pinot | Apache Pinot - A realtime distributed OLAP datastore

 by   apache Java Version: release-0.12.1-rc0 License: Apache-2.0

kandi X-RAY | pinot Summary

kandi X-RAY | pinot Summary

pinot is a Java library typically used in Big Data, Kafka, Spark, Hadoop applications. pinot has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has medium support. You can download it from GitHub.

Apache Pinot is a real-time distributed OLAP datastore, built to deliver scalable real-time analytics with low latency. It can ingest from batch data sources (such as Hadoop HDFS, Amazon S3, Azure ADLS, Google Cloud Storage) as well as stream data sources (such as Apache Kafka). Pinot was built by engineers at LinkedIn and Uber and is designed to scale up and out with no upper bound. Performance always remains constant based on the size of your cluster and an expected query per second (QPS) threshold. For getting started guides, deployment recipes, tutorials, and more, please visit our project documentation at
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              pinot has a medium active ecosystem.
              It has 4617 star(s) with 1082 fork(s). There are 239 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 1080 open issues and 954 have been closed. On average issues are closed in 47 days. There are 189 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of pinot is release-0.12.1-rc0

            kandi-Quality Quality

              pinot has no bugs reported.

            kandi-Security Security

              pinot has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              pinot is licensed under the Apache-2.0 License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              pinot releases are available to install and integrate.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pinot and discovered the below as its top functions. This is intended to give you an instant insight into pinot implemented functionality, and help decide if they suit your requirements.
            • Handle SQL request .
            • Populates the result array .
            • Runs the query strategy .
            • Internal method for parsing top level predicate pairs .
            • Reduces the response to a broker .
            • Assigns all realtime segments to ideal state .
            • Optimize the date time conversion function .
            • Calculates the result metadata .
            • Validates the indexing configuration .
            • Creates the indices for a derived column .
            Get all kandi verified functions for this library.

            pinot Key Features

            No Key Features are available at this moment for pinot.

            pinot Examples and Code Snippets

            No Code Snippets are available at this moment for pinot.

            Community Discussions

            QUESTION

            merge grouped results into one document in Mongo
            Asked 2022-Mar-22 at 07:46

            I have a document that looks like this

            ...

            ANSWER

            Answered 2022-Mar-22 at 07:44

            Maybe something like this:

            Source https://stackoverflow.com/questions/71567626

            QUESTION

            Unset Array based on key value
            Asked 2021-Nov-17 at 10:01

            I have this array here let's call it $_products, my goal is to remove the array based on the key value of "activationdate" if it's greater than today's date.

            ...

            ANSWER

            Answered 2021-Nov-17 at 09:24

            You are using incorrect variable inside loop.

            replace

            unset($_products[$month]);

            with

            Source https://stackoverflow.com/questions/70001426

            QUESTION

            Removing everything between 2 strings with Google sheets RE2
            Asked 2021-Nov-03 at 09:21

            I'm trying to remove something from a product title as part of a Google sheet

            • Example Johner Gladstone Pinot Noir 2015, 75CL
            • Stella Artois Premium Lager Bottle, 1 X 660 Ml
            • Pepesza Ppsh-40 Vodka Tommy Gun, 1 L

            And I want to be able to remove everything from the , and either the CL, ML or L.

            The problem I'm running into is that I don't know enough about regex and I'm struggling to find a good place to learn!

            What I've tried so far is below

            • =REGEXREPLACE(A2,"[, ]\QML|CL\E","")

              but this doesn't work and I think its because [, ] isn't a valid part.

            • =REGEXREPLACE(A2,"\*\QML|CL\E","")

              because I know that , is the only punctuation in the titles - I've also tried this but not been successful.

            ...

            ANSWER

            Answered 2021-Nov-03 at 09:02

            What you are trying to get is

            Source https://stackoverflow.com/questions/69822024

            QUESTION

            Why am I not being able to insert values into my SQL database?
            Asked 2021-Sep-24 at 01:10

            I'm working on a school project in which we create three tables and insert a few values onto them using MYSQL Workbench.

            Pretty simple stuff right? Here are the tables that are being created :

            ...

            ANSWER

            Answered 2021-Sep-24 at 01:10

            Your issue is in the definition of the Vinicola.emailVinicola column

            Source https://stackoverflow.com/questions/69308349

            QUESTION

            Is there a way to fill a column of a dataframe with values from a list, grouped by each individual item - Python
            Asked 2021-Aug-13 at 21:50

            I have a dataset that I would like to explore but it is not structured very well. The original excel had the Region and Variety of grape in the one column, the Region was indicated as the heading for the rows beneath by being in bold. When I loaded it into Python you can't tell which rows were regions or grape varieties.

            Ideally I want to have those two columns separated so my ideal dataframe looks like table 2.

            What I have done so far is add a 'is_region" column and put "Yes" for values in the 'Region/variety' column that match my list of regions.

            ...

            ANSWER

            Answered 2021-Aug-13 at 06:42

            A naive way of doing it would use pandas ffill-method

            Source https://stackoverflow.com/questions/68767574

            QUESTION

            Error Code PINOT_UNABLE_TO_FIND_BROKER :No valid brokers found
            Asked 2021-May-20 at 04:13

            I am trying to query pinot table data using presto, below are my configuration details.

            ...

            ANSWER

            Answered 2021-May-20 at 04:13

            Update: This is because the connector does not support mixed case table names. Mixed case column names are supported. There is a pull request to add support for mixed case table names: https://github.com/trinodb/trino/pull/7630

            Source https://stackoverflow.com/questions/67603729

            QUESTION

            How to print a dictionary with multiple values without brackets?
            Asked 2021-Feb-26 at 15:12

            I have this so far:

            ...

            ANSWER

            Answered 2021-Feb-26 at 15:12

            I don't think you understood Classes real well but still you need to use self.attribute to use any attributes inside class functions, here is a code that will give you the required output

            Source https://stackoverflow.com/questions/66387964

            QUESTION

            Not able to make Apache Superset connect to Presto DB (this PrestoDB is connected to Apache Pinot)
            Asked 2021-Feb-22 at 09:14

            I am new to Apache Pinot, PrestoDb and Superset. I have successfully setup PrestoDB and connected it to Apache Pinot using the following steps:

            ...

            ANSWER

            Answered 2021-Feb-22 at 09:14

            When you try to access presto from superset, the network connection is between superset container to presto container, so localhost will not work.

            You will need to get the real ip of prestodb container, either container ip or host ip. Can you try the following?

            Source https://stackoverflow.com/questions/66248267

            QUESTION

            How does Apache Pinot index data when compared to Elasticsearch?
            Asked 2021-Jan-31 at 11:01

            Both Elasticsearch and Pinot use Apache Lucene internally. In what ways do they differ in their indexing strategies?

            P.S. My perfectly valid answer got deleted due to a poor question which got closed as it was 'opinion-based'. So posting the answer with a valid question, so that it could be useful for the community.

            ...

            ANSWER

            Answered 2021-Jan-31 at 10:52

            Apache Pinot and Elasticsearch solve distinct problems.

            Elasticsearch is a search engine used for full-text searches, fuzzy queries, auto-completion of search terms, etc. It achieves this using something called an inverted index. Conventional indexing used sorted index where the document was stored as the key and the keywords as the value. In this case, the query latency would be very high since the entire document needs to be searched. But in an inverted index, the keyword is stored as the key and the document id's as the value. Here, since only the search keywords are needed to be searched, the query latency would be very low. Hence, Elasticsearch uses inverted indices to solve its core purpose, which is 'search'.

            Apache Pinot was not built for 'search'. It was rather built for realtime analytics. It uses something called Star-Tree index, which is something like pre-aggregated value store of all combinations of all dimensions of the data. As you can see, Apache Pinot is interested in the aggregate derivations/reductions from the data rather than the data itself. It uses these pre-aggregated values to provide a very low latency, realtime analytics on the data.

            A very important use case of Apache Pinot would be to compute realtime per-user-level analytics and render live per-user-facing dashboards. Elasticsearch too can render realtime dashboards using Kibana, but since it uses inverted index approach, it won't be suitable for per-user-level analytics as that will put a huge load on the server and will require a large number of elastic instances. Due to this upper bound, Elasticsearch would not be suited for per-user-level analytics.

            So, if you want to have search functionality in your application and also per-user-level analytics, the best way would be to have both Elasticsearch and Pinot consumers ingest data from the same Kafka topic, through parallel pipelines. This way, while Elasticsearch indexes the data for search purposes, Pinot will process the data for per-user-level analytics.

            Source https://stackoverflow.com/questions/65978239

            QUESTION

            Pinot nested json ingestion
            Asked 2021-Jan-26 at 21:11

            I have this json schema

            ...

            ANSWER

            Answered 2021-Jan-26 at 21:11

            Pinot has two ways to handle JSON records:

            1. Flatten the record during ingestion time: In this case, we treat each nested field as a separated field, so need to:

            • Define those fields in the table schema
            • Define transform functions to flatten nested fields in table config

            Please see how column subjects_name and subjects_grade is defined below. Since it's an array, so both fields are multi-value columns in Pinot.

            2. Directly ingest JSON records

            In this case, we treat each nested field as one single field, so need to:

            • Define the JSON field in table schema as a string with maxLength value
            • Put this field into noDictionaryColumns and jsonIndexColumns in table config
            • Define transform functions jsonFormat to stringify the JSON field in table config

            Please see how column subjects_str is defined below.

            Below is the sample table schema/config/query:

            Sample Pinot Schema:

            Source https://stackoverflow.com/questions/65886253

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install pinot

            You can download it from GitHub.
            You can use pinot like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the pinot component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            Support

            Ask questions on Apache Pinot SlackPlease join Apache Pinot mailing lists dev-subscribe@pinot.apache.org (subscribe to pinot-dev mailing list) dev@pinot.apache.org (posting to pinot-dev mailing list) users-subscribe@pinot.apache.org (subscribe to pinot-user mailing list) users@pinot.apache.org (posting to pinot-user mailing list)Apache Pinot Meetup Group: https://www.meetup.com/apache-pinot/
            Find more information at:

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