SQLFrame: Add basic and all-types examples #765
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amotl
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SQLFrame [1] implements the PySpark [2] DataFrame API in order to enable running transformation pipelines directly on database engines - no Spark clusters or dependencies required. [1] https://pypi.org/project/sqlframe/ [2] https://spark.apache.org/docs/latest/api/python/
With an aliasing to `char`, the response is: cr> select char as "char" from t01; SQLParseException[line 1:16: no viable alternative at input 'select char as "char"'] It apparently works with all other symbol names, it just trips on `char`.
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Adding an example using a convenient
wrapperaugmentation library around Apache Spark, that computes on the database instead of on a Spark cluster.References