From 890e4746e85138de799a0053e2e47930baba6ff2 Mon Sep 17 00:00:00 2001 From: Larry Booker Date: Wed, 20 Nov 2024 15:43:19 -0800 Subject: [PATCH] Added CountNonNZero, CountNonNegative, CountNonPositive AggCountType values and implementations. --- .../impl/by/BaseChunkedCountOperator.java | 5 +- .../engine/table/impl/TestAggBy.java | 49 +- go/internal/proto/table/table.pb.go | 659 +++++++++--------- .../deephaven/client/AggAllBySessionTest.java | 3 + .../deephaven/client/impl/AggSpecBuilder.java | 6 + .../main/proto/deephaven/proto/table.proto | 3 + py/client/pydeephaven/agg.py | 50 ++ py/client/pydeephaven/proto/table_pb2.py | 16 +- py/client/tests/test_table.py | 6 +- py/server/deephaven/agg.py | 54 +- py/server/tests/test_table.py | 8 +- .../server/table/ops/AggSpecAdapter.java | 6 + .../io/deephaven/api/agg/Aggregation.java | 73 +- .../api/agg/AggregationOptimizer.java | 2 +- .../api/agg/spec/AggSpecCountValues.java | 9 - .../deephaven/api/agg/util/AggCountType.java | 121 +++- 16 files changed, 699 insertions(+), 371 deletions(-) diff --git a/engine/table/src/main/java/io/deephaven/engine/table/impl/by/BaseChunkedCountOperator.java b/engine/table/src/main/java/io/deephaven/engine/table/impl/by/BaseChunkedCountOperator.java index 5a8b16dc3e7..948906df7ac 100644 --- a/engine/table/src/main/java/io/deephaven/engine/table/impl/by/BaseChunkedCountOperator.java +++ b/engine/table/src/main/java/io/deephaven/engine/table/impl/by/BaseChunkedCountOperator.java @@ -3,6 +3,7 @@ // package io.deephaven.engine.table.impl.by; +import io.deephaven.base.verify.Assert; import io.deephaven.chunk.*; import io.deephaven.chunk.attributes.ChunkLengths; import io.deephaven.chunk.attributes.ChunkPositions; @@ -104,7 +105,9 @@ private boolean removeChunk( int chunkSize) { final int count = doCount(chunkStart, chunkSize, values); if (count > 0) { - resultColumnSource.set(destination, plusLong(resultColumnSource.getUnsafe(destination), -count)); + final long newCount = plusLong(resultColumnSource.getUnsafe(destination), -count); + Assert.geqZero(newCount, "newCount"); + resultColumnSource.set(destination, newCount); return true; } return false; diff --git a/engine/table/src/test/java/io/deephaven/engine/table/impl/TestAggBy.java b/engine/table/src/test/java/io/deephaven/engine/table/impl/TestAggBy.java index f5a573f4cb2..57f3730183b 100644 --- a/engine/table/src/test/java/io/deephaven/engine/table/impl/TestAggBy.java +++ b/engine/table/src/test/java/io/deephaven/engine/table/impl/TestAggBy.java @@ -64,7 +64,7 @@ public void testBy() { ColumnHolder bHolder = col("B", 1, 2, 3, 4, 5, 6, 7, 8, 9, 10); ColumnHolder cHolder = col("C", 1, 1, 1, 1, 1, 1, 1, 1, 1, 1); ColumnHolder dHolder = col("D", -5, NULL_INT, -3, NULL_INT, -1, 0, 1, NULL_INT, 3, NULL_INT); - ColumnHolder eHolder = col("E", Double.NEGATIVE_INFINITY, -4.0, NULL_DOUBLE, NULL_DOUBLE, -1.0, 0.0, 1.0, + ColumnHolder eHolder = col("E", Double.NEGATIVE_INFINITY, -4.0, NULL_DOUBLE, NULL_DOUBLE, -1.0, -0.0, 1.0, Double.NaN, 3.0, Double.POSITIVE_INFINITY); ColumnHolder fHolder = col("F", BigDecimal.valueOf(-5), null, BigDecimal.valueOf(-3), null, BigDecimal.valueOf(-1), @@ -141,7 +141,10 @@ public void testBy() { AggCountZero("zeroD=D", "zeroE=E", "zeroF=F", "zeroG=G"), AggCountNaN("nanD=D", "nanE=E", "nanF=F", "nanG=G"), AggCountInfinite("infD=D", "infE=E", "infF=F", "infG=G"), - AggCountFinite("finiteD=D", "finiteE=E", "finiteF=F", "finiteG=G")), + AggCountFinite("finiteD=D", "finiteE=E", "finiteF=F", "finiteG=G"), + AggCountNonZero("nonZeroD=D", "nonZeroE=E", "nonZeroF=F", "nonZeroG=G"), + AggCountNonNegative("nonNegD=D", "nonNegE=E", "nonNegF=F", "nonNegG=G"), + AggCountNonPositive("nonPosD=D", "nonPosE=E", "nonPosF=F", "nonPosG=G")), "A"); show(doubleCounted); assertEquals(2, doubleCounted.size()); @@ -265,6 +268,45 @@ public void testBy() { counts = ColumnVectors.ofLong(doubleCounted, "finiteG"); assertEquals(4L, counts.get(0)); assertEquals(2L, counts.get(1)); + ////////////////////////////// + counts = ColumnVectors.ofLong(doubleCounted, "nonZeroD"); + assertEquals(3L, counts.get(0)); + assertEquals(2L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonZeroE"); + assertEquals(5L, counts.get(0)); + assertEquals(2L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonZeroF"); + assertEquals(3L, counts.get(0)); + assertEquals(2L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonZeroG"); + assertEquals(3L, counts.get(0)); + assertEquals(2L, counts.get(1)); + ////////////////////////////// + counts = ColumnVectors.ofLong(doubleCounted, "nonNegD"); + assertEquals(2L, counts.get(0)); + assertEquals(1L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonNegE"); + assertEquals(3L, counts.get(0)); + assertEquals(1L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonNegF"); + assertEquals(2L, counts.get(0)); + assertEquals(1L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonNegG"); + assertEquals(2L, counts.get(0)); + assertEquals(1L, counts.get(1)); + ////////////////////////////// + counts = ColumnVectors.ofLong(doubleCounted, "nonPosD"); + assertEquals(3L, counts.get(0)); + assertEquals(1L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonPosE"); + assertEquals(4L, counts.get(0)); + assertEquals(0L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonPosF"); + assertEquals(3L, counts.get(0)); + assertEquals(1L, counts.get(1)); + counts = ColumnVectors.ofLong(doubleCounted, "nonPosG"); + assertEquals(3L, counts.get(0)); + assertEquals(1L, counts.get(1)); // Lets do some interesting incremental computations, as this is the use case that I'm really aiming at. For // example, getting the count, and average on each update. @@ -390,6 +432,9 @@ public void testComboByCountTypes() { EvalNugget.from(() -> queryTable.aggBy(AggCountNaN(supportedColumns), "Sym").sort("Sym")), EvalNugget.from(() -> queryTable.aggBy(AggCountInfinite(supportedColumns), "Sym").sort("Sym")), EvalNugget.from(() -> queryTable.aggBy(AggCountFinite(supportedColumns), "Sym").sort("Sym")), + EvalNugget.from(() -> queryTable.aggBy(AggCountNonZero(supportedColumns), "Sym").sort("Sym")), + EvalNugget.from(() -> queryTable.aggBy(AggCountNonNegative(supportedColumns), "Sym").sort("Sym")), + EvalNugget.from(() -> queryTable.aggBy(AggCountNonPositive(supportedColumns), "Sym").sort("Sym")), }; final int steps = 100; // 8; for (int step = 0; step < steps; step++) { diff --git a/go/internal/proto/table/table.pb.go b/go/internal/proto/table/table.pb.go index 16161bad1f8..84440368e0c 100644 --- a/go/internal/proto/table/table.pb.go +++ b/go/internal/proto/table/table.pb.go @@ -198,21 +198,27 @@ const ( AggCountType_COUNT_NAN AggCountType = 7 AggCountType_COUNT_INFINITE AggCountType = 8 AggCountType_COUNT_FINITE AggCountType = 9 + AggCountType_COUNT_NON_ZERO AggCountType = 10 + AggCountType_COUNT_NON_NEGATIVE AggCountType = 11 + AggCountType_COUNT_NON_POSITIVE AggCountType = 12 ) // Enum value maps for AggCountType. var ( AggCountType_name = map[int32]string{ - 0: "COUNT_TYPE_NOT_SPECIFIED", - 1: "COUNT_ALL", - 2: "COUNT_NON_NULL", - 3: "COUNT_NULL", - 4: "COUNT_NEGATIVE", - 5: "COUNT_POSITIVE", - 6: "COUNT_ZERO", - 7: "COUNT_NAN", - 8: "COUNT_INFINITE", - 9: "COUNT_FINITE", + 0: "COUNT_TYPE_NOT_SPECIFIED", + 1: "COUNT_ALL", + 2: "COUNT_NON_NULL", + 3: "COUNT_NULL", + 4: "COUNT_NEGATIVE", + 5: "COUNT_POSITIVE", + 6: "COUNT_ZERO", + 7: "COUNT_NAN", + 8: "COUNT_INFINITE", + 9: "COUNT_FINITE", + 10: "COUNT_NON_ZERO", + 11: "COUNT_NON_NEGATIVE", + 12: "COUNT_NON_POSITIVE", } AggCountType_value = map[string]int32{ "COUNT_TYPE_NOT_SPECIFIED": 0, @@ -225,6 +231,9 @@ var ( "COUNT_NAN": 7, "COUNT_INFINITE": 8, "COUNT_FINITE": 9, + "COUNT_NON_ZERO": 10, + "COUNT_NON_NEGATIVE": 11, + "COUNT_NON_POSITIVE": 12, } ) @@ -12384,7 +12393,7 @@ var file_deephaven_proto_table_proto_rawDesc = []byte{ 0x41, 0x54, 0x45, 0x53, 0x10, 0x02, 0x12, 0x12, 0x0a, 0x0e, 0x5a, 0x45, 0x52, 0x4f, 0x5f, 0x44, 0x4f, 0x4d, 0x49, 0x4e, 0x41, 0x54, 0x45, 0x53, 0x10, 0x03, 0x2a, 0x1b, 0x0a, 0x09, 0x4e, 0x75, 0x6c, 0x6c, 0x56, 0x61, 0x6c, 0x75, 0x65, 0x12, 0x0e, 0x0a, 0x0a, 0x4e, 0x55, 0x4c, 0x4c, 0x5f, - 0x56, 0x41, 0x4c, 0x55, 0x45, 0x10, 0x00, 0x2a, 0xcc, 0x01, 0x0a, 0x0c, 0x41, 0x67, 0x67, 0x43, + 0x56, 0x41, 0x4c, 0x55, 0x45, 0x10, 0x00, 0x2a, 0x90, 0x02, 0x0a, 0x0c, 0x41, 0x67, 0x67, 0x43, 0x6f, 0x75, 0x6e, 0x74, 0x54, 0x79, 0x70, 0x65, 0x12, 0x1c, 0x0a, 0x18, 0x43, 0x4f, 0x55, 0x4e, 0x54, 0x5f, 0x54, 0x59, 0x50, 0x45, 0x5f, 0x4e, 0x4f, 0x54, 0x5f, 0x53, 0x50, 0x45, 0x43, 0x49, 0x46, 0x49, 0x45, 0x44, 0x10, 0x00, 0x12, 0x0d, 0x0a, 0x09, 0x43, 0x4f, 0x55, 0x4e, 0x54, 0x5f, @@ 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b/java-client/session-dagger/src/test/java/io/deephaven/client/AggAllBySessionTest.java index a34ca0e1f3b..0c120738208 100644 --- a/java-client/session-dagger/src/test/java/io/deephaven/client/AggAllBySessionTest.java +++ b/java-client/session-dagger/src/test/java/io/deephaven/client/AggAllBySessionTest.java @@ -143,6 +143,9 @@ public void visit(AggSpecCountValues countValues) { out.add(AggSpecCountValues.of(AggCountType.NAN)); out.add(AggSpecCountValues.of(AggCountType.INFINITE)); out.add(AggSpecCountValues.of(AggCountType.FINITE)); + out.add(AggSpecCountValues.of(AggCountType.NON_ZERO)); + out.add(AggSpecCountValues.of(AggCountType.NON_NEGATIVE)); + out.add(AggSpecCountValues.of(AggCountType.NON_POSITIVE)); } @Override diff --git a/java-client/session/src/main/java/io/deephaven/client/impl/AggSpecBuilder.java b/java-client/session/src/main/java/io/deephaven/client/impl/AggSpecBuilder.java index 76f8cded092..ff94648da2f 100644 --- a/java-client/session/src/main/java/io/deephaven/client/impl/AggSpecBuilder.java +++ b/java-client/session/src/main/java/io/deephaven/client/impl/AggSpecBuilder.java @@ -101,6 +101,12 @@ private static io.deephaven.proto.backplane.grpc.AggCountType adapt( return io.deephaven.proto.backplane.grpc.AggCountType.COUNT_INFINITE; case FINITE: return io.deephaven.proto.backplane.grpc.AggCountType.COUNT_FINITE; + case NON_ZERO: + return io.deephaven.proto.backplane.grpc.AggCountType.COUNT_NON_ZERO; + case NON_NEGATIVE: + return io.deephaven.proto.backplane.grpc.AggCountType.COUNT_NON_NEGATIVE; + case NON_POSITIVE: + return io.deephaven.proto.backplane.grpc.AggCountType.COUNT_NON_POSITIVE; default: throw new IllegalArgumentException(String.format("Unable to adapt AggCountType %s", countType)); } diff --git a/proto/proto-backplane-grpc/src/main/proto/deephaven/proto/table.proto b/proto/proto-backplane-grpc/src/main/proto/deephaven/proto/table.proto index ae6fcf9933d..ee571f8a0f4 100644 --- a/proto/proto-backplane-grpc/src/main/proto/deephaven/proto/table.proto +++ b/proto/proto-backplane-grpc/src/main/proto/deephaven/proto/table.proto @@ -876,6 +876,9 @@ enum AggCountType { COUNT_NAN = 7; COUNT_INFINITE = 8; COUNT_FINITE = 9; + COUNT_NON_ZERO = 10; + COUNT_NON_NEGATIVE = 11; + COUNT_NON_POSITIVE = 12; } message AggSpec { diff --git a/py/client/pydeephaven/agg.py b/py/client/pydeephaven/agg.py index e188351d2a7..671f45ec9d4 100644 --- a/py/client/pydeephaven/agg.py +++ b/py/client/pydeephaven/agg.py @@ -279,6 +279,56 @@ def count_finite(cols: Union[str, List[str]] = None) -> Aggregation: return _AggregationColumns(agg_spec=agg_spec, cols=to_list(cols)) +def count_non_zero(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-zero values within an aggregation group for + each of the given columns. For floating-point types, `NaN` values are excluded but `+/-inf` values are included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + count_type = _GrpcAggCountType.COUNT_NON_ZERO + agg_spec = _GrpcAggSpec(count_values=_GrpcAggSpec.AggSpecCountValues(count_type=count_type)) + return _AggregationColumns(agg_spec=agg_spec, cols=to_list(cols)) + + +def count_non_negative(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-negative values within an aggregation group for + each of the given columns. For floating-point types, `NaN` and `-inf` values are excluded but `+inf` values are + included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + count_type = _GrpcAggCountType.COUNT_NON_NEGATIVE + agg_spec = _GrpcAggSpec(count_values=_GrpcAggSpec.AggSpecCountValues(count_type=count_type)) + return _AggregationColumns(agg_spec=agg_spec, cols=to_list(cols)) + + +def count_non_positive(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-positive values within an aggregation group for + each of the given columns. For floating-point types, `NaN` and `+inf` values are excluded but `-inf` values are + included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + count_type = _GrpcAggCountType.COUNT_NON_POSITIVE + agg_spec = _GrpcAggSpec(count_values=_GrpcAggSpec.AggSpecCountValues(count_type=count_type)) + return _AggregationColumns(agg_spec=agg_spec, cols=to_list(cols)) + + def count_distinct(cols: Union[str, List[str]] = None, count_nulls: bool = False) -> Aggregation: """Creates a Count Distinct aggregation which computes the count of distinct values within an aggregation group for each of the given columns. diff --git a/py/client/pydeephaven/proto/table_pb2.py b/py/client/pydeephaven/proto/table_pb2.py index b8125e448f8..7c0375380a1 100644 --- a/py/client/pydeephaven/proto/table_pb2.py +++ b/py/client/pydeephaven/proto/table_pb2.py @@ -15,7 +15,7 @@ from pydeephaven.proto import ticket_pb2 as deephaven_dot_proto_dot_ticket__pb2 -DESCRIPTOR = _descriptor_pool.Default().AddSerializedFile(b'\n\x1b\x64\x65\x65phaven/proto/table.proto\x12!io.deephaven.proto.backplane.grpc\x1a\x1c\x64\x65\x65phaven/proto/ticket.proto\"l\n\x0eTableReference\x12;\n\x06ticket\x18\x01 \x01(\x0b\x32).io.deephaven.proto.backplane.grpc.TicketH\x00\x12\x16\n\x0c\x62\x61tch_offset\x18\x02 \x01(\x11H\x00\x42\x05\n\x03ref\"\xc6\x01\n\x1d\x45xportedTableCreationResponse\x12\x44\n\tresult_id\x18\x01 \x01(\x0b\x32\x31.io.deephaven.proto.backplane.grpc.TableReference\x12\x0f\n\x07success\x18\x02 \x01(\x08\x12\x12\n\nerror_info\x18\x03 \x01(\t\x12\x15\n\rschema_header\x18\x04 \x01(\x0c\x12\x11\n\tis_static\x18\x05 \x01(\x08\x12\x10\n\x04size\x18\x06 \x01(\x12\x42\x02\x30\x01\"\x97\x01\n\x11\x46\x65tchTableRequest\x12\x44\n\tsource_id\x18\x01 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_globals = globals() _builder.BuildMessageAndEnumDescriptors(DESCRIPTOR, _globals) @@ -76,11 +76,11 @@ _globals['_NULLVALUE']._serialized_start=29569 _globals['_NULLVALUE']._serialized_end=29596 _globals['_AGGCOUNTTYPE']._serialized_start=29599 - _globals['_AGGCOUNTTYPE']._serialized_end=29803 - _globals['_CASESENSITIVITY']._serialized_start=29805 - _globals['_CASESENSITIVITY']._serialized_end=29855 - _globals['_MATCHTYPE']._serialized_start=29857 - _globals['_MATCHTYPE']._serialized_end=29895 + _globals['_AGGCOUNTTYPE']._serialized_end=29871 + _globals['_CASESENSITIVITY']._serialized_start=29873 + _globals['_CASESENSITIVITY']._serialized_end=29923 + _globals['_MATCHTYPE']._serialized_start=29925 + _globals['_MATCHTYPE']._serialized_end=29963 _globals['_TABLEREFERENCE']._serialized_start=96 _globals['_TABLEREFERENCE']._serialized_end=204 _globals['_EXPORTEDTABLECREATIONRESPONSE']._serialized_start=207 @@ -351,6 +351,6 @@ _globals['_BATCHTABLEREQUEST']._serialized_end=29349 _globals['_BATCHTABLEREQUEST_OPERATION']._serialized_start=26029 _globals['_BATCHTABLEREQUEST_OPERATION']._serialized_end=29349 - _globals['_TABLESERVICE']._serialized_start=29898 - _globals['_TABLESERVICE']._serialized_end=36355 + _globals['_TABLESERVICE']._serialized_start=29966 + _globals['_TABLESERVICE']._serialized_end=36423 # @@protoc_insertion_point(module_scope) diff --git a/py/client/tests/test_table.py b/py/client/tests/test_table.py index 8b81c936eec..276a10a98c2 100644 --- a/py/client/tests/test_table.py +++ b/py/client/tests/test_table.py @@ -11,7 +11,8 @@ from pydeephaven import DHError from pydeephaven import SortDirection from pydeephaven.agg import sum_, avg, pct, weighted_avg, count_, partition, median, unique, count_distinct, distinct, \ - formula, count_non_null, count_null, count_neg, count_pos, count_zero, count_nan, count_inf, count_finite + formula, count_non_null, count_null, count_neg, count_pos, count_zero, count_nan, count_inf, count_finite, \ + count_non_zero, count_non_negative, count_non_positive from pydeephaven.table import Table from tests.testbase import BaseTestCase @@ -264,6 +265,9 @@ def test_agg_by(self): count_nan(cols=["aggCountNaN=d"]), count_inf(cols=["aggCountInf=b"]), count_finite(cols=["aggCountFinite=c"]), + count_non_zero(cols=["aggCountNonZero=d"]), + count_non_negative(cols=["aggCountNonNeg=b"]), + count_non_positive(cols=["aggCountNonPos=c"]), ] result_table = test_table.agg_by(aggs=aggs, by=["a"]) diff --git a/py/server/deephaven/agg.py b/py/server/deephaven/agg.py index 73ce20d49e9..b82df07a0b2 100644 --- a/py/server/deephaven/agg.py +++ b/py/server/deephaven/agg.py @@ -213,7 +213,8 @@ def count_zero(cols: Union[str, List[str]] = None) -> Aggregation: def count_nan(cols: Union[str, List[str]] = None) -> Aggregation: """Creates a count aggregation which computes the count of NaN values within an aggregation group for - each of the given columns. + each of the given columns. This applies only to floating-point types (float, double) and will return zero + for all other types. Args: cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; @@ -226,8 +227,9 @@ def count_nan(cols: Union[str, List[str]] = None) -> Aggregation: def count_inf(cols: Union[str, List[str]] = None) -> Aggregation: - """Creates a count aggregation which computes the count of infinite values within an aggregation group for - each of the given columns. + """Creates a count aggregation which computes the count of +/-inf values within an aggregation group for + each of the given columns. This applies only to floating-point types (float, double) and will return zero + for all other types. Args: cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; @@ -241,7 +243,7 @@ def count_inf(cols: Union[str, List[str]] = None) -> Aggregation: def count_finite(cols: Union[str, List[str]] = None) -> Aggregation: """Creates a count aggregation which computes the count of finite values within an aggregation group for - each of the given columns. + each of the given columns. A finite value is any value other than `NaN`, `+/-inf`, or `null`. Args: cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; @@ -253,6 +255,50 @@ def count_finite(cols: Union[str, List[str]] = None) -> Aggregation: return Aggregation(j_agg_spec=_JAggSpec.countValues(_JAggCountType.FINITE), cols=cols) +def count_non_zero(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-zero values within an aggregation group for + each of the given columns. For floating-point types, `NaN` values are excluded but `+/-inf` values are included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + return Aggregation(j_agg_spec=_JAggSpec.countValues(_JAggCountType.NON_ZERO), cols=cols) + + +def count_non_negative(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-negative values within an aggregation group for + each of the given columns. For floating-point types, `NaN` and `-inf` values are excluded but `+inf` values are + included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + return Aggregation(j_agg_spec=_JAggSpec.countValues(_JAggCountType.NON_NEGATIVE), cols=cols) + + +def count_non_positive(cols: Union[str, List[str]] = None) -> Aggregation: + """Creates a count aggregation which computes the count of non-positive values within an aggregation group for + each of the given columns. For floating-point types, `NaN` and `+inf` values are excluded but `-inf` values are + included. + + Args: + cols (Union[str, List[str]]): the column(s) to aggregate on, can be renaming expressions, i.e. "new_col = col"; + default is None, only valid when used in Table agg_all_by operation + + Returns: + an aggregation + """ + return Aggregation(j_agg_spec=_JAggSpec.countValues(_JAggCountType.NON_POSITIVE), cols=cols) + + def count_distinct(cols: Union[str, List[str]] = None, count_nulls: bool = False) -> Aggregation: """Creates a Count Distinct aggregation which computes the count of distinct values within an aggregation group for each of the given columns. diff --git a/py/server/tests/test_table.py b/py/server/tests/test_table.py index 258d0b9db90..48501f33382 100644 --- a/py/server/tests/test_table.py +++ b/py/server/tests/test_table.py @@ -9,7 +9,7 @@ from deephaven import DHError, read_csv, empty_table, SortDirection, time_table, update_graph, new_table, dtypes from deephaven.agg import sum_, weighted_avg, avg, pct, group, count_, first, last, max_, median, min_, std, abs_sum, \ var, formula, partition, unique, count_distinct, distinct, count_non_null, count_null, count_neg, count_pos, \ - count_zero, count_nan, count_inf, count_finite + count_zero, count_nan, count_inf, count_finite, count_non_zero, count_non_negative, count_non_positive from deephaven.column import datetime_col from deephaven.execution_context import make_user_exec_ctx, get_exec_ctx from deephaven.html import to_html @@ -52,6 +52,9 @@ def setUp(self): count_nan("aggCountNaN=var"), count_inf("aggCountInf=var"), count_finite("aggCountFinite=var"), + count_non_zero("aggCountNonZero=var"), + count_non_negative("aggCountNonNeg=var"), + count_non_positive("aggCountNonPos=var"), first(["aggFirst=var"]), last(["aggLast=var"]), max_(["aggMax=var"]), @@ -482,6 +485,9 @@ def test_agg_by(self): count_nan(cols=["aggCountNaN=d"]), count_inf(cols=["aggCountInf=b"]), count_finite(cols=["aggCountFinite=c"]), + count_non_zero(cols=["aggCountNonZero=d"]), + count_non_negative(cols=["aggCountNonNeg=b"]), + count_non_positive(cols=["aggCountNonPos=c"]), ] result_table = self.test_table.agg_by(aggs=aggs, by=["a"]) diff --git a/server/src/main/java/io/deephaven/server/table/ops/AggSpecAdapter.java b/server/src/main/java/io/deephaven/server/table/ops/AggSpecAdapter.java index 39c7429ae50..7d50a313abe 100644 --- a/server/src/main/java/io/deephaven/server/table/ops/AggSpecAdapter.java +++ b/server/src/main/java/io/deephaven/server/table/ops/AggSpecAdapter.java @@ -162,6 +162,12 @@ private static io.deephaven.api.agg.util.AggCountType adapt( return io.deephaven.api.agg.util.AggCountType.INFINITE; case COUNT_FINITE: return AggCountType.FINITE; + case COUNT_NON_ZERO: + return AggCountType.NON_ZERO; + case COUNT_NON_NEGATIVE: + return AggCountType.NON_NEGATIVE; + case COUNT_NON_POSITIVE: + return AggCountType.NON_POSITIVE; default: throw new IllegalArgumentException("Unsupported AggSpecCountValues.AggCountType - " + countType); } diff --git a/table-api/src/main/java/io/deephaven/api/agg/Aggregation.java b/table-api/src/main/java/io/deephaven/api/agg/Aggregation.java index ea9a938db36..185bf7676af 100644 --- a/table-api/src/main/java/io/deephaven/api/agg/Aggregation.java +++ b/table-api/src/main/java/io/deephaven/api/agg/Aggregation.java @@ -217,7 +217,7 @@ static Count AggCount(String resultColumn) { } /** - * An alias for {@link #AggCount(String)}, creates aggregations that count all values. + * An alias for {@link #AggCount(String)}, creates an aggregation that counts all values. * * @param resultColumn The output column name containing the count * @return The aggregation @@ -227,8 +227,8 @@ static Aggregation AggCountAll(String resultColumn) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * non-null values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only non-null values. * * @param pairs The input/output column name pairs * @return The aggregation @@ -238,8 +238,8 @@ static Aggregation AggCountNonNull(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * null values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only null values. * * @param pairs The input/output column name pairs * @return The aggregation @@ -249,8 +249,8 @@ static Aggregation AggCountNull(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * negative values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only negative values. * * @param pairs The input/output column name pairs * @return The aggregation @@ -260,8 +260,8 @@ static Aggregation AggCountNegative(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * positive values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only positive values. * * @param pairs The input/output column name pairs * @return The aggregation @@ -271,8 +271,8 @@ static Aggregation AggCountPositive(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * zero values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only zero values. * * @param pairs The input/output column name pairs * @return The aggregation @@ -282,8 +282,9 @@ static Aggregation AggCountZero(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * NaN values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only NaN values. This applies only to floating-point types (float, double) and will return zero + * for all other types. * * @param pairs The input/output column name pairs * @return The aggregation @@ -293,8 +294,9 @@ static Aggregation AggCountNaN(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * infinite values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only +/- infinite values. This applies only to floating-point types and will return zero for all + * other types. * * @param pairs The input/output column name pairs * @return The aggregation @@ -304,8 +306,9 @@ static Aggregation AggCountInfinite(String... pairs) { } /** - * Create a {@link io.deephaven.api.agg.Count count} aggregation with the supplied output column name including only - * finite values. + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only finite values. A finite value is any value other than {@code NaN}, {@code +/- inf}, or + * {@code null}. * * @param pairs The input/output column name pairs * @return The aggregation @@ -314,6 +317,42 @@ static Aggregation AggCountFinite(String... pairs) { return of(AggSpec.countValues(AggCountType.FINITE), pairs); } + /** + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only non-zero, non-null values. For floating-point types, {@code NaN} values are excluded but + * {@code +/-inf} values are included. + * + * @param pairs The input/output column name pairs + * @return The aggregation + */ + static Aggregation AggCountNonZero(String... pairs) { + return of(AggSpec.countValues(AggCountType.NON_ZERO), pairs); + } + + /** + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only non-negative, non-null values. For floating-point types, {@code NaN} and {@code -inf} values + * are excluded but {@code +inf} values are included. + * + * @param pairs The input/output column name pairs + * @return The aggregation + */ + static Aggregation AggCountNonNegative(String... pairs) { + return of(AggSpec.countValues(AggCountType.NON_NEGATIVE), pairs); + } + + /** + * Create a {@link io.deephaven.api.agg.spec.AggSpecCountValues count} aggregation with the supplied output column + * name including only non-positive, non-null values. For floating-point types, {@code NaN} and {@code +inf} values + * are excluded but {@code -inf} values are included + * + * @param pairs The input/output column name pairs + * @return The aggregation + */ + static Aggregation AggCountNonPositive(String... pairs) { + return of(AggSpec.countValues(AggCountType.NON_POSITIVE), pairs); + } + /** * Create a {@link io.deephaven.api.agg.spec.AggSpecCountDistinct count distinct} aggregation for the supplied * column name pairs. This will not count {@code null} values from the input column(s). diff --git a/table-api/src/main/java/io/deephaven/api/agg/AggregationOptimizer.java b/table-api/src/main/java/io/deephaven/api/agg/AggregationOptimizer.java index faa37579fc7..1d08c54f4d7 100644 --- a/table-api/src/main/java/io/deephaven/api/agg/AggregationOptimizer.java +++ b/table-api/src/main/java/io/deephaven/api/agg/AggregationOptimizer.java @@ -55,7 +55,7 @@ public List build() { throw new IllegalStateException("Unexpected key type: " + e.getKey()); } - // Group all the aggregations with the same spec together + // Group all the aggregations with the same spec into a single operator final AggSpec aggSpec = (AggSpec) e.getKey(); final List pairs = new ArrayList<>(); diff --git a/table-api/src/main/java/io/deephaven/api/agg/spec/AggSpecCountValues.java b/table-api/src/main/java/io/deephaven/api/agg/spec/AggSpecCountValues.java index ed1cb8455cc..40d187b7542 100644 --- a/table-api/src/main/java/io/deephaven/api/agg/spec/AggSpecCountValues.java +++ b/table-api/src/main/java/io/deephaven/api/agg/spec/AggSpecCountValues.java @@ -15,15 +15,6 @@ @SimpleStyle public abstract class AggSpecCountValues extends AggSpecBase { - /** - * Create a new AggSpecCountValues with {@code countType} of {@code NON_NULL}. - * - * @return the agg spec - */ - public static AggSpecCountValues of() { - return of(AggCountType.NON_NULL); - } - /** * Create a new AggSpecCountValues with the specified {@code countType}. * diff --git a/table-api/src/main/java/io/deephaven/api/agg/util/AggCountType.java b/table-api/src/main/java/io/deephaven/api/agg/util/AggCountType.java index 2c6f8142208..8fb9eedff8c 100644 --- a/table-api/src/main/java/io/deephaven/api/agg/util/AggCountType.java +++ b/table-api/src/main/java/io/deephaven/api/agg/util/AggCountType.java @@ -13,12 +13,68 @@ * The types of counts that can be performed. */ public enum AggCountType { - ALL, NON_NULL, NULL, NEGATIVE, POSITIVE, ZERO, NAN, INFINITE, FINITE; + /** + * Count all values, including null + */ + ALL, + + /** + * Count non-null values + */ + NON_NULL, + + /** + * Count null values + */ + NULL, + + /** + * Count non-null negative values. For floating point types, this includes -inf but excludes +/-0.0 + */ + NEGATIVE, + + /** + * Count non-null positive values. For floating point types, this includes +inf but excludes +/-0.0 + */ + POSITIVE, + + /** + * Count zero values. For floating point types, this includes both -0.0 and +0.0 + */ + ZERO, - /* - * This class leverages assumptions about null values for the various primitive types to optimize count operations. - * This assert ensures that the assumptions are regularly verified against future changes. + /** + * Count NaN values. For non-floating point types, this count is always 0 */ + NAN, + + /** + * Count +/-inf values. For non-floating point types, this count is always 0 + */ + INFINITE, + + /** + * Count finite values. This excludes NaN, +/-inf, and null values + */ + FINITE, + + /** + * Count non-null non-zero values. For floating point types, this excludes +/-0.0 but includes +/- inf + */ + NON_ZERO, + + /** + * Count non-null non-negative values. For floating point types, this excludes -inf but includes +/-0.0 and +inf + */ + NON_NEGATIVE, + + /** + * Count non-null non-positive values. For floating point types, this excludes +inf but includes +/-0.0 and -inf + */ + NON_POSITIVE; + + // This class leverages assumptions about null values for the various primitive types to optimize count operations. + // This assert ensures that the assumptions are regularly verified against future changes. static { assert QueryConstants.NULL_BYTE < 0; assert QueryConstants.NULL_CHAR > 0; // null char is the only positive value @@ -101,6 +157,12 @@ public static ByteCountFunction getByteCountFunction(final AggCountType countTyp case NAN: case INFINITE: return value -> false; + case NON_ZERO: + return value -> value != QueryConstants.NULL_BYTE && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_BYTE is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_BYTE && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for byte data type"); @@ -113,6 +175,7 @@ public static CharCountFunction getCharCountFunction(final AggCountType countTyp return value -> true; case NON_NULL: case FINITE: + case NON_NEGATIVE: // char is unsigned return value -> value != QueryConstants.NULL_CHAR; case NULL: return value -> value == QueryConstants.NULL_CHAR; @@ -124,6 +187,10 @@ public static CharCountFunction getCharCountFunction(final AggCountType countTyp case NAN: case INFINITE: return value -> false; + case NON_ZERO: + return value -> value != QueryConstants.NULL_CHAR && value != 0; + case NON_POSITIVE: + return value -> value == QueryConstants.NULL_CHAR || value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for char data type"); @@ -148,6 +215,12 @@ public static ShortCountFunction getShortCountFunction(final AggCountType countT case NAN: case INFINITE: return value -> false; + case NON_ZERO: + return value -> value != QueryConstants.NULL_SHORT && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_SHORT is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_SHORT && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for short data type"); @@ -172,6 +245,12 @@ public static IntCountFunction getIntCountFunction(final AggCountType countType) case NAN: case INFINITE: return value -> false; + case NON_ZERO: + return value -> value != QueryConstants.NULL_INT && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_INT is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_INT && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for int data type"); @@ -196,6 +275,12 @@ public static LongCountFunction getLongCountFunction(final AggCountType countTyp case NAN: case INFINITE: return value -> false; + case NON_ZERO: + return value -> value != QueryConstants.NULL_LONG && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_LONG is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_LONG && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for long data type"); @@ -203,6 +288,8 @@ public static LongCountFunction getLongCountFunction(final AggCountType countTyp } public static FloatCountFunction getFloatCountFunction(final AggCountType countType) { + // NOTE: we are leveraging the fact that comparisons with NaN always return false (<, >, <=, >= etc.) to + // filter out NaN values switch (countType) { case ALL: return value -> true; @@ -222,6 +309,12 @@ public static FloatCountFunction getFloatCountFunction(final AggCountType countT return Float::isInfinite; case FINITE: return value -> value != QueryConstants.NULL_FLOAT && Float.isFinite(value); + case NON_ZERO: + return value -> value != QueryConstants.NULL_FLOAT && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_FLOAT is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_FLOAT && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for float data type"); @@ -229,6 +322,8 @@ public static FloatCountFunction getFloatCountFunction(final AggCountType countT } public static DoubleCountFunction getDoubleCountFunction(final AggCountType countType) { + // NOTE: we are leveraging the fact that comparisons with NaN always return false (<, >, <=, >= etc.) to + // filter out NaN values switch (countType) { case ALL: return value -> true; @@ -248,6 +343,12 @@ public static DoubleCountFunction getDoubleCountFunction(final AggCountType coun return Double::isInfinite; case FINITE: return value -> value != QueryConstants.NULL_DOUBLE && Double.isFinite(value); + case NON_ZERO: + return value -> value != QueryConstants.NULL_DOUBLE && value != 0; + case NON_NEGATIVE: + return value -> value >= 0; // NULL_DOUBLE is negative + case NON_POSITIVE: + return value -> value != QueryConstants.NULL_DOUBLE && value <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for double data type"); @@ -286,6 +387,12 @@ public static BigDecimalCountFunction getBigDecimalCountFunction(final AggCountT case NAN: case INFINITE: return index -> false; + case NON_ZERO: + return value -> value != null && value.signum() != 0; + case NON_NEGATIVE: + return value -> value != null && value.signum() >= 0; + case NON_POSITIVE: + return value -> value != null && value.signum() <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for BigDecimal data type"); @@ -310,6 +417,12 @@ public static BigIntegerCountFunction getBigIntegerCountFunction(final AggCountT case NAN: case INFINITE: return index -> false; + case NON_ZERO: + return value -> value != null && value.signum() != 0; + case NON_NEGATIVE: + return value -> value != null && value.signum() >= 0; + case NON_POSITIVE: + return value -> value != null && value.signum() <= 0; default: throw new UnsupportedOperationException( "Unsupported count type: " + countType + " for BigInteger data type");