Custom JDBC column types#220
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Seems reasonable to me; do you mind adding a simple test which exercises this code path? |
Signed-off-by: Marc-André Tremblay <marcandre.tr@gmail.com>
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Sorry for the delay. I based the test on the existing "maxlength" feature test. |
| case _ => throw new IllegalArgumentException(s"Don't know how to save $field to JDBC") | ||
| val typ: String = if (field.metadata.contains("redshift_type")) { | ||
| field.metadata.getString("redshift_type") | ||
| } |
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Minor style nit: place the else on the same line as this brace.
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LGTM. I'll try to fix the style issue and merge conflicts myself. |
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Author: Marc-André Tremblay <marcandre.tr@gmail.com> This patch had conflicts when merged, resolved by Committer: Josh Rosen <joshrosen@databricks.com> Closes databricks#220 from marctrem/custom-jdbc-column-types.
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@JoshRosen We are facing the same issue in the general JDBC data source of Spark. What do you think if we do it in Spark too? |
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@gatorsmile, I wouldn't be opposed. |
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Thanks! |
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@JoshRosen We submitted two solutions:
I am wondering which solution you prefer? It sounds like the first one is more user friendly. val mdb = new MetadataBuilder()
mdb.putString("name", "VARCHAR(128)”)
mdb.putString("comments”, “CLOB(20K)”)
val createTableColTypes = mdb.build().json
df.write.option("createTableColumnTypes", createTableColTypes).jdbc(url, "TEST.DBCOLTYPETEST", properties) |
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This patch allows us to set custom column types.
Please tell me if you want some edits on it.
Thank you,
Marc