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Implementing a Custom Query Language with Python and Apache Spark

Lobsters Hottest ↗ · 2026-06-23 Cached

A technical guide on implementing a custom query language (EHQL) using Python and Apache Spark, with a focus on grammar definition and parsing using Lark.

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@huangyun_122: This open-source library Lark CLI perfectly layers knowledge ingestion, assembly, and distribution: 1/ OpenClaw, Codex, CC conversation history enters the Lark knowledge base via SKILL 2/ Lark CLI connects to Agent, further digests the ingested knowledge base documents, and pushes them into the vector database 3/ To…

X AI KOLs Timeline ↗ · 2026-06-17 Cached

Lark CLI is an open-source command-line tool designed for human and AI agents, providing 200+ commands and 26 AI Skills across 18 business domains to streamline knowledge ingestion, assembly, and distribution.

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@jakevin7: Today I had AI autonomously handle the entire workflow inside Lark. Lark is seriously packed with features now. Agents can directly generate drag-and-drop, editable flowcharts within documents. After meetings, to-dos from Miaoji automatically convert into Lark tasks. Installed with a single command, all 15 business domains (IM, Calendar, Email, Approval, Cloud Docs, Bitable, etc.) are fully ready…

X AI KOLs Following ↗ · 2026-05-12

Users leverage AI agents in Lark to automate collaborative workflows, such as generating flowcharts in documents and converting meeting to-dos into tasks. lark-cli has been integrated with OpenCLI, supporting multi-agent handoff workflows for data querying and report generation.

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lark

Implementing a Custom Query Language with Python and Apache Spark

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