robinyqiu commented on a change in pull request #12174:
URL: https://github.com/apache/beam/pull/12174#discussion_r453958885



##########
File path: 
sdks/java/extensions/sql/zetasql/src/test/java/org/apache/beam/sdk/extensions/sql/zetasql/TestInput.java
##########
@@ -258,6 +259,14 @@
           .addRows(LocalTime.of(15, 30, 0), "s")
           .addRows(LocalTime.of(23, 35, 59), "s");
 
+  private static final Schema TABLE_WTH_NUMERIC_SCHEMA =
+      
Schema.builder().addDecimalField("numeric_field").addStringField("str_field").build();
+  public static final TestBoundedTable TABLE_WITH_NUMERIC =
+      TestBoundedTable.of(TABLE_WTH_NUMERIC_SCHEMA)
+          .addRows(new BigDecimal("123.4567").setScale(9), "str1")

Review comment:
       `new BigDecimal("some string").setScale(9)` is used a lot of times in 
this file and the test file. I would create a utility function for better style.
   
   How about we create a new file `ZetaSqlTypesUtils.java` in /main and make a 
`BigDecimal bigDecimalAsNumeric(String s)`?

##########
File path: 
sdks/java/extensions/sql/zetasql/src/main/java/org/apache/beam/sdk/extensions/sql/zetasql/translation/ExpressionConverter.java
##########
@@ -805,6 +807,22 @@ private RexNode convertSimpleValueToRexNode(TypeKind kind, 
Value value) {
                 .makeLiteral(
                     value.getStringValue(), 
typeFactory().createSqlType(SqlTypeName.VARCHAR), true);
         break;
+      case TYPE_NUMERIC:
+        // As ZetaSQL NUMERIC literal would be unparsed as DOUBLE through 
Calcite makeExactLiteral

Review comment:
       Technically speaking, it is not "unparsed as DOUBLE". Also, I would 
update the comment to be more descriptive, like:
   
   Cannot simply call makeExactLiteral() because later it will be unparsed to 
the string representation of the BigDecimal itself (e.g. "SELECT NUMERIC '0'" 
will be unparsed to "SELECT 0E-9"), and Calcite does not allow customize 
unparsing of SqlNumericLiteral. So we create a wrapper function here such that 
we can later recognize it and customize its unparsing in 
BeamBigQuerySqlDialect. 

##########
File path: 
sdks/java/extensions/sql/zetasql/src/test/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSqlDialectSpecTest.java
##########
@@ -2174,6 +2175,246 @@ public void testZetaSQLNestedQueryFive() {
     
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
   }
 
+  /////////////////////////////////////////////////////////////////////////////
+  // NUMERIC type tests
+  /////////////////////////////////////////////////////////////////////////////
+
+  @Test
+  public void testNumericLiteral() {
+    String sql =
+        "SELECT NUMERIC '0', "
+            + "NUMERIC '123456', "
+            + "NUMERIC '-3.14', "
+            + "NUMERIC '-0.54321', "
+            + "NUMERIC '1.23456e05', "
+            + "NUMERIC '-9.876e-3', "
+            + "NUMERIC '-99999999999999999999999999999.999999999', "

Review comment:
       Add comment on these are the min/max values that can be represented as 
ZetaSQL NUMERIC?

##########
File path: 
sdks/java/extensions/sql/zetasql/src/test/java/org/apache/beam/sdk/extensions/sql/zetasql/ZetaSqlDialectSpecTest.java
##########
@@ -2174,6 +2175,246 @@ public void testZetaSQLNestedQueryFive() {
     
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
   }
 
+  /////////////////////////////////////////////////////////////////////////////
+  // NUMERIC type tests
+  /////////////////////////////////////////////////////////////////////////////
+
+  @Test
+  public void testNumericLiteral() {
+    String sql =
+        "SELECT NUMERIC '0', "
+            + "NUMERIC '123456', "
+            + "NUMERIC '-3.14', "
+            + "NUMERIC '-0.54321', "
+            + "NUMERIC '1.23456e05', "
+            + "NUMERIC '-9.876e-3', "
+            + "NUMERIC '-99999999999999999999999999999.999999999', "
+            + "NUMERIC '99999999999999999999999999999.999999999'";
+    ;
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            Row.withSchema(
+                    Schema.builder()
+                        .addDecimalField("f_numeric1")
+                        .addDecimalField("f_numeric2")
+                        .addDecimalField("f_numeric3")
+                        .addDecimalField("f_numeric4")
+                        .addDecimalField("f_numeric5")
+                        .addDecimalField("f_numeric6")
+                        .addDecimalField("f_numeric7")
+                        .addDecimalField("f_numeric8")
+                        .build())
+                .addValues(new BigDecimal("0").setScale(9))
+                .addValues(new BigDecimal("123456").setScale(9))
+                .addValues(new BigDecimal("-3.14").setScale(9))
+                .addValues(new BigDecimal("-0.54321").setScale(9))
+                .addValues(new BigDecimal("123456").setScale(9))
+                .addValues(new BigDecimal("-0.009876").setScale(9))
+                .addValues(new 
BigDecimal("-99999999999999999999999999999.999999999"))
+                .addValues(new 
BigDecimal("99999999999999999999999999999.999999999"))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testUnaryMinusNumeric() {
+    String sql = "SELECT - NUMERIC '1.23456e05'";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("-123456").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testAddNumeric() {
+    String sql = "SELECT NUMERIC '1.23456e05' + NUMERIC '9.876e-3'";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("123456.009876").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testSubNumeric() {
+    String sql = "SELECT NUMERIC '1.23456e05' - NUMERIC '-9.876e-3'";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("123456.009876").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testMultiNumeric() {
+    String sql = "SELECT NUMERIC '1.23e02' * NUMERIC '-1.001e-3'";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("-0.123123").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testDivNumeric() {
+    String sql = "SELECT NUMERIC '-1.23123e-1' / NUMERIC '-1.001e-3'";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("123").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testModNumeric() {
+    String sql = "SELECT MOD(NUMERIC '1.23456e05', NUMERIC '5')";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            
Row.withSchema(Schema.builder().addDecimalField("f_numeric").build())
+                .addValues(new BigDecimal("1").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testFloorNumeric() {
+    String sql = "SELECT FLOOR(NUMERIC '1.23456e04'), FLOOR(NUMERIC 
'-1.23456e04')";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            Row.withSchema(
+                    Schema.builder()
+                        .addDecimalField("f_numeric1")
+                        .addDecimalField("f_numeric2")
+                        .build())
+                .addValues(new BigDecimal("12345").setScale(9))
+                .addValues(new BigDecimal("-12346").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testCeilNumeric() {
+    String sql = "SELECT CEIL(NUMERIC '1.23456e04'), CEIL(NUMERIC 
'-1.23456e04')";
+
+    ZetaSQLQueryPlanner zetaSQLQueryPlanner = new ZetaSQLQueryPlanner(config);
+    BeamRelNode beamRelNode = zetaSQLQueryPlanner.convertToBeamRel(sql);
+    PCollection<Row> stream = BeamSqlRelUtils.toPCollection(pipeline, 
beamRelNode);
+
+    PAssert.that(stream)
+        .containsInAnyOrder(
+            Row.withSchema(
+                    Schema.builder()
+                        .addDecimalField("f_numeric1")
+                        .addDecimalField("f_numeric2")
+                        .build())
+                .addValues(new BigDecimal("12346").setScale(9))
+                .addValues(new BigDecimal("-12345").setScale(9))
+                .build());
+    
pipeline.run().waitUntilFinish(Duration.standardMinutes(PIPELINE_EXECUTION_WAITTIME_MINUTES));
+  }
+
+  @Test
+  public void testNumericColumn() {

Review comment:
       Nit: move this below `testNumericLiteral()` as we did in other places?




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