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The post provides instructions on ingesting Apache Avro messages into Pinot, creating a Pinot table, and querying the data.\",\"authors\":[\"needham\"],\"type\":\"Blog\",\"readingTime\":{\"text\":\"7 min read\",\"minutes\":6.755,\"time\":405300,\"words\":1351},\"slug\":\"2023/06/01/real-time-mastodon-usage-with-apache-kafka-apache-pinot-and-streamlit\",\"customSlug\":\"2023/06/01/real-time-mastodon-usage-with-apache-kafka-apache-pinot-and-streamlit\",\"path\":\"blog/2023/06/01/real-time-mastodon-usage-with-apache-kafka-apache-pinot-and-streamlit\",\"customPath\":\"blog/2023/06/01/real-time-mastodon-usage-with-apache-kafka-apache-pinot-and-streamlit\",\"filePath\":\"blog/2023-06-01-real-time-mastodon-usage-with-apache-kafka-apache-pinot-and-streamlit.mdx\",\"toc\":[{\"value\":\"The Existing Solution: Kafka Connect, Parquet, Seaborn and DuckDB \",\"url\":\"#the-existing-solution-kafka-connect-parquet-seaborn-and-duckdb\",\"depth\":2},{\"value\":\"Going Real-Time with Apache Pinot™\",\"url\":\"#going-real-time-with-apache-pinot\",\"depth\":2},{\"value\":\"Setup\",\"url\":\"#setup\",\"depth\":2},{\"value\":\"Pinot Schema and Table\",\"url\":\"#pinot-schema-and-table\",\"depth\":2},{\"value\":\"Ingest Data into Kafka\",\"url\":\"#ingest-data-into-kafka\",\"depth\":2},{\"value\":\"Query Pinot\",\"url\":\"#query-pinot\",\"depth\":2},{\"value\":\"Streamlit\",\"url\":\"#streamlit\",\"depth\":2},{\"value\":\"Summary\",\"url\":\"#summary\",\"depth\":2}],\"structuredData\":{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"headline\":\"Real-Time Mastodon Usage with Apache Kafka, Apache Pinot, and Streamlit\",\"datePublished\":\"2023-06-01T00:00:00.000Z\",\"dateModified\":\"2023-06-01T00:00:00.000Z\",\"description\":\"The blog post discusses analyzing user activity and server popularity on Mastodon using Kafka Connect, Parquet, Seaborn, and DuckDB. 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It also mentions the availability of CDC connectors in Debezium for various streaming systems.\",\"authors\":[\"dulay\"],\"type\":\"Blog\",\"readingTime\":{\"text\":\"10 min read\",\"minutes\":9.105,\"time\":546300,\"words\":1821},\"slug\":\"2023/05/23/change-data-capture-with-apache-pinot-how-does-it-work\",\"customSlug\":\"2023/05/23/change-data-capture-with-apache-pinot-how-does-it-work\",\"path\":\"blog/2023/05/23/change-data-capture-with-apache-pinot-how-does-it-work\",\"customPath\":\"blog/2023/05/23/change-data-capture-with-apache-pinot-how-does-it-work\",\"filePath\":\"blog/2023-05-23-change-data-capture-with-apache-pinot-how-does-it-work.mdx\",\"toc\":[{\"value\":\"Pre-Image, Post-Image, or Diffs?\",\"url\":\"#pre-image-post-image-or-diffs\",\"depth\":2},{\"value\":\"How to Capture Change Data with Debezium\",\"url\":\"#how-to-capture-change-data-with-debezium\",\"depth\":2},{\"value\":\"Debezium Data Format\",\"url\":\"#debezium-data-format\",\"depth\":2},{\"value\":\"Materialized Views\",\"url\":\"#materialized-views\",\"depth\":2},{\"value\":\"Upsert in Apache Pinot\",\"url\":\"#upsert-in-apache-pinot\",\"depth\":2},{\"value\":\"Summary\",\"url\":\"#summary\",\"depth\":2}],\"structuredData\":{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"headline\":\"Change Data Capture with Apache Pinot - How Does It Work?\",\"datePublished\":\"2023-05-23T00:00:00.000Z\",\"dateModified\":\"2023-05-23T00:00:00.000Z\",\"description\":\"This blog post discusses the use of Change Data Capture (CDC) in Apache Pinot and the data format used in Debezium for efficient querying and analytics. 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By implementing a star-tree index, query performance significantly improved, reducing query latency from 1,513 ms to just 4 ms and drastically reducing disk reads by 99.999%.\",\"authors\":[\"dabade\"],\"type\":\"Blog\",\"readingTime\":{\"text\":\"7 min read\",\"minutes\":6.25,\"time\":375000,\"words\":1250},\"slug\":\"2023/05/16/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance\",\"customSlug\":\"2023/05/16/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance\",\"path\":\"blog/2023/05/16/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance\",\"customPath\":\"blog/2023/05/16/star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance\",\"filePath\":\"blog/2023-05-16-star-tree-indexes-in-apache-pinot-part-1-understanding-the-impact-on-query-performance.mdx\",\"toc\":[{\"value\":\"1. The Dataset:\",\"url\":\"#1-the-dataset\",\"depth\":2},{\"value\":\"Schema:\",\"url\":\"#schema\",\"depth\":3},{\"value\":\"2. Query Pattern\",\"url\":\"#2-query-pattern\",\"depth\":2},{\"value\":\"Star-Tree Index Config:\",\"url\":\"#star-tree-index-config\",\"depth\":3},{\"value\":\"4. Query Results and Stats\",\"url\":\"#4-query-results-and-stats\",\"depth\":2},{\"value\":\"Iteration #1: w/o any Apache Pinot optimizations:\",\"url\":\"#iteration-1-wo-any-apache-pinot-optimizations\",\"depth\":3},{\"value\":\"Iteration #2: w/ Inverted Index \",\"url\":\"#iteration-2-w-inverted-index\",\"depth\":3},{\"value\":\"Iteration #3: w/ Star-Tree Index: \",\"url\":\"#iteration-3-w-star-tree-index\",\"depth\":3},{\"value\":\"Comparison:\",\"url\":\"#comparison\",\"depth\":3},{\"value\":\"5. Impact Summary:\",\"url\":\"#5-impact-summary\",\"depth\":2},{\"value\":\"Key Benefits of the Star-Tree Index:\",\"url\":\"#key-benefits-of-the-star-tree-index\",\"depth\":3}],\"structuredData\":{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"headline\":\"StarTree Indexes in Apache Pinot Part-1 - Understanding the Impact on Query Performance\",\"datePublished\":\"2023-05-16T00:00:00.000Z\",\"dateModified\":\"2023-05-16T00:00:00.000Z\",\"description\":\"The blog post explains the star-tree index in Apache Pinot and its benefits compared to traditional materialized views. 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Consumer Record Lag\",\"date\":\"2023-03-30T00:00:00.000Z\",\"tags\":[\"Pinot\",\"Data\",\"Analytics\",\"User-Facing Analytics\",\"consumer record lag\",\"kafka\"],\"summary\":\"This post will explore a new API endpoint that lets you check how much Pinot is lagging when ingesting from Apache Kafka.\",\"authors\":[\"needham\"],\"type\":\"Blog\",\"readingTime\":{\"text\":\"5 min read\",\"minutes\":4.57,\"time\":274200,\"words\":914},\"slug\":\"2023/03/30/Apache-Pinot-0-12-Consumer-Record-Lag\",\"customSlug\":\"2023/03/30/Apache-Pinot-0-12-Consumer-Record-Lag\",\"path\":\"blog/2023/03/30/Apache-Pinot-0-12-Consumer-Record-Lag\",\"customPath\":\"blog/2023/03/30/Apache-Pinot-0-12-Consumer-Record-Lag\",\"filePath\":\"blog/2023-03-30-Apache-Pinot-0-12-Consumer-Record-Lag.mdx\",\"toc\":[{\"value\":\"Why do we need this?\",\"url\":\"#why-do-we-need-this\",\"depth\":2},{\"value\":\"Worked Example\",\"url\":\"#worked-example\",\"depth\":2},{\"value\":\"Summary\",\"url\":\"#summary\",\"depth\":2}],\"structuredData\":{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"headline\":\"Apache Pinot™ 0.12 - 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Deduplication on Real-Time Tables\",\"datePublished\":\"2023-01-29T00:00:00.000Z\",\"dateModified\":\"2023-01-29T00:00:00.000Z\",\"description\":\"Learn about the deduplication for the real-time tables feature in Apache Pinot\",\"image\":\"/static/images/twitter-card.png\",\"url\":\"https://pinot.apache.org/blog/2023-01-29-Apache-Pinot-Deduplication-on-Real-Time-Tables\"}},{\"title\":\"Apache Pinot™ 0.11 - Pausing Real-Time Ingestion\",\"date\":\"2022-11-28T00:00:00.000Z\",\"tags\":[\"Pinot\",\"Data\",\"Analytics\",\"User-Facing Analytics\",\"pause\",\"resume\",\"real-time ingestion\"],\"summary\":\"Learn about a feature that lets you pause and resume real-time data ingestion in Apache Pinot\",\"authors\":[\"needham\"],\"type\":\"Blog\",\"readingTime\":{\"text\":\"7 min read\",\"minutes\":6.475,\"time\":388500,\"words\":1295},\"slug\":\"2022/11/28/Apache-Pinot-Pausing-Real-Time-Ingestion\",\"customSlug\":\"2022/11/28/Apache-Pinot-Pausing-Real-Time-Ingestion\",\"path\":\"blog/2022/11/28/Apache-Pinot-Pausing-Real-Time-Ingestion\",\"customPath\":\"blog/2022/11/28/Apache-Pinot-Pausing-Real-Time-Ingestion\",\"filePath\":\"blog/2022-11-28-Apache-Pinot-Pausing-Real-Time-Ingestion.mdx\",\"toc\":[{\"value\":\"How does real-time ingestion work?\",\"url\":\"#how-does-real-time-ingestion-work\",\"depth\":2},{\"value\":\"Why do we need to pause and resume ingestion?\",\"url\":\"#why-do-we-need-to-pause-and-resume-ingestion\",\"depth\":2},{\"value\":\"Data Generation\",\"url\":\"#data-generation\",\"depth\":2},{\"value\":\"Pinot Schema/Table Config\",\"url\":\"#pinot-schematable-config\",\"depth\":2},{\"value\":\"The Pause/Resume Flow\",\"url\":\"#the-pauseresume-flow\",\"depth\":2},{\"value\":\"Summary\",\"url\":\"#summary\",\"depth\":2}],\"structuredData\":{\"@context\":\"https://schema.org\",\"@type\":\"BlogPosting\",\"headline\":\"Apache Pinot™ 0.11 - 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Unfortunately, this approach results in scanning data and time value conversion work that takes a long time at large data volumes. 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