Challenging SQL-on-Hadoop Performance with Apache Druid
porting interactive and low latency queries. The work of [9] benchmarks different SQL- on-Hadoop systems (Hive Spark
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross
Gray boxes separate the user inputs (Qi) querying the database (Di) from the SQL queries (Si) returned an- swers (Ai)
Bridging the Semantic Gap with SQL Query Logs in Natural
31 janv. 2019 Abstract—. A critical challenge in constructing a natural language interface to database (NLIDB) is bridging the semantic gap between a.
CoSQL: A Conversational Text-to-SQL Challenge Towards Cross
Figure 1: A dialog from the CoSQL dataset. Gray boxes separate the user inputs (Qi) querying the database (Di) from the SQL queries (Si) returned an-.
Deep Learning Driven Natural Languages Text to SQL Query
8 août 2022 to address the challenge of synthesizing SQL queries from natural language texts. We looked into all the major NLP conferences such as ACL ...
QueryVis: Logic-based diagrams help users understand
understand complicated SQL queries faster. Aristotelis Leventidis. Northeastern University Understanding the meaning of existing SQL queries is critical.
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SQL Queries for Mere Mortals John L. Viescas 2014 Presents a guide to writing with information on how to solve a variety of challenging SQL problems.
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ways to write any SQL query and professional database programmers must understand the correct way to write SQL for complicated database queries
ValueNet: A Natural Language-to-SQL System that Learns from
We then use a neural model based on an encoder-decoder architecture to synthesize the SQL query. Finally we evaluate our model on the Spider challenge using
QueryVis: Logic-based diagrams help users understand
Understanding the meaning of existing SQL queries is critical (even in theory) transform a complicated SQL query (such as.
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