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fix: handle non-identical time index and field column in PromQL set operation (#3145)
* handle different field columns Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * fix and/unless on different time index Signed-off-by: Ruihang Xia <waynestxia@gmail.com> * update sqlness result Signed-off-by: Ruihang Xia <waynestxia@gmail.com> --------- Signed-off-by: Ruihang Xia <waynestxia@gmail.com>
This commit is contained in:
Ruihang Xia
GitHub
@@ -129,6 +129,12 @@ pub enum Error {
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right: Vec<String>,
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location: Location,
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},
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#[snafu(display("Multi fields calculation is not supported in {}", operator))]
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MultiFieldsNotSupported {
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operator: String,
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location: Location,
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},
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}
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impl ErrorExt for Error {
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@@ -149,6 +155,7 @@ impl ErrorExt for Error {
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| UnsupportedVectorMatch { .. }
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| CombineTableColumnMismatch { .. }
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| DataFusionPlanning { .. }
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| MultiFieldsNotSupported { .. }
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| UnexpectedPlanExpr { .. }
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| IllegalRange { .. } => StatusCode::InvalidArguments,
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@@ -362,6 +362,7 @@ impl HashedData {
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) -> DataFusionResult<Self> {
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// Collect all batches from the input stream
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let initial = (Vec::new(), 0);
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let schema = input.schema();
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let (batches, _num_rows) = input
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.try_fold(initial, |mut acc, batch| async {
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// Update rowcount
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@@ -399,7 +400,7 @@ impl HashedData {
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}
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// Finilize the hash map
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let batch = interleave_batches(batches, interleave_indices)?;
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let batch = interleave_batches(schema, batches, interleave_indices)?;
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Ok(Self {
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hash_map,
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@@ -442,10 +443,19 @@ impl HashedData {
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/// Utility function to interleave batches. Based on [interleave](datafusion::arrow::compute::interleave)
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fn interleave_batches(
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schema: SchemaRef,
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batches: Vec<RecordBatch>,
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indices: Vec<(usize, usize)>,
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) -> DataFusionResult<RecordBatch> {
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let schema = batches[0].schema();
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if batches.is_empty() {
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if indices.is_empty() {
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return Ok(RecordBatch::new_empty(schema));
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} else {
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return Err(DataFusionError::Internal(
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"Cannot interleave empty batches with non-empty indices".to_string(),
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));
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}
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}
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// transform batches into arrays
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let mut arrays = vec![vec![]; schema.fields().len()];
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@@ -488,6 +498,8 @@ fn take_batch(batch: &RecordBatch, indices: &[usize]) -> DataFusionResult<Record
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#[cfg(test)]
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mod test {
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use std::sync::Arc;
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use datafusion::arrow::array::Int32Array;
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use datafusion::arrow::datatypes::{DataType, Field, Schema};
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@@ -529,7 +541,7 @@ mod test {
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let batches = vec![batch1, batch2, batch3];
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let indices = vec![(0, 0), (1, 0), (2, 0), (0, 1), (1, 1), (2, 1)];
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let result = interleave_batches(batches, indices).unwrap();
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let result = interleave_batches(Arc::new(schema.clone()), batches, indices).unwrap();
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let expected = RecordBatch::try_new(
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Arc::new(schema),
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@@ -46,10 +46,11 @@ use table::table::adapter::DfTableProviderAdapter;
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use crate::error::{
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CatalogSnafu, ColumnNotFoundSnafu, CombineTableColumnMismatchSnafu, DataFusionPlanningSnafu,
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ExpectRangeSelectorSnafu, FunctionInvalidArgumentSnafu, MultipleMetricMatchersSnafu,
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MultipleVectorSnafu, NoMetricMatcherSnafu, Result, TableNameNotFoundSnafu,
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TimeIndexNotFoundSnafu, UnexpectedPlanExprSnafu, UnexpectedTokenSnafu, UnknownTableSnafu,
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UnsupportedExprSnafu, UnsupportedVectorMatchSnafu, ValueNotFoundSnafu, ZeroRangeSelectorSnafu,
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ExpectRangeSelectorSnafu, FunctionInvalidArgumentSnafu, MultiFieldsNotSupportedSnafu,
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MultipleMetricMatchersSnafu, MultipleVectorSnafu, NoMetricMatcherSnafu, Result,
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TableNameNotFoundSnafu, TimeIndexNotFoundSnafu, UnexpectedPlanExprSnafu, UnexpectedTokenSnafu,
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UnknownTableSnafu, UnsupportedExprSnafu, UnsupportedVectorMatchSnafu, ValueNotFoundSnafu,
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ZeroRangeSelectorSnafu,
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};
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use crate::extension_plan::{
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build_special_time_expr, EmptyMetric, HistogramFold, InstantManipulate, Millisecond,
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@@ -1547,7 +1548,7 @@ impl PromPlanner {
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fn set_op_on_non_field_columns(
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&mut self,
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left: LogicalPlan,
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right: LogicalPlan,
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mut right: LogicalPlan,
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left_context: PromPlannerContext,
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right_context: PromPlannerContext,
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op: TokenType,
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@@ -1619,11 +1620,36 @@ impl PromPlanner {
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}
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)
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};
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let left_time_index = left_context.time_index_column.clone().unwrap();
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let right_time_index = right_context.time_index_column.clone().unwrap();
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let join_keys = left_tag_col_set
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.iter()
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.cloned()
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.chain([self.ctx.time_index_column.clone().unwrap()])
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.chain([left_time_index.clone()])
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.collect::<Vec<_>>();
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self.ctx.time_index_column = Some(left_time_index.clone());
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// alias right time index column if necessary
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if left_context.time_index_column != right_context.time_index_column {
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let right_project_exprs = right
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.schema()
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.fields()
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.iter()
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.map(|field| {
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if field.name() == &right_time_index {
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DfExpr::Column(Column::from_name(&right_time_index)).alias(&left_time_index)
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} else {
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DfExpr::Column(Column::from_name(field.name()))
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}
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})
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.collect::<Vec<_>>();
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right = LogicalPlanBuilder::from(right)
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.project(right_project_exprs)
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.context(DataFusionPlanningSnafu)?
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.build()
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.context(DataFusionPlanningSnafu)?;
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}
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// Generate join plan.
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// All set operations in PromQL are "distinct"
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@@ -1675,6 +1701,21 @@ impl PromPlanner {
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right_context: PromPlannerContext,
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modifier: &Option<BinModifier>,
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) -> Result<LogicalPlan> {
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// checks
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ensure!(
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left_context.field_columns.len() == right_context.field_columns.len(),
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CombineTableColumnMismatchSnafu {
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left: left_context.field_columns.clone(),
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right: right_context.field_columns.clone()
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}
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);
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ensure!(
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left_context.field_columns.len() == 1,
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MultiFieldsNotSupportedSnafu {
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operator: "OR operator"
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}
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);
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// prepare hash sets
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let all_tags = left_tag_cols_set
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.union(&right_tag_cols_set)
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@@ -1712,6 +1753,9 @@ impl PromPlanner {
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.with_context(|| TimeIndexNotFoundSnafu {
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table: right_qualifier_string.clone(),
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})?;
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// Take the name of first field column. The length is checked above.
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let left_field_col = left_context.field_columns.first().unwrap();
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let right_field_col = right_context.field_columns.first().unwrap();
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// step 0: fill all columns in output schema
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let mut all_columns_set = left
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@@ -1724,6 +1768,10 @@ impl PromPlanner {
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// remove time index column
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all_columns_set.remove(&left_time_index_column);
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all_columns_set.remove(&right_time_index_column);
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// remove field column in the right
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if left_field_col != right_field_col {
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all_columns_set.remove(right_field_col);
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}
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let mut all_columns = all_columns_set.into_iter().collect::<Vec<_>>();
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// sort to ensure the generated schema is not volatile
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all_columns.sort_unstable();
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@@ -1735,7 +1783,7 @@ impl PromPlanner {
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if tags_not_in_left.contains(col) {
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DfExpr::Literal(ScalarValue::Utf8(None)).alias(col.to_string())
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} else {
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DfExpr::Column(Column::new(left_qualifier.clone(), col))
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DfExpr::Column(Column::new(None::<String>, col))
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}
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});
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let right_time_index_expr = DfExpr::Column(Column::new(
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@@ -1743,11 +1791,16 @@ impl PromPlanner {
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right_time_index_column,
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))
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.alias(left_time_index_column.clone());
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// `skip（1)` to skip the time index column
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let right_proj_exprs_without_time_index = all_columns.iter().skip(1).map(|col| {
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if tags_not_in_right.contains(col) {
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// expr
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if col == left_field_col && left_field_col != right_field_col {
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// alias field in right side if necessary to handle different field name
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DfExpr::Column(Column::new(right_qualifier.clone(), right_field_col))
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} else if tags_not_in_right.contains(col) {
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DfExpr::Literal(ScalarValue::Utf8(None)).alias(col.to_string())
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} else {
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DfExpr::Column(Column::new(right_qualifier.clone(), col))
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DfExpr::Column(Column::new(None::<String>, col))
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}
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});
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let right_proj_exprs = [right_time_index_expr]
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@@ -25,7 +25,7 @@ insert into http_requests values
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Affected Rows: 8
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-- empty metric
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create table cpu_count(ts timestamp time index);
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create table cpu_count(ts timestamp time index, greptime_value double);
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Affected Rows: 0
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@@ -38,10 +38,9 @@ create table vector_matching_a(
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Affected Rows: 0
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insert into vector_matching_a values
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(3000000, "x", 10),
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(3000000, "y", 20);
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(3000000, "x", 10);
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Affected Rows: 2
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Affected Rows: 1
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-- eval instant at 50m http_requests{group="canary"} and http_requests{instance="0"}
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-- http_requests{group="canary", instance="0", job="api-server"} 300
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@@ -157,7 +156,16 @@ tql eval (3000, 3000, '1s') http_requests{g="canary"} or http_requests{g="produc
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or http_requests{instance="1"};
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Error: 1004(InvalidArguments), Internal error during building DataFusion plan: No field named http_requests.greptime_value. Valid fields are http_requests.job, http_requests.instance, http_requests.g, http_requests.ts, "greptime_value + Float64(1)".
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+---------------------+------------+-----------------------------+----------+-----+
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| ts | g | greptime_value + Float64(1) | instance | job |
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+---------------------+------------+-----------------------------+----------+-----+
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| 1970-01-01T00:50:00 | canary | 301.0 | 0 | api |
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| 1970-01-01T00:50:00 | canary | 401.0 | 1 | api |
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| 1970-01-01T00:50:00 | canary | 701.0 | 0 | app |
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| 1970-01-01T00:50:00 | canary | 801.0 | 1 | app |
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| 1970-01-01T00:50:00 | production | 200.0 | 1 | api |
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| 1970-01-01T00:50:00 | production | 600.0 | 1 | app |
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+---------------------+------------+-----------------------------+----------+-----+
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-- # Matching only on instance excludes everything that has instance=0/1 but includes
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-- # entries without the instance label.
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@@ -168,11 +176,18 @@ Error: 1004(InvalidArguments), Internal error during building DataFusion plan: N
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-- {group="canary", instance="1", job="app-server"} 801
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-- vector_matching_a{l="x"} 10
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-- vector_matching_a{l="y"} 20
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-- NOT SUPPORTED: union on different schemas
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-- NOT SUPPORTED: `or`
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a);
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Error: 1004(InvalidArguments), Internal error during building DataFusion plan: No field named cpu_count.greptime_value. Valid fields are cpu_count.ts.
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+---------------------+--------+-----------------------------+----------+-----+---+
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| ts | g | greptime_value + Float64(1) | instance | job | l |
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+---------------------+--------+-----------------------------+----------+-----+---+
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| 1970-01-01T00:50:00 | | 10.0 | | | x |
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| 1970-01-01T00:50:00 | canary | 301.0 | 0 | api | |
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| 1970-01-01T00:50:00 | canary | 401.0 | 1 | api | |
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| 1970-01-01T00:50:00 | canary | 701.0 | 0 | app | |
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| 1970-01-01T00:50:00 | canary | 801.0 | 1 | app | |
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+---------------------+--------+-----------------------------+----------+-----+---+
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-- eval instant at 50m (http_requests{group="canary"} + 1) or ignoring(l, group, job) (http_requests or cpu_count or vector_matching_a)
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-- {group="canary", instance="0", job="api-server"} 301
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@@ -181,11 +196,18 @@ Error: 1004(InvalidArguments), Internal error during building DataFusion plan: N
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-- {group="canary", instance="1", job="app-server"} 801
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-- vector_matching_a{l="x"} 10
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-- vector_matching_a{l="y"} 20
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-- NOT SUPPORTED: union on different schemas
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-- NOT SUPPORTED: `or`
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or ignoring(l, g, job) (http_requests or cpu_count or vector_matching_a);
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Error: 1004(InvalidArguments), Internal error during building DataFusion plan: No field named cpu_count.greptime_value. Valid fields are cpu_count.ts.
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+---------------------+--------+-----------------------------+----------+-----+---+
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| ts | g | greptime_value + Float64(1) | instance | job | l |
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+---------------------+--------+-----------------------------+----------+-----+---+
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| 1970-01-01T00:50:00 | | 10.0 | | | x |
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| 1970-01-01T00:50:00 | canary | 301.0 | 0 | api | |
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| 1970-01-01T00:50:00 | canary | 401.0 | 1 | api | |
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| 1970-01-01T00:50:00 | canary | 701.0 | 0 | app | |
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| 1970-01-01T00:50:00 | canary | 801.0 | 1 | app | |
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+---------------------+--------+-----------------------------+----------+-----+---+
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-- eval instant at 50m http_requests{group="canary"} unless http_requests{instance="0"}
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-- http_requests{group="canary", instance="1", job="api-server"} 400
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@@ -248,10 +270,21 @@ tql eval (3000, 3000, '1s') http_requests{g="canary"} unless ignoring(g) http_re
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-- http_requests{group="production", instance="0", job="app-server"} 500
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-- http_requests{group="production", instance="1", job="api-server"} 200
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-- http_requests{group="production", instance="1", job="app-server"} 600
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-- NOT SUPPORTED: `vector()`
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-- SQLNESS SORT_RESULT 3 1
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tql eval (3000, 3000, '1s') http_requests AND ON (dummy) vector(1);
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Error: 1004(InvalidArguments), Internal error during building DataFusion plan: No field named time. Valid fields are http_requests.ts, http_requests.job, http_requests.instance, http_requests.g, http_requests.greptime_value.
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+---------------------+-----+----------+------------+----------------+
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| ts | job | instance | g | greptime_value |
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+---------------------+-----+----------+------------+----------------+
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| 1970-01-01T00:50:00 | api | 0 | canary | 300.0 |
|
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| 1970-01-01T00:50:00 | api | 0 | production | 100.0 |
|
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| 1970-01-01T00:50:00 | api | 1 | canary | 400.0 |
|
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| 1970-01-01T00:50:00 | api | 1 | production | 200.0 |
|
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| 1970-01-01T00:50:00 | app | 0 | canary | 700.0 |
|
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| 1970-01-01T00:50:00 | app | 0 | production | 500.0 |
|
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| 1970-01-01T00:50:00 | app | 1 | canary | 800.0 |
|
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| 1970-01-01T00:50:00 | app | 1 | production | 600.0 |
|
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+---------------------+-----+----------+------------+----------------+
|
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-- eval instant at 50m http_requests AND IGNORING (group, instance, job) vector(1)
|
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-- http_requests{group="canary", instance="0", job="api-server"} 300
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@@ -262,10 +295,21 @@ Error: 1004(InvalidArguments), Internal error during building DataFusion plan: N
|
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-- http_requests{group="production", instance="0", job="app-server"} 500
|
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-- http_requests{group="production", instance="1", job="api-server"} 200
|
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-- http_requests{group="production", instance="1", job="app-server"} 600
|
||||
-- NOT SUPPORTED: `vector()`
|
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-- SQLNESS SORT_RESULT 3 1
|
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tql eval (3000, 3000, '1s') http_requests AND IGNORING (g, instance, job) vector(1);
|
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|
||||
Error: 1004(InvalidArguments), Internal error during building DataFusion plan: No field named time. Valid fields are http_requests.ts, http_requests.job, http_requests.instance, http_requests.g, http_requests.greptime_value.
|
||||
+---------------------+-----+----------+------------+----------------+
|
||||
| ts | job | instance | g | greptime_value |
|
||||
+---------------------+-----+----------+------------+----------------+
|
||||
| 1970-01-01T00:50:00 | api | 0 | canary | 300.0 |
|
||||
| 1970-01-01T00:50:00 | api | 0 | production | 100.0 |
|
||||
| 1970-01-01T00:50:00 | api | 1 | canary | 400.0 |
|
||||
| 1970-01-01T00:50:00 | api | 1 | production | 200.0 |
|
||||
| 1970-01-01T00:50:00 | app | 0 | canary | 700.0 |
|
||||
| 1970-01-01T00:50:00 | app | 0 | production | 500.0 |
|
||||
| 1970-01-01T00:50:00 | app | 1 | canary | 800.0 |
|
||||
| 1970-01-01T00:50:00 | app | 1 | production | 600.0 |
|
||||
+---------------------+-----+----------+------------+----------------+
|
||||
|
||||
drop table http_requests;
|
||||
|
||||
|
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@@ -22,7 +22,7 @@ insert into http_requests values
|
||||
(3000000, "app", "1", "canary", 800);
|
||||
|
||||
-- empty metric
|
||||
create table cpu_count(ts timestamp time index);
|
||||
create table cpu_count(ts timestamp time index, greptime_value double);
|
||||
|
||||
create table vector_matching_a(
|
||||
ts timestamp time index,
|
||||
@@ -31,8 +31,7 @@ create table vector_matching_a(
|
||||
);
|
||||
|
||||
insert into vector_matching_a values
|
||||
(3000000, "x", 10),
|
||||
(3000000, "y", 20);
|
||||
(3000000, "x", 10);
|
||||
|
||||
-- eval instant at 50m http_requests{group="canary"} and http_requests{instance="0"}
|
||||
-- http_requests{group="canary", instance="0", job="api-server"} 300
|
||||
@@ -103,8 +102,7 @@ tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or http_requests{ins
|
||||
-- {group="canary", instance="1", job="app-server"} 801
|
||||
-- vector_matching_a{l="x"} 10
|
||||
-- vector_matching_a{l="y"} 20
|
||||
-- NOT SUPPORTED: union on different schemas
|
||||
-- NOT SUPPORTED: `or`
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or on(instance) (http_requests or cpu_count or vector_matching_a);
|
||||
|
||||
-- eval instant at 50m (http_requests{group="canary"} + 1) or ignoring(l, group, job) (http_requests or cpu_count or vector_matching_a)
|
||||
@@ -114,8 +112,7 @@ tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or on(instance) (htt
|
||||
-- {group="canary", instance="1", job="app-server"} 801
|
||||
-- vector_matching_a{l="x"} 10
|
||||
-- vector_matching_a{l="y"} 20
|
||||
-- NOT SUPPORTED: union on different schemas
|
||||
-- NOT SUPPORTED: `or`
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
tql eval (3000, 3000, '1s') (http_requests{g="canary"} + 1) or ignoring(l, g, job) (http_requests or cpu_count or vector_matching_a);
|
||||
|
||||
-- eval instant at 50m http_requests{group="canary"} unless http_requests{instance="0"}
|
||||
@@ -153,7 +150,7 @@ tql eval (3000, 3000, '1s') http_requests{g="canary"} unless ignoring(g) http_re
|
||||
-- http_requests{group="production", instance="0", job="app-server"} 500
|
||||
-- http_requests{group="production", instance="1", job="api-server"} 200
|
||||
-- http_requests{group="production", instance="1", job="app-server"} 600
|
||||
-- NOT SUPPORTED: `vector()`
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
tql eval (3000, 3000, '1s') http_requests AND ON (dummy) vector(1);
|
||||
|
||||
-- eval instant at 50m http_requests AND IGNORING (group, instance, job) vector(1)
|
||||
@@ -165,7 +162,7 @@ tql eval (3000, 3000, '1s') http_requests AND ON (dummy) vector(1);
|
||||
-- http_requests{group="production", instance="0", job="app-server"} 500
|
||||
-- http_requests{group="production", instance="1", job="api-server"} 200
|
||||
-- http_requests{group="production", instance="1", job="app-server"} 600
|
||||
-- NOT SUPPORTED: `vector()`
|
||||
-- SQLNESS SORT_RESULT 3 1
|
||||
tql eval (3000, 3000, '1s') http_requests AND IGNORING (g, instance, job) vector(1);
|
||||
|
||||
drop table http_requests;
|
||||
|
||||
Reference in New Issue
Block a user