Brian the schema is really simple. Just 3 primitive type columns:

root
|-- column_1: integer (nullable = true)
|-- column_2: integer (nullable = true)
|-- column_3: string (nullable = true)


From: Brian Hulette <[email protected]>
Date: Thursday, March 4, 2021 at 2:29 PM
To: Tao Li <[email protected]>
Cc: "[email protected]" <[email protected]>
Subject: Re: A problem with ZetaSQL

Thanks, It would also be helpful to know what avroSchema is, or at least the 
types of its fields, so we can understand what the schema of the PCollection is.

On Tue, Mar 2, 2021 at 11:00 AM Tao Li 
<[email protected]<mailto:[email protected]>> wrote:
Hi Brian,

Here is my code to create the PCollection<Row>.

PCollection<FileIO.ReadableFile> files = pipeline
                .apply(FileIO.match().filepattern(path))
                .apply(FileIO.readMatches());

PCollection<Row> input =  files
                .apply(ParquetIO.readFiles(avroSchema))
                .apply(MapElements
                        .into(TypeDescriptors.rows())
                        
.via(AvroUtils.getGenericRecordToRowFunction(AvroUtils.toBeamSchema(avroSchema))))
                .setCoder(RowCoder.of(AvroUtils.toBeamSchema(avroSchema)));


From: Brian Hulette <[email protected]<mailto:[email protected]>>
Reply-To: "[email protected]<mailto:[email protected]>" 
<[email protected]<mailto:[email protected]>>
Date: Tuesday, March 2, 2021 at 10:31 AM
To: user <[email protected]<mailto:[email protected]>>
Subject: Re: A problem with ZetaSQL

Thanks for reporting this Tao - could you share what the type of your input 
PCollection is?

On Tue, Mar 2, 2021 at 9:33 AM Tao Li <[email protected]<mailto:[email protected]>> 
wrote:
Hi all,

I was following the instructions from this doc to play with ZetaSQL  
https://beam.apache.org/documentation/dsls/sql/overview/<https://nam11.safelinks.protection.outlook.com/?url=https%3A%2F%2Fbeam.apache.org%2Fdocumentation%2Fdsls%2Fsql%2Foverview%2F&data=04%7C01%7Ctaol%40zillow.com%7C44e3c1a43333455172a108d8df5d0428%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637504937882864479%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=RAXCN9Fbze5N41n35EkgY%2BkNn7pvN1Exib6%2BUr7Df3k%3D&reserved=0>

The query is really simple:

options.as<https://nam11.safelinks.protection.outlook.com/?url=http%3A%2F%2Foptions.as%2F&data=04%7C01%7Ctaol%40zillow.com%7C44e3c1a43333455172a108d8df5d0428%7C033464830d1840e7a5883784ac50e16f%7C0%7C0%7C637504937882864479%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C1000&sdata=UdcvMpWl%2FfmUhxlIu7igK1yTRMDWgIpA7bV2yKYlInU%3D&reserved=0>(BeamSqlPipelineOptions.class).setPlannerName("org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLQueryPlanner")
input.apply(SqlTransform.query("SELECT * from PCOLLECTION"))

I am seeing this error with ZetaSQL  :

Exception in thread "main" java.lang.UnsupportedOperationException: Unknown 
Calcite type: INTEGER
                at 
org.apache.beam.sdk.extensions.sql.zetasql.ZetaSqlCalciteTranslationUtils.toZetaSqlType(ZetaSqlCalciteTranslationUtils.java:114)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.SqlAnalyzer.addFieldsToTable(SqlAnalyzer.java:359)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.SqlAnalyzer.addTableToLeafCatalog(SqlAnalyzer.java:350)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.SqlAnalyzer.lambda$createPopulatedCatalog$1(SqlAnalyzer.java:225)
                at 
com.google.common.collect.ImmutableList.forEach(ImmutableList.java:406)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.SqlAnalyzer.createPopulatedCatalog(SqlAnalyzer.java:225)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLPlannerImpl.rel(ZetaSQLPlannerImpl.java:102)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLQueryPlanner.convertToBeamRelInternal(ZetaSQLQueryPlanner.java:180)
                at 
org.apache.beam.sdk.extensions.sql.zetasql.ZetaSQLQueryPlanner.convertToBeamRel(ZetaSQLQueryPlanner.java:168)
                at 
org.apache.beam.sdk.extensions.sql.impl.BeamSqlEnv.parseQuery(BeamSqlEnv.java:114)
                at 
org.apache.beam.sdk.extensions.sql.SqlTransform.expand(SqlTransform.java:140)
                at 
org.apache.beam.sdk.extensions.sql.SqlTransform.expand(SqlTransform.java:86)

This query works fine when using Calcite (by just removing setPlannerName 
call). Am I missing anything here? For example I am specifying 
'com.google.guava:guava:23.0' as the dependency.

Thanks!


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