feat(parsers.avro): Allow union fields to be specified as tags (#16272)
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@ -180,6 +180,41 @@ func (p *Parser) flattenField(fldName string, fldVal map[string]interface{}) map
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return ret
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}
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func (p *Parser) flattenItem(fld string, fldVal interface{}) (map[string]interface{}, error) {
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sep := flatten.SeparatorStyle{
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Before: "",
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Middle: p.FieldSeparator,
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After: "",
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}
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candidate := make(map[string]interface{})
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candidate[fld] = fldVal
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var flat map[string]interface{}
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var err error
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// Exactly how we flatten is decided by p.UnionMode
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if p.UnionMode == "flatten" {
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flat, err = flatten.Flatten(candidate, "", sep)
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if err != nil {
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return nil, fmt.Errorf("flatten candidate %q failed: %w", candidate, err)
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}
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} else {
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// "nullable" or "any"
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typedVal, ok := candidate[fld].(map[string]interface{})
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if !ok {
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// the "key" is not a string, so ...
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// most likely an array? Do the default thing
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// and flatten the candidate.
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flat, err = flatten.Flatten(candidate, "", sep)
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if err != nil {
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return nil, fmt.Errorf("flatten candidate %q failed: %w", candidate, err)
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}
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} else {
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flat = p.flattenField(fld, typedVal)
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}
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}
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return flat, nil
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}
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func (p *Parser) createMetric(data map[string]interface{}, schema string) (telegraf.Metric, error) {
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// Tags differ from fields, in that tags are inherently strings.
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// fields can be of any type.
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@ -193,12 +228,18 @@ func (p *Parser) createMetric(data map[string]interface{}, schema string) (teleg
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// Avro doesn't have a Tag/Field distinction, so we have to tell
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// Telegraf which items are our tags.
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for _, tag := range p.Tags {
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sTag, err := internal.ToString(data[tag])
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if err != nil {
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p.Log.Warnf("Could not convert %v to string for tag %q: %v", data[tag], tag, err)
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continue
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flat, flattenErr := p.flattenItem(tag, data[tag])
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if flattenErr != nil {
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return nil, fmt.Errorf("flatten tag %q failed: %w", tag, flattenErr)
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}
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for k, v := range flat {
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sTag, stringErr := internal.ToString(v)
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if stringErr != nil {
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p.Log.Warnf("Could not convert %v to string for tag %q: %v", data[tag], tag, stringErr)
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continue
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}
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tags[k] = sTag
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}
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tags[tag] = sTag
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}
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var fieldList []string
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if len(p.Fields) != 0 {
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@ -215,37 +256,8 @@ func (p *Parser) createMetric(data map[string]interface{}, schema string) (teleg
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}
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// We need to flatten out our fields. The default (the separator
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// string is empty) is equivalent to what streamreactor does.
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sep := flatten.SeparatorStyle{
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Before: "",
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Middle: p.FieldSeparator,
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After: "",
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}
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for _, fld := range fieldList {
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candidate := make(map[string]interface{})
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candidate[fld] = data[fld] // 1-item map
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var flat map[string]interface{}
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var err error
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// Exactly how we flatten is decided by p.UnionMode
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if p.UnionMode == "flatten" {
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flat, err = flatten.Flatten(candidate, "", sep)
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if err != nil {
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return nil, fmt.Errorf("flatten candidate %q failed: %w", candidate, err)
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}
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} else {
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// "nullable" or "any"
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typedVal, ok := candidate[fld].(map[string]interface{})
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if !ok {
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// the "key" is not a string, so ...
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// most likely an array? Do the default thing
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// and flatten the candidate.
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flat, err = flatten.Flatten(candidate, "", sep)
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if err != nil {
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return nil, fmt.Errorf("flatten candidate %q failed: %w", candidate, err)
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}
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} else {
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flat = p.flattenField(fld, typedVal)
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}
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}
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flat, err := p.flattenItem(fld, data[fld])
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if err != nil {
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return nil, fmt.Errorf("flatten field %q failed: %w", fld, err)
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}
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@ -0,0 +1 @@
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Switch,switch_wwn=10:00:50:EB:1A:0B:84:3A,some_union_in_a_tag=some_value statistics_collection_time=1682509200092i,up_time=1166984904i,memory_utilization=20.0 1682509200092000
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@ -0,0 +1,14 @@
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{
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"some_union_in_a_tag": {
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"string": "some_value"
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},
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"switch_wwn": "10:00:50:EB:1A:0B:84:3A",
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"statistics_collection_time": 1682509200092,
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"up_time": 1166984904,
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"cpu_utilization": {
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"null": null
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},
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"memory_utilization": {
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"float": 20.0
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}
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}
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@ -0,0 +1,27 @@
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[[ inputs.file ]]
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files = ["./testcases/union-nullable-tag/message.json"]
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data_format = "avro"
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avro_format = "json"
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avro_measurement = "Switch"
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avro_tags = ["switch_wwn", "some_union_in_a_tag"]
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avro_fields = ["up_time", "cpu_utilization", "memory_utilization", "statistics_collection_time"]
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avro_timestamp = "statistics_collection_time"
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avro_timestamp_format = "unix_ms"
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avro_union_mode = "nullable"
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avro_schema = '''
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{
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"namespace": "com.brocade.streaming",
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"name": "fibrechannel_switch_statistics",
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"type": "record",
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"version": "1",
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"fields": [
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{"name": "some_union_in_a_tag", "type": ["null", "string"], "default": null, "doc": "Some union that is used in a tag"},
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{"name": "switch_wwn", "type": "string", "doc": "WWN of the Physical Switch."},
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{"name": "statistics_collection_time", "type": "long", "doc": "Epoch time when statistics is collected."},
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{"name": "up_time", "type": "long", "doc": "Switch Up Time (in hundredths of a second)"},
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{"name": "cpu_utilization", "type": ["null","float"], "default": null, "doc": "CPU Utilization in %"},
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{"name": "memory_utilization", "type": ["null", "float"], "default": null, "doc": "Memory Utilization in %"}
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]
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}
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'''
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