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        <journal-title>September</journal-title>
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        <article-title>Polygraph - An Arrow Format for Large Apache Calcite Query Plans and M ulti-Language Data Systems (Lightning Talk)</article-title>
      </title-group>
      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Adam Kennedy</string-name>
          <email>adam@voltrondata.com</email>
          <xref ref-type="aff" rid="aff0">0</xref>
          <xref ref-type="aff" rid="aff1">1</xref>
        </contrib>
        <contrib contrib-type="editor">
          <string-name>Vancouver, Canada</string-name>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Joint Workshops at 49th International Conference on Very Large Data</institution>
        </aff>
        <aff id="aff1">
          <label>1</label>
          <institution>Voltron Data Inc.</institution>
          ,
          <addr-line>650 Castro Street Suite 120, PMB 96571, San Francisco, CA 94041</addr-line>
          ,
          <country country="US">USA</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2023</year>
      </pub-date>
      <volume>1</volume>
      <issue>2023</issue>
      <abstract>
        <p>The maturity and substantial investment in Apache Calcite establish it as the open source standard for query planning and optimization across numerous data tools. Nevertheless, utilizing Apache Calcite for dynamic query planning in a diverse tool stack with multiple languages has proven challenging. Through the integration of Apache Arrow, we introduce Polygraph: a language-independent, parse-free, and eficient format for query plans. Its purpose is to enhance plan interoperability, diminish latency and overheads, and facilitate dynamic query optimization. This experimental format allows for the eficient exchange of query plans between tools in diverse languages with minimal serialization overhead.</p>
      </abstract>
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      <p>LGOBE</p>
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