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release-1.3.0
  • Introduction
  • Basics
    • Concepts
      • Pinot storage model
      • Architecture
      • Components
        • Cluster
          • Tenant
          • Server
          • Controller
          • Broker
          • Minion
        • Table
          • Segment
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            • Segment threshold
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          • Schema
          • Time boundary
        • Pinot Data Explorer
    • Getting Started
      • Running Pinot locally
      • Running Pinot in Docker
      • Quick Start Examples
      • Running in Kubernetes
      • Running on public clouds
        • Running on Azure
        • Running on GCP
        • Running on AWS
      • Create and update a table configuration
      • Batch import example
      • Stream ingestion example
      • HDFS as Deep Storage
      • Troubleshooting Pinot
      • Frequently Asked Questions (FAQs)
        • General
        • Pinot On Kubernetes FAQ
        • Ingestion FAQ
        • Query FAQ
        • Operations FAQ
    • Import Data
      • From Query Console
      • Batch Ingestion
        • Spark
        • Flink
        • Hadoop
        • Backfill Data
        • Dimension table
      • Stream ingestion
        • Ingest streaming data from Apache Kafka
        • Ingest streaming data from Amazon Kinesis
        • Ingest streaming data from Apache Pulsar
        • Configure indexes
      • Stream ingestion with Upsert
      • Segment compaction on upserts
      • Stream ingestion with Dedup
      • Stream ingestion with CLP
      • File Systems
        • Amazon S3
        • Azure Data Lake Storage
        • HDFS
        • Google Cloud Storage
      • Input formats
        • Complex Type (Array, Map) Handling
        • Complex Type Examples
        • Ingest records with dynamic schemas
      • Reload a table segment
      • Upload a table segment
    • Indexing
      • Bloom filter
      • Dictionary index
      • Forward index
      • FST index
      • Geospatial
      • Inverted index
      • JSON index
      • Native text index
      • Range index
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    • Release notes
      • 1.3.0
      • 1.2.0
      • 1.1.0
      • 1.0.0
      • 0.12.1
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      • 0.1.0
    • Recipes
      • Connect to Streamlit
      • Connect to Dash
      • Visualize data with Redash
      • GitHub Events Stream
  • For Users
    • Query
      • Querying Pinot
      • Query Syntax
        • Aggregation Functions
        • Array Functions
        • Cardinality Estimation
        • Explain Plan (Single-Stage)
        • Filtering with IdSet
        • Funnel Analysis
        • GapFill Function For Time-Series Dataset
        • Grouping Algorithm
        • Hash Functions
        • JOINs
        • Lookup UDF Join
        • Querying JSON data
        • Transformation Functions
        • URL Functions
        • Window Functions
      • Query Options
      • Query Quotas
      • Query using Cursors
      • Multi-stage query
        • Understanding Stages
        • Stats
        • Optimizing joins
        • Join strategies
          • Random + broadcast join strategy
          • Query time partition join strategy
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        • Hints
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          • Aggregate
          • Filter
          • Join
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          • Sort or limit
          • Transform
          • Union
          • Window
        • Stage-Level Spooling
      • User-Defined Functions (UDFs)
      • Explain plan
    • APIs
      • Broker Query API
        • Query Response Format
      • Controller Admin API
      • Controller API Reference
    • External Clients
      • JDBC
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    • Tutorials
      • Use OSS as Deep Storage for Pinot
      • Ingest Parquet Files from S3 Using Spark
      • Creating Pinot Segments
      • Use S3 as Deep Storage for Pinot
      • Use S3 and Pinot in Docker
      • Batch Data Ingestion In Practice
      • Schema Evolution
  • For Developers
    • Basics
      • Extending Pinot
        • Writing Custom Aggregation Function
        • Segment Fetchers
      • Contribution Guidelines
      • Code Setup
      • Code Modules and Organization
      • Dependency Management
      • Update documentation
    • Advanced
      • Data Ingestion Overview
      • Ingestion Aggregations
      • Ingestion Transformations
      • Null value support
      • Use the multi-stage query engine (v2)
      • Advanced Pinot Setup
    • Plugins
      • Write Custom Plugins
        • Input Format Plugin
        • Filesystem Plugin
        • Batch Segment Fetcher Plugin
        • Stream Ingestion Plugin
    • Design Documents
      • Segment Writer API
  • For Operators
    • Deployment and Monitoring
      • Set up cluster
      • Server Startup Status Checkers
      • Set up table
      • Set up ingestion
      • Decoupling Controller from the Data Path
      • Segment Assignment
      • Instance Assignment
      • Rebalance
        • Rebalance Servers
        • Rebalance Brokers
        • Rebalance Tenant
      • Separating data storage by age
        • Using multiple tenants
        • Using multiple directories
      • Pinot managed Offline flows
      • Minion merge rollup task
      • Consistent Push and Rollback
      • Access Control
      • Monitoring
      • Tuning
        • Tuning Default MMAP Advice
        • Real-time
        • Routing
        • Query Routing using Adaptive Server Selection
        • Query Scheduling
      • Upgrading Pinot with confidence
      • Managing Logs
      • OOM Protection Using Automatic Query Killing
      • Pause ingestion based on resource utilization
    • Command-Line Interface (CLI)
    • Configuration Recommendation Engine
    • Tutorials
      • Authentication
        • Basic auth access control
        • ZkBasicAuthAccessControl
      • Configuring TLS/SSL
      • Build Docker Images
      • Running Pinot in Production
      • Kubernetes Deployment
      • Amazon EKS (Kafka)
      • Amazon MSK (Kafka)
      • Monitor Pinot using Prometheus and Grafana
      • Performance Optimization Configurations
      • Segment Operations Throttling
  • Configuration Reference
    • Cluster
    • Controller
    • Broker
    • Server
    • Table
    • Ingestion
    • Schema
    • Ingestion Job Spec
    • Monitoring Metrics
    • Functions
      • ABS
      • ADD
      • ago
      • EXPR_MIN / EXPR_MAX
      • ARRAY_AGG
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      • arrayDistinctString
      • arrayIndexOfInt
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      • ARRAYLENGTH
      • arrayRemoveInt
      • arrayRemoveString
      • arrayReverseInt
      • arrayReverseString
      • arraySliceInt
      • arraySliceString
      • arraySortInt
      • arraySortString
      • arrayUnionInt
      • arrayUnionString
      • AVGMV
      • Base64
      • caseWhen
      • ceil
      • CHR
      • codepoint
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      • COUNTMV
      • COVAR_POP
      • COVAR_SAMP
      • day
      • dayOfWeek
      • dayOfYear
      • DISTINCT
      • DISTINCTAVG
      • DISTINCTAVGMV
      • DISTINCTCOUNT
      • DISTINCTCOUNTBITMAP
      • DISTINCTCOUNTBITMAPMV
      • DISTINCTCOUNTHLL
      • DISTINCTCOUNTSMARTHLL
      • DISTINCTCOUNTHLLPLUS
      • DISTINCTCOUNTHLLMV
      • DISTINCTCOUNTMV
      • DISTINCTCOUNTRAWHLL
      • DISTINCTCOUNTRAWHLLMV
      • DISTINCTCOUNTRAWTHETASKETCH
      • DISTINCTCOUNTTHETASKETCH
      • DISTINCTCOUNTULL
      • DISTINCTSUM
      • DISTINCTSUMMV
      • DIV
      • DATETIMECONVERT
      • DATETRUNC
      • exp
      • FIRSTWITHTIME
      • FLOOR
      • FrequentLongsSketch
      • FrequentStringsSketch
      • FromDateTime
      • FromEpoch
      • FromEpochBucket
      • FUNNELCOUNT
      • FunnelCompleteCount
      • FunnelMaxStep
      • FunnelMatchStep
      • Histogram
      • hour
      • isSubnetOf
      • JSONFORMAT
      • JSONPATH
      • JSONPATHARRAY
      • JSONPATHARRAYDEFAULTEMPTY
      • JSONPATHDOUBLE
      • JSONPATHLONG
      • JSONPATHSTRING
      • jsonextractkey
      • jsonextractscalar
      • LAG
      • LASTWITHTIME
      • LEAD
      • length
      • ln
      • lower
      • lpad
      • ltrim
      • max
      • MAXMV
      • MD5
      • millisecond
      • min
      • minmaxrange
      • MINMAXRANGEMV
      • MINMV
      • minute
      • MOD
      • mode
      • month
      • mult
      • now
      • percentile
      • percentileest
      • percentileestmv
      • percentilemv
      • percentiletdigest
      • percentiletdigestmv
      • percentilekll
      • percentilerawkll
      • percentilekllmv
      • percentilerawkllmv
      • quarter
      • regexpExtract
      • regexpReplace
      • remove
      • replace
      • reverse
      • round
      • roundDecimal
      • ROW_NUMBER
      • rpad
      • rtrim
      • second
      • SEGMENTPARTITIONEDDISTINCTCOUNT
      • sha
      • sha256
      • sha512
      • sqrt
      • startswith
      • ST_AsBinary
      • ST_AsText
      • ST_Contains
      • ST_Distance
      • ST_GeogFromText
      • ST_GeogFromWKB
      • ST_GeometryType
      • ST_GeomFromText
      • ST_GeomFromWKB
      • STPOINT
      • ST_Polygon
      • strpos
      • ST_Union
      • SUB
      • substr
      • sum
      • summv
      • TIMECONVERT
      • timezoneHour
      • timezoneMinute
      • ToDateTime
      • ToEpoch
      • ToEpochBucket
      • ToEpochRounded
      • TOJSONMAPSTR
      • toGeometry
      • toSphericalGeography
      • trim
      • upper
      • Url
      • UTF8
      • VALUEIN
      • week
      • year
      • Extract
      • yearOfWeek
      • FIRST_VALUE
      • LAST_VALUE
      • ST_GeomFromGeoJSON
      • ST_GeogFromGeoJSON
      • ST_AsGeoJSON
    • Plugin Reference
      • Stream Ingestion Connectors
      • VAR_POP
      • VAR_SAMP
      • STDDEV_POP
      • STDDEV_SAMP
    • Dynamic Environment
  • Reference
    • Single-stage query engine (v1)
    • Multi-stage query engine (v2)
    • Troubleshooting
      • Troubleshoot issues with the multi-stage query engine (v2)
      • Troubleshoot issues with ZooKeeper znodes
  • RESOURCES
    • Community
    • Team
    • Blogs
    • Presentations
    • Videos
  • Integrations
    • Tableau
    • Trino
    • ThirdEye
    • Superset
    • Presto
    • Spark-Pinot Connector
  • Contributing
    • Contribute Pinot documentation
    • Style guide
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  1. Integrations

Trino

Integrate with Trino for ad hoc queries with Full SQL

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Start running with pre-built .

1. Install Pinot

Run below command to install Pinot using HelmCharts.

helm repo add pinot https://raw.githubusercontent.com/apache/pinot/master/kubernetes/helm
kubectl create ns pinot-quickstart
helm install pinot pinot/pinot -n pinot-quickstart --set cluster.name=pinot

You can create an example table by running the command below, if you are under pinot binary directory

Before PR got merged, Change the Pinot table name to all lower cases for table conf/schema and ingestion job spec

bin/pinot-admin.sh BootstrapTable -dir examples/batch/airlineStats

2. Install Trino

Run below command to add Trino Helm repo and fetch default helm config file:

helm repo add trino https://trinodb.github.io/charts/
helm inspect values trino/trino > /tmp/trino.yaml

Edit /tmp/trino.yaml file to add your pinot catalog:

Here, since pinot is deployed at namespace pinot-quickstart, so the controller url is pinot-controller.pinot-quickstart:9000

additionalCatalogs:
  pinot: |
    connector.name=pinot
    pinot.controller-urls=pinot-controller.pinot-quickstart:9000

Install Trino HelmCharts with config file:

helm create ns trino-quickstart
helm install my-trino trino/trino --version 0.2.0 --values /tmp/trino.yaml -n trino-quickstart 

3. Connecting to Trino

Download Trino Client.

curl -L https://repo1.maven.org/maven2/io/trino/trino-cli/363/trino-cli-363-executable.jar -o /tmp/trino && chmod +x /tmp/trino

Port forward Trino service to your local if it's not already exposed.

export POD_NAME=$(kubectl get pods --namespace trino-quickstart -l "app=trino,release=my-trino,component=coordinator" -o jsonpath="{.items[0].metadata.name}")
echo "Visit http://127.0.0.1:8080 to use your application"
kubectl port-forward $POD_NAME 8080:8080 --namespace trino-quickstart

Use Trino console client to connect to Trino service

/tmp/trino --server localhost:8080 --catalog pinot --schema default

Then write your own queries:

trino:default> show tables;
     Table
---------------
 airlinestats
 baseballstats
(2 rows)

Query 20211022_214646_00003_gmppt, FINISHED, 3 nodes
Splits: 36 total, 36 done (100.00%)
0.44 [2 rows, 59B] [4 rows/s, 133B/s]
trino:default> select count(*) as flights_from_ca_to_ny from airlinestats where originstate='CA' and deststate='NY';
 flights_from_ca_to_ny
-----------------------
                    68
(1 row)

Query 20211022_215024_00007_gmppt, FINISHED, 1 node
Splits: 17 total, 17 done (100.00%)
2.14 [1 rows, 9B] [0 rows/s, 4B/s]
trino:default> select * from airlinestats limit 1;
 flightnum | origin | quarter | lateaircraftdelay | divactualelapsedtime | divwheelsons | divwheelsoffs |   airtime   |  arrdel15   | divtotalgtimes | deptimeblk | destcitymarketid |  divairportseqids  | dayssinceepoch | deptime | month | crselapsedtime | deststatename | carrier | destairportid | distance | arrtimeblk | divarrdelay | securitydelay | longestaddgtime | originwac | wheelsoff | destairportseqid | uniquecarrier | divreacheddest | diverted | actualelapsedtime | airlineid
-----------+--------+---------+-------------------+----------------------+--------------+---------------+-------------+-------------+----------------+------------+------------------+--------------------+----------------+---------+-------+----------------+---------------+---------+---------------+----------+------------+-------------+---------------+-----------------+-----------+-----------+------------------+---------------+----------------+----------+-------------------+-----------
        24 | SFO    |       1 |       -2147483648 |                 1968 | [1339, 2310] | [1908, 1758]  | -2147483648 | -2147483648 | [121, 50]      | 0700-0759  |            31703 | [1319801, 1072102] |          16075 |     723 |     1 |            335 | New York      | AA      |         12478 |     2586 | 1500-1559  |        1651 |   -2147483648 |     -2147483648 |        91 |       737 |          1247802 | AA            |              1 |        1 |       -2147483648 |     19805
(1 row)

Query 20211022_215050_00008_gmppt, FINISHED, 2 nodes
Splits: 48 total, 19 done (39.58%)
1.90 [2 rows, 1.65KB] [1 rows/s, 887B/s]

(Disclaimer: Trino is a third-party software that is not part of the Apache Software Foundation).

Meanwhile you can access to see query stats.

Trino Image
Trino Pinot connector
https://github.com/trinodb/trino/pull/7630
Trino Cluster UI
Trino Cluster UI