table
- Import the OBS data to the order_records table. Choose Data Management > Databases and Tables. Click the demo database to go to the table management page. In the Operation column of the order_records table, choose More > Import. Set File Format to CSV, the data storage path to obs://DLI-demo/order-records/, and retain default values for the rest parameters. Click OK.
NOTE:
The default timestamp format is yyyy-MM-dd HH:mm:ss. To use other formats, select Advanced Settings and enter the desired timestamp format (not modified in this example).
Figure 5 Importing table data
- Querying Data
- Run the following SQL statements to query the alarm events of all drivers in a certain time period.
NOTE:
You can save the frequently-used query statements as a template by clicking More > Save as Template in the upper right corner of the editing window. The template is available for future use or can be modified in the SQL editor again.
Choose Job Templates > SQL Templates and click the Custom Templates tab. In the Operation column of the target template, click Execute to switch to the SQL editor. You can modify it as needed.
select driverID, carNumber, sum(isRapidlySpeedup) as rapidlySpeedupTimes, sum(isRapidlySlowdown) as rapidlySlowdownTimes, sum(isNeutralSlide) as neutralSlideTimes, sum(neutralSlideTime) as neutralSlideTimeTotal, sum(isOverspeed) as overspeedTimes, sum(overspeedTime) as overspeedTimeTotal, sum(isFatigueDriving) as fatigueDrivingTimes, sum(isHthrottleStop) as hthrottleStopTimes, sum(isOilLeak) as oilLeakTimes from event_records where time >= "2017-01-01 00:00:00" and time <= "2017-02-01 00:00:00" group by driverID, carNumber order by rapidlySpeedupTimes desc, rapidlySlowdownTimes desc, neutralSlideTimes desc, neutralSlideTimeTotal desc, overspeedTimes desc, overspeedTimeTotal desc, fatigueDrivingTimes desc, hthrottleStopTimes desc, oilLeakTimes desc
In the query result, click
to view graphical results.
- Set Graph Type to the bar chart.
- Set X-AXIS to driverID.
- Set Y-AXIS to rapidlySpeedupTimes.
- Set Results to 10.
The command output is as follows:
Figure 6 Rapid acceleration - Run the following SQL statement to query the detailed record of a driver in a certain time period.
select * from event_records where driverID = "panxian1000005" and time >= "2017-01-01 00:00:00" and time <= "2017-02-01 00:00:00"
In the query result, click
to view graphical results.
- Set Graph Type to the bar chart.
- Set X-AXIS to driverID.
- Set Y-AXIS to speed.
- Set Results to 10.
The command output is as follows:
Figure 7 Speeding record - Run the following SQL statement to query the order information.
select * from order_records where orderNumber = "2017013013584419488" order by time desc
Figure 8 Order information - Run the following SQL statement to query a vehicle's driving feature according to the driver ID and time of departure.
select driverID, carNumber, latitude, longitude, siteName, time from detail_records where driverID = "panxian1000005" and time > "2017-01-30 16:00:00" and siteName IS NOT NULL order by time desc
In the query result, click
to view graphical results.
- Set Graph Type to the bar chart.
- Set X-AXIS to time.
- Set Y-AXIS to latitude.
- Set Results to 10.
The command output is as follows:
Figure 9 Driving information
- Run the following SQL statements to query the alarm events of all drivers in a certain time period.
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