convert.dev

Convert to

Formats/Text and data

Parquet. The columnar data format of analytics. Compressed, typed and fast to scan. 124 formats it can become, 175 that become it.

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PARQUET becomes.

Every path the planner knows from a PARQUET, the common ones first. One hop is a single engine. More hops go through another format on the way.

124 targets

JSONonefidelity 0.951 hop~500 msHTMLonefidelity 0.902 hops~800 msMDonefidelity 0.902 hops~700 msTXTonefidelity 0.813 hops~900 msCSVonefidelity 0.951 hop~500 msTSVonefidelity 0.951 hop~500 msJSONLonefidelity 0.951 hop~500 msSRTonefidelity 0.755 hops~5.0 sVTTonefidelity 0.755 hops~5.0 sYAMLonefidelity 0.902 hops~600 msXMLonefidelity 0.812 hops~600 msASSonefidelity 0.755 hops~5.0 sLRConefidelity 0.605 hops~5.0 sSQLITEonefidelity 0.951 hop~500 msICSonefidelity 0.902 hops~700 msVCFonefidelity 0.902 hops~700 ms

Becomes PARQUET.

Every format that can be turned into a PARQUET.

175 sources

JSONonefidelity 0.951 hop~500 msHTMLonefidelity 0.813 hops~1.4 sMDonefidelity 0.853 hops~1.7 sTXTonefidelity 0.734 hops~1.6 sCSVonefidelity 0.951 hop~500 msTSVonefidelity 0.951 hop~500 msJSONLonefidelity 0.951 hop~500 msSRTonefidelity 0.952 hops~650 msVTTonefidelity 0.952 hops~650 msYAMLonefidelity 0.902 hops~600 msXMLonefidelity 0.902 hops~600 msASSonefidelity 0.903 hops~850 msLRConefidelity 0.903 hops~850 msSQLITEmanyfidelity 0.951 hop~600 msICSonefidelity 0.812 hops~600 msVCFonefidelity 0.812 hops~600 ms

Two commands.

cv targets answers this page for any file. cv convert runs any row above.

~/filescv 0.1
$ cv targets --from parquet
parquet ->
  json     one   fidelity 0.95  hops 1  ~500 ms
  html     one   fidelity 0.90  hops 2  ~800 ms
  md       one   fidelity 0.90  hops 2  ~700 ms
  txt      one   fidelity 0.81  hops 3  ~900 ms
$ cv convert file.parquet file.json
file.json -> file.json