timsaucer opened a new pull request, #964:
URL: https://github.com/apache/datafusion-python/pull/964
# Which issue does this PR close?
Closes #513
# Rationale for this change
Users would like to use DataFrames as a parameter inside an SQL query. With
this change, you can do the following:
```
from datafusion import SessionContext
ctx = SessionContext()
df_customer = ctx.read_parquet("examples/tpch/data/customer.parquet")
ctx.sql("select c_custkey, c_name from {df}", df=df_customer)
```
The string `{df}` in the query will be replaced with the SQL equivalent of
the logical plan of the DataFrame.
# What changes are included in this PR?
All of the `read_parquet`, `read_avro`, `read_json`, and `read_csv` have
been changed to call `register_` with a generated table name. This table name
is the file name. If a table already exists with that file name, a generated
UUID is used instead.
One unit test is included.
# Are there any user-facing changes?
There is an addition of an optional table name to each of the `read_`
functions above, but it is a non breaking change for the users.
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