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feat!: update native histogram unsigned int types (#8824)
* feat(native-histogram): store counts and span lengths as signed integers Native histograms are unreleased, so the on-disk integer payload columns are switched from unsigned to signed types without backward-compat: - count_u64 / zero_count_u64: uint64 -> int64 - positive_span_lengths / negative_span_lengths: list(uint32) -> list(int32) - Span.length (query-time model): u32 -> i32 The Prometheus remote-write v2 source carries these as uint64/uint32, so the unsigned->signed conversion at the ingestion boundary is overflow checked: an integer count >= 2^63 or a span length >= 2^31 is rejected with an explicit error rather than silently wrapping to a negative value. read_spans additionally rejects negative stored lengths to keep the non-negative invariant sound for downstream `as usize` casts. The UDAF accumulator's own observation counter (transient aggregation state, not part of the persisted histogram value) is intentionally left as uint64. Signed-off-by: Ning Sun <sunning@greptime.com> * refactor(native-histogram): rename count/zero_count fields to _i64 Now that the integer payload columns are stored as int64, rename the field constants and persisted names to match: COUNT_U64_FIELD ("count_u64") -> COUNT_I64_FIELD ("count_i64") ZERO_COUNT_U64_FIELD ("zero_count_u64") -> ZERO_COUNT_I64_FIELD ("zero_count_i64") The local builder variables and the docs/JSON snapshot are updated to match. No backward-compat (unreleased feature). Signed-off-by: Ning Sun <sunning@greptime.com> * test(native-histogram): refresh planner plan snapshot for signed types The mixed native-histogram range test embeds the full histogram Struct type in its expected plan string, which still carried the pre-rename unsigned fields. Update the snapshot to match the signed schema: positive/negative_span_lengths: List(UInt32) -> List(Int32) count_u64/zero_count_u64: UInt64 -> count_i64/zero_count_i64: Int64 Signed-off-by: Ning Sun <sunning@greptime.com> --------- Signed-off-by: Ning Sun <sunning@greptime.com>
This commit is contained in:
Ning Sun
@@ -10026,19 +10026,19 @@ mod test {
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.unwrap()
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.display_indent_schema()
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.to_string();
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let expected = r#"Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("sum_over_time"), timestamp_range, greptime_value, greptime_native_histogram) AS greptime_value, prom_mixed_range_histogram(Utf8("sum_over_time"), timestamp_range, greptime_value, greptime_native_histogram) AS greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[600000], time index=[timestamp], values=["greptime_value", "greptime_native_histogram"] [timestamp:Timestamp(ms), greptime_value:Dictionary(Int64, Float64);N, greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, tag_0:Utf8, timestamp_range:Dictionary(Int64, Timestamp(ms))]
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PromSeriesDivide: tags=["tag_0"] [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_value, prom_mixed_range_histogram(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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PromRangeManipulate: req range=[-540000..100000000], interval=[60000], eval range=[300000], time index=[timestamp], values=["greptime_native_histogram", "greptime_value"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, greptime_value:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]
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PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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Filter: some_metric.timestamp >= TimestampMillisecond(-839999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(UInt32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(UInt32), "count_u64": UInt64, "zero_count_u64": UInt64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]"#;
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let expected = r#"Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("sum_over_time"), timestamp_range, greptime_value, greptime_native_histogram) AS greptime_value, prom_mixed_range_histogram(Utf8("sum_over_time"), timestamp_range, greptime_value, greptime_native_histogram) AS greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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PromRangeManipulate: req range=[0..100000000], interval=[5000], eval range=[600000], time index=[timestamp], values=["greptime_value", "greptime_native_histogram"] [timestamp:Timestamp(ms), greptime_value:Dictionary(Int64, Float64);N, greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, tag_0:Utf8, timestamp_range:Dictionary(Int64, Timestamp(ms))]
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PromSeriesDivide: tags=["tag_0"] [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Filter: greptime_value IS NOT NULL OR greptime_native_histogram IS NOT NULL [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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Projection: some_metric.timestamp, prom_mixed_range_float(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_value, prom_mixed_range_histogram(Utf8("rate"), timestamp_range, greptime_value, greptime_native_histogram, some_metric.timestamp, Int64(300000)) AS greptime_native_histogram, some_metric.tag_0 [timestamp:Timestamp(ms), greptime_value:Float64;N, greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, tag_0:Utf8]
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PromRangeManipulate: req range=[-540000..100000000], interval=[60000], eval range=[300000], time index=[timestamp], values=["greptime_native_histogram", "greptime_value"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Dictionary(Int64, Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64)));N, greptime_value:Dictionary(Int64, Float64);N, timestamp_range:Dictionary(Int64, Timestamp(ms))]
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PromSeriesNormalize: offset=[0], time index=[timestamp], filter NaN: [true] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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PromSeriesDivide: tags=["tag_0"] [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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Sort: some_metric.tag_0 ASC NULLS FIRST, some_metric.timestamp ASC NULLS FIRST [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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Filter: some_metric.timestamp >= TimestampMillisecond(-839999, None) AND some_metric.timestamp <= TimestampMillisecond(100000000, None) [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]
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TableScan: some_metric [tag_0:Utf8, timestamp:Timestamp(ms), greptime_native_histogram:Struct("schema": Int32, "zero_threshold": Float64, "sum": Float64, "reset_hint": Int32, "start_timestamp": Timestamp(ms), "custom_values": List(Float64), "positive_span_offsets": List(Int32), "positive_span_lengths": List(Int32), "negative_span_offsets": List(Int32), "negative_span_lengths": List(Int32), "count_i64": Int64, "zero_count_i64": Int64, "positive_buckets_i64": List(Int64), "negative_buckets_i64": List(Int64), "count_f64": Float64, "zero_count_f64": Float64, "positive_buckets_f64": List(Float64), "negative_buckets_f64": List(Float64));N, greptime_value:Float64;N]"#;
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assert_eq!(plan, expected);
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}
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Reference in New Issue
Block a user