pinot | Apache Pinot - A realtime distributed OLAP datastore
kandi X-RAY | pinot Summary
kandi X-RAY | pinot Summary
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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Top functions reviewed by kandi - BETA
- 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 .
pinot Key Features
pinot Examples and Code Snippets
Community Discussions
Trending Discussions on pinot
QUESTION
I have a document that looks like this
...ANSWER
Answered 2022-Mar-22 at 07:44Maybe something like this:
QUESTION
I have this array here let's call it $_products, my goal is to remove the array based on the key value of "activationdate" if it's greater than today's date.
...ANSWER
Answered 2021-Nov-17 at 09:24You are using incorrect variable inside loop.
replace
unset($_products[$month]);
with
QUESTION
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 09:02What you are trying to get is
QUESTION
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 01:10Your issue is in the definition of the Vinicola.emailVinicola column
QUESTION
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 06:42A naive way of doing it would use pandas ffill
-method
QUESTION
I am trying to query pinot table data using presto, below are my configuration details.
...ANSWER
Answered 2021-May-20 at 04:13Update: 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
QUESTION
I have this so far:
...ANSWER
Answered 2021-Feb-26 at 15:12I 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
QUESTION
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 09:14When 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?
QUESTION
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 10:52Apache 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.
QUESTION
I have this json schema
...ANSWER
Answered 2021-Jan-26 at 21:11Pinot 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:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
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Install pinot
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 .
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