LogoLogo
BlogTwitterDiscordTelegramSignup/Login
  • Getting Started
    • Welcome to Spice.ai Cloud
    • Getting Started
      • Sign in with GitHub
      • Create a Spice app
      • Add a Dataset and query data
      • Add AI Model and chat with your data
      • Next Steps
    • FAQ
  • Features
    • Federated SQL Query
    • Data Acceleration
      • In-Memory Arrow Data Accelerator
      • DuckDB Data Accelerator
      • PostgreSQL Data Accelerator
      • SQLite Data Accelerator
    • Search & Retrieval
    • AI Gateway
    • Semantic Models
    • ML Models
    • Observability
      • Task History
      • Zipkin
  • Building Blocks
    • Data Connectors
      • ABFS
      • ClickHouse
      • Databricks
      • Delta Lake
      • Dremio
      • DuckDB
      • DynamoDB
      • FlightSQL
      • FTP
      • GitHub
      • GraphQL
      • HTTPS
      • LocalPod
      • Memory
      • MSSQL
      • MySQL
      • ODBC
      • Postgres
      • S3
      • SharePoint
      • Snowflake
      • Spark
      • SpiceAI
    • Model Providers
      • Anthropic
      • Azure
      • Hugging Face
      • OpenAI
      • Perplexity
      • SpiceAI
      • XAI
  • API
    • SQL Query API
      • HTTP API
      • Apache Arrow Flight API
    • OpenAI API
    • Health API
  • Portal
    • Playground
      • SQL Query
      • AI Chat
    • Organizations
    • Apps
      • API keys
      • Secrets
      • Connect GitHub
      • Transfer
    • Public Apps
    • App Spicepod
      • Spicepod Configuration
      • Deployments
      • Spice Runtime Versions
    • Monitoring
    • Profile
      • Personal Access Tokens
  • Use-Cases
    • Agentic AI Apps
    • Database CDN
    • Data Lakehouse
    • Enterprise Search
    • Enterprise RAG
  • SDKs
    • Python SDK
      • Streaming
    • Node.js SDK
      • Streaming
      • API Reference
    • Go SDK
    • Rust SDK
    • Dotnet SDK
    • Java SDK
  • Integrations
    • GitHub Copilot
    • Grafana
  • REFERENCE
    • Core Concepts
      • Duration Literals
    • SQL Reference
      • Data Types
      • SQL Functions
        • Aggregate
          • APPROX_COUNT_DISTINCT
          • AVG
          • BIT_AND
          • BIT_OR
          • CORR
          • COUNT
          • COVAR_POP
          • COVAR_SAMP
          • HLL
          • LISTAGG
          • MAX
          • MIN
          • NDV
          • STDDEV
          • STDDEV_POP
          • STDDEV_SAMP
          • SUM
          • VAR_POP
          • VAR_SAMP
        • Binary
          • BASE64
          • BIT_LENGTH
          • FROM_HEX
          • HEX
          • TO_HEX
          • UNBASE64
          • UNHEX
        • Bitwise
          • BIT_AND
          • BIT_OR
          • LSHIFT
          • RSHIFT
          • XOR
        • Boolean
          • IS [NOT] DISTINCT FROM
          • ISFALSE
          • IS [NOT] NULL
          • ISNUMERIC
          • ISTRUE
          • IS_MEMBER
        • Conditional
          • BOOL_AND
          • BOOL_OR
          • CASE
          • COALESCE
          • GREATEST
          • LEAST
          • NULLIF
        • Conversion
          • BINARY_STRING
          • CAST
          • CONVERT_FROM
          • CONVERT_REPLACEUTF8
          • CONVERT_TIMEZONE
          • CONVERT_TO
          • FLATTEN
          • FROM_HEX
          • HASH
          • HEX
          • TOASCII
          • TO_CHAR
          • TO_DATE
          • TO_HEX
          • TO_NUMBER
          • TO_TIME
          • TO_TIMESTAMP
          • UNHEX
        • Cryptography
          • AES_DECRYPT
          • AES_ENCRYPT
          • MD5
          • SHA
          • SHA1
          • SHA256
          • SHA512
        • Data Generation
          • RANDOM
        • Datatype
          • IS_BIGINT
          • IS_DATE
          • IS_INT
          • IS_VARCHAR
          • SIZE
          • TYPEOF
        • Date/Time
          • CONVERT_TIMEZONE
          • CURRENT_DATE
          • CURRENT_DATE_UTC
          • CURRENT_TIME
          • CURRENT_TIMESTAMP
          • DATEDIFF
          • DATE_ADD
          • DATE_DIFF
          • DATE_PART
          • DATE_SUB
          • DATE_TRUNC
          • DAY
          • DAYOFMONTH
          • DAYOFWEEK
          • DAYOFYEAR
          • EXTRACT
          • HOUR
          • LAST_DAY
          • MINUTE
          • MONTH
          • MONTHS_BETWEEN
          • NEXT_DAY
          • QUARTER
          • SECOND
          • TIMESTAMPADD
          • TIMESTAMPDIFF
          • TO_DATE
          • TO_TIME
          • TO_TIMESTAMP
          • UNIX_TIMESTAMP
          • WEEK
          • WEEKOFYEAR
          • YEAR
        • Math
          • ABS
          • ACOS
          • ASIN
          • ATAN
          • CBRT
          • CEILING
          • COS
          • COSH
          • COT
          • DEGREES
          • E
          • EXP
          • FLOOR
          • LOG
          • LOG10
          • MOD
          • PI
          • POWER
          • RADIANS
          • ROUND
          • SIGN
          • SIN
          • SINH
          • SQRT
          • STDDEV
          • STDDEV_POP
          • STDDEV_SAMP
          • TAN
          • TANH
          • TRUNCATE
        • Percentile
          • MEDIAN
          • PERCENTILE_CONT
          • PERCENTILE_DISC
        • Regular Expressions
          • REGEXP_EXTRACT
          • REGEXP_LIKE
          • REGEXP_MATCHES
          • REGEXP_REPLACE
          • REGEXP_SPLIT
        • Semistructured Data
          • ARRAY_CONTAINS
          • MAP_KEYS
          • MAP_VALUES
        • String
          • ASCII
          • BASE64
          • BTRIM
          • CHARACTER_LENGTH
          • CHAR_LENGTH
          • CHR
          • COL_LIKE
          • CONCAT
          • CONCAT_WS
          • ENDS_WITH
          • FROM_HEX
          • HEX
          • ILIKE
          • INITCAP
          • INSTR
          • IS_UTF8
          • LCASE
          • LEFT
          • LENGTH
          • LEVENSHTEIN
          • LIKE
          • LOCATE
          • LOWER
          • LPAD
          • LTRIM
          • MASK
          • MASK_FIRST_N
          • MASK_HASH
          • MASK_LAST_N
          • MASK_SHOW_FIRST_N
          • MASK_SHOW_LAST_N
          • OCTET_LENGTH
          • POSITION
          • QUOTE
          • REGEXP_EXTRACT
          • REGEXP_LIKE
          • REGEXP_MATCHES
          • REGEXP_REPLACE
          • REGEXP_SPLIT
          • REPEAT
          • REPEATSTR
          • REPLACE
          • REVERSE
          • RIGHT
          • RPAD
          • RTRIM
          • SIMILAR_TO
          • SOUNDEX
          • SPLIT_PART
          • STARTS_WITH
          • STRPOS
          • SUBSTRING
          • SUBSTRING_INDEX
          • TOASCII
          • TO_HEX
          • TRANSLATE
          • TRIM
          • UCASE
          • UNBASE64
          • UNHEX
          • UPPER
        • Window
          • COUNT
          • COVAR_POP
          • COVAR_SAMP
          • CUME_DIST
          • DENSE_RANK
          • FIRST_VALUE
          • HLL
          • LAG
          • LEAD
          • MAX
          • MIN
          • NDV
          • NTILE
          • PERCENT_RANK
          • RANK
          • ROW_NUMBER
          • SUM
          • VAR_POP
          • VAR_SAMP
      • SQL Commands
        • SELECT
        • USE
        • SHOW
        • DESCRIBE
        • WITH
    • Release Notes
  • Pricing
    • Paid Plans
    • Community Plan
  • Support
    • Support
  • Security
    • Security at Spice AI
    • Report a vulnerability
  • Legal
    • Privacy Policy
    • Website Terms of Use
    • Terms of Service
    • End User License Agreement
Powered by GitBook
On this page
  • Adding a ready-to-use Dataset
  • [Optional] Execute a SQL query using cURL

Was this helpful?

Edit on GitHub
Export as PDF
  1. Getting Started
  2. Getting Started

Add a Dataset and query data

Add a dataset and query it using SQL Query in the Playground

Last updated 4 months ago

Was this helpful?

To add a dataset to the Spice app, navigate to the tab.

Use the Components sidebar on the right to select from available Data Connectors, Model Providers, and ready-to-use Datasets.

Adding a ready-to-use Dataset

  1. Navigate to Code tab.

  2. In Components sidebar, click the Datasets tab.

  1. Select and add the NYC Taxi Trips dataset

    1. Note the configuration has been added to the editor

  1. Click Save in the code toolbar and then Deploy on popup card that appears in the bottom right.

[Optional] Execute a SQL query using cURL

Go app Settings and copy one of the app API Keys.

Replace [API-KEY] in the sample below with your API Key and execute from a terminal.

curl --request POST \
  --url 'https://data.spiceai.io/v1/sql' \
  --header 'Content-Type: text/plain' \
  --header 'X-API-KEY: [API-KEY]' \
  --data 'select * from spice.samples.taxi_trips limit 3'

🎉 Congratulations, you've now added a dataset and queried it.

Navigate to the tab, open the dataset reference, and click on the spice.samples.taxi_trips dataset to insert a sample query into the SQL editor. Then, click Run Selection.

Continue to .

Need help? Ask a question, raise issues, and provide feedback to the Spice AI team on .

Playground
Step 4 to add an AI Model and chat with the dataset
Discord
Code
Spice.ai app Code configuration
Add the NYC Taxi Trips dataset
Exexuting the sample query for the NYC Taxi Trips dataset.
Getting an API Key from the app Settings.
Showing results from executing a sample NYC Taxi Trips dataaset query using cURL.