featurebase/idk/kafka/cmd_test.go
Travis Turner aa17b8d725
Enable linter: stylecheck (#2317)
* Enable linter: stylecheck

This enabled the stylecheck linter, but excludes some staticchecks for
now. The following are ignored because they will take a bit of time to
address, but the intention is to address them and remove them from the
exclusion list.

ST1000: at least one file in a package should have a package comment
ST1003: golang naming standards
ST1008: error should be returned as the last argument
ST1016: methods on the same type should have the same receiver name
ST1020: comment on exported function

* Address ST1015

For some reason this failed in CI but not locally. I can't figure out
why that check isn't happening locally. This just moves the switch
statements around so that the `default` is the first (or last) item.

* Adjust error string in test to match case-adjusted error

* Remove TestCloseTimeout
2023-03-14 08:45:18 -05:00

1436 lines
54 KiB
Go

//go:build !kafka_sasl
// +build !kafka_sasl
package kafka
import (
"bufio"
"encoding/json"
"fmt"
"io"
"math/rand"
"net/http"
"os"
"reflect"
"sort"
"strconv"
"strings"
"testing"
"time"
confluent "github.com/confluentinc/confluent-kafka-go/kafka"
pilosaclient "github.com/featurebasedb/featurebase/v3/client"
"github.com/featurebasedb/featurebase/v3/idk"
"github.com/featurebasedb/featurebase/v3/idk/kafka/csrc"
"github.com/featurebasedb/featurebase/v3/logger"
liavro "github.com/linkedin/goavro/v2"
)
var (
pilosaHost string
pilosaTLSHost string
pilosaGrpcHost string
kafkaHost string
registryHost string
certPath string
)
func init() {
local := false
var ok bool
if pilosaHost, ok = os.LookupEnv("IDK_TEST_PILOSA_HOST"); !ok {
if local {
pilosaHost = "localhost:10101"
} else {
pilosaHost = "pilosa:10101"
}
}
if pilosaTLSHost, ok = os.LookupEnv("IDK_TEST_PILOSA_TLS_HOST"); !ok {
pilosaTLSHost = "https://pilosa-tls:10111"
}
if pilosaGrpcHost, ok = os.LookupEnv("IDK_TEST_PILOSA_GRPC_HOST"); !ok {
if local {
pilosaGrpcHost = "localhost:20101"
} else {
pilosaGrpcHost = "pilosa:20101"
}
}
if kafkaHost, ok = os.LookupEnv("IDK_TEST_KAFKA_HOST"); !ok {
if local {
kafkaHost = "localhost:9092"
} else {
kafkaHost = "kafka:9092"
}
}
if registryHost, ok = os.LookupEnv("IDK_TEST_REGISTRY_HOST"); !ok {
if local {
registryHost = "localhost:8081"
} else {
registryHost = "schema-registry:8081"
}
}
if certPath, ok = os.LookupEnv("IDK_TEST_CERT_PATH"); !ok {
certPath = "/certs"
}
}
func configureTestFlags(main *Main) {
main.PilosaHosts = []string{pilosaHost}
main.PilosaGRPCHosts = []string{pilosaGrpcHost}
main.KafkaBootstrapServers = []string{kafkaHost}
main.SchemaRegistryURL = registryHost
main.Verbose = true
// intentionally low timeout — if this gets triggered it shouldn't
// have any negative effects
main.Timeout = time.Millisecond * 20
main.Stats = ""
_, main.Verbose = os.LookupEnv("IDK_TEST_VERBOSE")
}
func TestCmdAutoID(t *testing.T) {
t.Parallel()
if testing.Short() {
t.Skip()
}
rand.Seed(time.Now().UnixNano())
topic := strconv.Itoa(rand.Int())
fields := []string{"val"}
records := [][]interface{}{
{2},
{3},
{4},
{6},
}
m, err := NewMain()
if err != nil {
t.Fatalf("creating main %v", err)
}
configureTestFlags(m)
m.Index = fmt.Sprintf("cmd_test_autoid239ij%s", topic)
m.BatchSize = 2 // need to test at a batch size less than the # of records, greater than, and equal to
m.Topics = []string{topic}
m.MaxMsgs = uint64(len(records))
m.AutoGenerate = true
m.ExternalGenerate = true
// load schema
licodec := liDecodeTestSchema(t, "ids.json")
schemaID := postSchema(t, "ids.json", "ids", m.SchemaRegistryURL, nil)
p, err := confluent.NewProducer(&confluent.ConfigMap{
"bootstrap.servers": kafkaHost,
})
if err != nil {
t.Fatalf("Failed to create producer: %s", err)
}
defer p.Close()
// put records in kafka
tCreateTopic(t, topic, p)
msgs := make([]map[string]interface{}, len(records))
for i, vals := range records {
msgs[i] = makeRecord(t, fields, vals)
}
tPutRecordsKafka(t, p, topic, schemaID, licodec, "a", msgs...)
err = m.Run()
if err != nil {
t.Fatalf("running main: %v", err)
}
client := m.PilosaClient()
schema, err := client.Schema()
if err != nil {
t.Fatalf("getting client: %v", err)
}
index := schema.Index(m.Index)
defer func() {
err := client.DeleteIndex(index)
if err != nil {
t.Logf("deleting index: %v", err)
}
}()
qr, err := client.Query(index.Count(index.All()))
if err != nil {
t.Errorf("querying: %v", err)
}
if qr.Result().Count() != 4 {
t.Errorf("wrong count for columns, %d is not 4", qr.Result().Count())
}
qr, err = client.Query(pilosaclient.NewPQLBaseQuery(`Count(Distinct(All(), field="val"))`, index, nil))
if err != nil {
t.Errorf("querying: %v", err)
}
if qr.Result().Count() != 4 {
t.Errorf("wrong count for val, %d is not 4", qr.Result().Count())
}
}
func TestConfigOptions(t *testing.T) {
m, err := NewMain()
if err != nil {
t.Fatalf("getting main: %v", err)
}
debug := "consumer"
clientID := "blah"
autoOffsetReset := true
groupInstanceID := "instId"
maxPollIntervalMs := 30000
sessionTimeoutMs := 20000
socketKeepaliveEnable := "true"
m.KafkaDebug = debug
m.KafkaClientId = clientID
m.SkipOld = autoOffsetReset
m.KafkaGroupInstanceId = groupInstanceID
m.KafkaMaxPollInterval = maxPollIntervalMs
m.KafkaSessionTimeout = sessionTimeoutMs
m.KafkaSocketKeepaliveEnable = socketKeepaliveEnable
//kafka config name, expected value
tests := [][2]interface{}{
{"debug", debug},
{"client.id", clientID},
{"auto.offset.reset", "latest"},
{"group.instance.id", groupInstanceID},
{"max.poll.interval.ms", maxPollIntervalMs},
{"session.timeout.ms", sessionTimeoutMs},
{"socket.keepalive.enable", socketKeepaliveEnable},
}
// call NewSource to get and open source which calls some setup
// stuff that we want. We don't expect it to open successfully
// though.
src, err := m.NewSource()
if err != nil {
t.Fatalf("error calling new source: %v", err)
}
defer src.Close()
cfg := src.(*Source).ConfigMap
for _, pair := range tests {
if val, err := cfg.Get(pair[0].(string), nil); err != nil || fmt.Sprintf("%v", val) != fmt.Sprintf("%v", pair[1]) {
t.Fatalf("unexpected val for %s val: %v, err: %v", pair[0].(string), val, err)
}
}
}
func TestCmdMainOne(t *testing.T) {
t.Parallel()
if testing.Short() {
t.Skip()
}
tests := []struct {
name string
PrimaryKeyFields []string
IDField string
PilosaHosts []string
RegistryURL string
TLS *idk.TLSConfig
expRhinoKeys []string
expRhinoCols []uint64
}{
{
name: "3 primary keys str/str/int",
PrimaryKeyFields: []string{"abc", "db", "user_id"},
expRhinoKeys: []string{"2|1|159", "4|3|44", "123456789|q2db_1234|432"}, // "2" + "1" + uint32(159)
},
{
name: "3 primary keys str/str/int TLS",
PrimaryKeyFields: []string{"abc", "db", "user_id"},
PilosaHosts: []string{pilosaTLSHost},
TLS: &idk.TLSConfig{
CertificatePath: certPath + "/theclient.crt",
CertificateKeyPath: certPath + "/theclient.key",
CACertPath: certPath + "/ca.crt",
EnableClientVerification: true,
},
expRhinoKeys: []string{"2|1|159", "4|3|44", "123456789|q2db_1234|432"}, // "2" + "1" + uint32(159)
},
{
name: "IDField int",
IDField: "user_id",
expRhinoCols: []uint64{44, 159, 432},
},
}
rand := rand.New(rand.NewSource(time.Now().UnixNano()))
for _, test := range tests {
test := test
a := rand.Int()
t.Run(test.name, func(t *testing.T) {
t.Parallel()
fields := []string{"abc", "db", "user_id", "all_users", "has_deleted_date", "central_group", "custom_audiences", "desktop_boolean", "desktop_frequency", "desktop_recency", "product_boolean_historical_forestry_cravings_or_bugles", "ddd_category_total_current_rhinocerous_checking", "ddd_category_total_current_rhinocerous_thedog_cheetah", "survey1234", "days_since_last_logon", "elephant_added_for_account"}
records := [][]interface{}{
{"2", "1", 159, map[string]interface{}{"boolean": true}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"4", "3", 44, map[string]interface{}{"boolean": true}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"123456789", "q2db_1234", 432, map[string]interface{}{"boolean": false}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.9}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"123456789", "q2db_1234", 432, map[string]interface{}{"boolean": false}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"2", "1", 159, map[string]interface{}{"boolean": false}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"4", "3", 44, map[string]interface{}{"boolean": false}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"4", "3", 44, map[string]interface{}{"boolean": true}, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil},
{"4", "3", 44, nil, map[string]interface{}{"boolean": false}, map[string]interface{}{"string": "cgr"}, map[string]interface{}{"array": []string{"a", "b"}}, nil, map[string]interface{}{"int": 7}, nil, nil, map[string]interface{}{"float": 5.4}, nil, map[string]interface{}{"org.test.survey1234": "yes"}, map[string]interface{}{"float": 8.0}, nil}, // send all_users nil - regression test to make sure it isn't cleared by the nil
}
topic := strconv.Itoa(a)
// create Main and run with MaxMsgs
m, err := NewMain()
if err != nil {
t.Fatalf("creating main %v", err)
}
configureTestFlags(m)
m.Index = fmt.Sprintf("cmd_test_index239ij%s", topic)
m.PrimaryKeyFields = test.PrimaryKeyFields
m.IDField = test.IDField
m.PackBools = "bools"
m.BatchSize = 3 // need to test at a batch size less than the # of records, greater than, and equal to
m.Topics = []string{topic}
m.MaxMsgs = uint64(len(records))
if test.PilosaHosts != nil {
m.PilosaHosts = test.PilosaHosts
}
if test.TLS != nil {
m.TLS = *test.TLS
}
if test.RegistryURL != "" {
m.SchemaRegistryURL = test.RegistryURL
}
// load big schema
licodec := liDecodeTestSchema(t, "bigschema.json")
tlsConf, err := idk.GetTLSConfig(test.TLS, logger.NopLogger)
if err != nil {
t.Fatalf("getting tls config: %v", err)
}
schemaID := postSchema(t, "bigschema.json", "bigschema2", m.SchemaRegistryURL, tlsConf)
p, err := confluent.NewProducer(&confluent.ConfigMap{
"bootstrap.servers": kafkaHost,
})
if err != nil {
t.Fatalf("Failed to create producer: %s", err)
}
defer p.Close()
// put records in kafka
tCreateTopic(t, topic, p)
msgs := make([]map[string]interface{}, len(records))
for i, vals := range records {
msgs[i] = makeRecord(t, fields, vals)
}
tPutRecordsKafka(t, p, topic, schemaID, licodec, "akey", msgs...)
err = m.Run()
if err != nil {
t.Fatalf("running main: %v", err)
}
client := m.PilosaClient()
schema, err := client.Schema()
if err != nil {
t.Fatalf("getting client: %v", err)
}
index := schema.Index(m.Index)
defer func() {
err := client.DeleteIndex(index)
if err != nil {
t.Logf("deleting index: %v", err)
}
}()
if status, body, err := client.HTTPRequest("POST", "/recalculate-caches", nil, nil); err != nil {
t.Fatalf("recalculating cache: status: %d, response: %s, error: %s", status, body, err)
}
// check data in Pilosa
if !index.HasField("abc") {
t.Fatal("don't have abc")
}
abc := index.Field("abc")
qr, err := client.Query(index.Count(abc.Row("2")))
if err != nil {
t.Errorf("querying: %v", err)
}
if qr.Result().Count() != 1 {
t.Errorf("wrong count for abc, %d is not 1", qr.Result().Count())
}
bools := index.Field("bools")
qr, err = client.Query(bools.TopN(10))
if err != nil {
t.Fatalf("querying: %v", err)
}
ci := sortableCRI(qr.Result().CountItems())
exp := sortableCRI{{Count: 1, Key: "all_users"}}
sort.Sort(ci)
sort.Sort(exp)
if !reflect.DeepEqual(ci, exp) {
qr, err = client.Query(bools.Row("all_users"))
if err != nil {
t.Fatalf("querying: %v", err)
}
t.Errorf("unexpected result exp/got\n%+v\n%+v\nall_users:%+v", exp, ci, qr.Result().Row().Keys)
}
qr, err = client.Query(bools.Row("all_users"))
if err != nil {
t.Fatalf("querying: %v", err)
}
if test.IDField == "" {
if keys := qr.Result().Row().Keys; !reflect.DeepEqual(keys, []string{"4|3|44"}) {
t.Errorf("unexpected keys %v", keys)
}
} else if cols := qr.Result().Row().Columns; !reflect.DeepEqual(cols, []uint64{44}) {
t.Errorf("unexpected cols %v", cols)
}
bools = index.Field("bools-exists")
qr, err = client.Query(bools.TopN(10))
if err != nil {
t.Fatalf("querying: %v", err)
}
ci = sortableCRI(qr.Result().CountItems())
exp = sortableCRI{{Count: 3, Key: "all_users"}, {Count: 3, Key: "has_deleted_date"}}
sort.Sort(ci)
sort.Sort(exp)
if !reflect.DeepEqual(ci, exp) {
t.Errorf("unexpected result exp/got\n%+v\n%+v", exp, ci)
}
rhino := index.Field("ddd_category_total_current_rhinocerous_checking")
qr, err = client.Query(rhino.Between(5, 6))
if err != nil {
t.Fatalf("querying: %v", err)
}
keys := qr.Result().Row().Keys
sort.Strings(keys)
sort.Strings(test.expRhinoKeys)
if test.expRhinoKeys != nil {
if !reflect.DeepEqual(keys, test.expRhinoKeys) {
t.Errorf("wrong keys: %v, exp: %v", keys, test.expRhinoKeys)
}
}
if test.expRhinoCols != nil {
bod := tDoHTTPPost(t, fmt.Sprintf("http://"+pilosaHost+"/index/%s/query", m.Index), "application/pql", "Row(ddd_category_total_current_rhinocerous_checking==5.4)")
if !strings.Contains(bod, "44,159,432") {
t.Errorf("unexpected result with float query: '%s'", bod)
}
if cols := qr.Result().Row().Columns; !reflect.DeepEqual(cols, test.expRhinoCols) {
t.Errorf("wrong cols: %v, exp: %v", cols, test.expRhinoCols)
}
}
if !index.HasField("survey1234") {
t.Fatalf("don't have survey1234")
}
survey1234 := index.Field("survey1234")
if typ := survey1234.Opts().Type(); typ != pilosaclient.FieldTypeMutex {
t.Errorf("survey1234 of unexpected type: %v", typ)
}
})
}
}
func TestCmdSourceTimeout(t *testing.T) {
// t.Parallel()
rand.Seed(time.Now().UnixNano())
topic := strconv.Itoa(rand.Int())
// create Main and run with MaxMsgs
m, err := NewMain()
if err != nil {
t.Fatalf("creating main %v", err)
}
configureTestFlags(m)
m.Index = fmt.Sprintf("cmd_test_schemachange239ij%s", topic)
m.IDField = "id"
m.PackBools = "bools"
m.BatchSize = 5
m.Topics = []string{topic}
m.Timeout = time.Millisecond * 20
m.MaxMsgs = uint64(3)
schemaStr1 := `{"type": "record","namespace": "cmdSrcTimeout","name": "basic","fields": [{"name":"id","type":"long"},{"name":"a","type": "string"}]}`
licodec1, err := liavro.NewCodec(schemaStr1)
if err != nil {
t.Fatalf("li parsing schema: %v", err)
}
schemaClient := csrc.NewClient(m.SchemaRegistryURL, nil, nil)
resp, err := schemaClient.PostSubjects("cmdSourceTimeout", schemaStr1)
if err != nil {
t.Fatalf("posting schema: %v", err)
}
schemaID1 := resp.ID
p, err := confluent.NewProducer(&confluent.ConfigMap{
"bootstrap.servers": kafkaHost,
})
if err != nil {
t.Fatalf("Failed to create producer: %s", err)
}
defer p.Close()
rec := makeRecord(t, []string{"id", "a"}, []interface{}{1, "v"})
tPutRecordsKafka(t, p, topic, schemaID1, licodec1, "akey", rec)
rec = makeRecord(t, []string{"id", "a"}, []interface{}{2, "v"})
tPutRecordsKafka(t, p, topic, schemaID1, licodec1, "akey", rec)
// create client manually and then create schema. We have to do
// this ahead of time because we're calling m.Run concurrently.
client, err := pilosaclient.NewClient(m.PilosaHosts)
if err != nil {
t.Fatalf("creating new client: %v", err)
}
schema, err := client.Schema()
if err != nil {
t.Fatalf("getting client: %v", err)
}
index := schema.Index(m.Index)
af := index.Field("a", pilosaclient.OptFieldKeys(true))
if err := client.SyncIndex(index); err != nil {
t.Fatalf("syncing index: %v", err)
}
defer func() {
if err := client.DeleteIndexByName(m.Index); err != nil {
t.Fatalf("deleting index: %s", m.Index)
}
}()
// Run ingest in a goroutine so we can see the effect of the
// timeout flush.
signal := make(chan struct{})
go func() {
err = m.Run()
if err != nil {
t.Logf("running main: %v", err)
}
close(signal)
}()
// query Pilosa repeatedly until we see the two records reflected there.
for {
qr, err := client.Query(index.Count(af.Row("v")))
if err != nil {
t.Fatalf("querying: %v", err)
}
if cnt := qr.Result().Count(); cnt == 2 {
break
} else if cnt == 0 {
time.Sleep(time.Millisecond * 50)
continue
} else {
t.Fatalf("unexpected count: %v", cnt)
}
}
// put another message to make m.Run finish (MaxMsgs = 3)
tPutRecordsKafka(t, p, topic, schemaID1, licodec1, "akey", rec)
// make sure the Run goroutine actually finished
<-signal
}
func TestCmdSchemaChange(t *testing.T) {
t.Parallel()
rand.Seed(time.Now().UnixNano())
topic := strconv.Itoa(rand.Int())
// create Main and run with MaxMsgs
m, err := NewMain()
if err != nil {
t.Fatalf("creating main %v", err)
}
configureTestFlags(m)
m.Index = fmt.Sprintf("cmd_test_schemachange239ij%s", topic)
m.IDField = "id"
m.PackBools = "bools"
m.BatchSize = 1
m.Topics = []string{topic}
m.MaxMsgs = uint64(3)
// load two schemas
schemaStr1 := `{"type": "record","namespace": "c.e","name": "F","fields": [{"name":"id","type":"long"},{"name":"a","type": "boolean"},{"name": "c", "type": "int"}]}`
licodec1, err := liavro.NewCodec(schemaStr1)
if err != nil {
t.Fatalf("li parsing schema: %v", err)
}
schemaStr2 := `{"type": "record","namespace": "c.e","name": "F","fields": [{"name":"id","type":"long"},{"name":"a","type": "boolean"},{"name":"b","type":"long"},{"name": "c", "type": "int"}]}`
licodec2, err := liavro.NewCodec(schemaStr2)
if err != nil {
t.Fatalf("li parsing schema: %v", err)
}
// have to change schema name to change field from int to long
schemaStr3 := `{"type": "record","namespace": "c.e","name": "F2","fields": [{"name":"id","type":"long"},{"name":"a","type": "boolean"},{"name":"b","type":"long"},{"name": "c", "type": "long"}]}`
licodec3, err := liavro.NewCodec(schemaStr3)
if err != nil {
t.Fatalf("li parsing schema: %v", err)
}
schemaClient := csrc.NewClient(m.SchemaRegistryURL, nil, nil)
resp, err := schemaClient.PostSubjects("subj", schemaStr1)
if err != nil {
t.Fatalf("posting schema: %v", err)
}
schemaID1 := resp.ID
resp, err = schemaClient.PostSubjects("subj2", schemaStr2)
if err != nil {
t.Fatalf("posting schema: %v", err)
}
schemaID2 := resp.ID
resp, err = schemaClient.PostSubjects("subj3", schemaStr3)
if err != nil {
t.Fatalf("posting schema: %v", err)
}
schemaID3 := resp.ID
p, err := confluent.NewProducer(&confluent.ConfigMap{
"bootstrap.servers": kafkaHost,
})
if err != nil {
t.Fatalf("Failed to create producer: %s", err)
}
defer p.Close()
tCreateTopic(t, topic, p)
rec := makeRecord(t, []string{"id", "a", "c"}, []interface{}{1, true, 7})
tPutRecordsKafka(t, p, topic, schemaID1, licodec1, "akey", rec)
rec = makeRecord(t, []string{"id", "a", "b", "c"}, []interface{}{2, true, 22, 8})
tPutRecordsKafka(t, p, topic, schemaID2, licodec2, "akey", rec)
rec = makeRecord(t, []string{"id", "a", "b", "c"}, []interface{}{2, true, 22, 9_876_543_210})
tPutRecordsKafka(t, p, topic, schemaID3, licodec3, "akey", rec)
// run ingest
err = m.Run()
if err != nil {
t.Logf("running main: %v", err)
}
client := m.PilosaClient()
schema, err := client.Schema()
if err != nil {
t.Fatalf("getting client: %v", err)
}
index := schema.Index(m.Index)
defer func() {
err := client.DeleteIndex(index)
if err != nil {
t.Logf("deleting index: %v", err)
}
}()
if status, body, err := client.HTTPRequest("POST", "/recalculate-caches", nil, nil); err != nil {
t.Fatalf("recalculating cache: status: %d, response: %s, error: %s", status, body, err)
}
fieldA := index.Field("bools")
fieldB := index.Field("b")
qresp, err := client.Query(index.BatchQuery(fieldA.Row("a"), fieldB.GTE(0)))
if err != nil {
t.Fatalf("querying: %v", err)
}
aRow := qresp.Results()[0].Row().Columns
if !reflect.DeepEqual(aRow, []uint64{1, 2}) {
t.Errorf("unexpected columns for a: %v", aRow)
}
bRow := qresp.Results()[1].Row().Columns
if !reflect.DeepEqual(bRow, []uint64{2}) {
t.Errorf("unexpected columns for a: %v", bRow)
}
qresp, err = client.Query(index.RawQuery("Row(c==7)"))
if err != nil {
t.Fatalf("querying: %v", err)
}
sevenRow := qresp.Results()[0].Row().Columns
if !reflect.DeepEqual(sevenRow, []uint64{1}) {
t.Errorf("unexpected columns for 8: %v", sevenRow)
}
qresp, err = client.Query(index.RawQuery("Row(c==9876543210)"))
if err != nil {
t.Fatalf("querying: %v", err)
}
nineBRow := qresp.Results()[0].Row().Columns
if !reflect.DeepEqual(nineBRow, []uint64{2}) {
t.Errorf("unexpected columns for 9876543210: %v", nineBRow)
}
}
type ConsumerTestConfig struct {
idType string // must be "generated", "id", or "string"
keyFields []string // field used for "id" or "string" record keys
topic string
delete bool
}
/*
Struct that captures data required to run a test that meets the following conditions:
- There is a JSON file will plain text records to write to kafka
- There is an Avro Schema that will be used to record records
above before writing them to kafka
- The data written above will be consumed and set to FeatureBase
- There is a list of PQL queries that can be used to determine if
above went correctly or incorrectly
For test that require multiple iterations of " consumer data from kafka, write it to
FeatureBase, and run queries against it, "
*/
type ConsumerTest struct {
name string
pathsToAvroSchema []string // code currently prepends values with ./testdata/schema/
pathsToRecords []string
consumerConfigs []ConsumerTestConfig
index string
queries [][]string
expectedResults [][]string
pilosaHosts string
kafkaHost string
registryURL string
}
func TestAddingRemovingData(t *testing.T) {
//t.Parallel()
/*
at a high level, a test here represents
- an avro schema
- a set of records to ingest to kafka
- an ingest configuration
- query to run to confirm the data was ingest properly
see test
*/
tests := []ConsumerTest{
{ // confirm time quantums are being ingested
name: "time quantums exist",
pathsToAvroSchema: []string{"timeQuantum.json"},
pathsToRecords: []string{"./testdata/records/timeQuantum.json"},
pilosaHosts: pilosaHost,
registryURL: registryHost,
kafkaHost: kafkaHost,
consumerConfigs: []ConsumerTestConfig{
{
idType: "string",
keyFields: []string{"device"}, //can be multiple for idType: string but a single value otherwise
topic: "timequantums",
delete: false,
},
},
index: "timequantums",
queries: [][]string{
{
"Row(segment_ts='7R83')",
"Row(segment_ts='7R83', from=\"2023-02-17T00:00\", to=\"2023-02-18T00:00\")",
"Row(segment_ts='7R83', from=\"2023-02-16T00:00\", to=\"2023-02-17T00:00\")",
},
},
expectedResults: [][]string{
{
"{\"results\":[{\"columns\":[],\"keys\":[\"0QKtSTqJYXMZWvVe\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"0QKtSTqJYXMZWvVe\"]}]}\n",
"{\"results\":[{\"columns\":[]}]}\n",
},
},
},
{ // confirm all types are being ingest as they should
name: "all values can be inserted",
pathsToAvroSchema: []string{"alltypes.json"},
pathsToRecords: []string{"./testdata/records/alltypes.json"},
pilosaHosts: pilosaHost,
registryURL: registryHost,
kafkaHost: kafkaHost,
consumerConfigs: []ConsumerTestConfig{
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes",
delete: false,
},
},
index: "alltypes",
queries: [][]string{
{
"Count(All())",
"Count(ConstRow(columns=['u2Yr4|sHaUv|x5z8P', 'DY2Ui|kUbdU|pjxqm']))",
"Count(Row(stringset_string='58KIR'))",
"Count(Row(string_string='8MGwy'))",
"Count(Row(stringtq_string='ivWWb'))",
"Count(Row(stringtq_string='ivWWb', to=\"2023-02-03\"))",
"Count(Row(stringtq_string='ivWWb', from=\"2023-02-03\", to=\"2023-02-04\"))",
"Count(Union(Row(stringset_bytes='eNKWF'),Row(stringset_bytes='5ptDx')))",
"Row(string_bytes='vTwn4')",
"Row(stringsettq_bytes='798ka')",
"Row(stringsettq_bytes='798ka', from=\"2023-02-18\")",
"Row(stringsettq_bytes='798ka', from=\"2023-02-16\", to=\"2023-02-18\")",
"Intersect(Row(stringset_stringarray='u2Yr4'), Row(stringset_stringarray='PYE8V'), Row(stringset_stringarray='VBcyJ'), Row(stringset_stringarray='Chgzr'), Row(stringset_stringarray='DY2Ui'))",
"Row(stringtq_stringarray='oxjI0', from=\"2023-01-29\", to=\"2023-01-31\")",
"Intersect(Row(stringset_bytesarray='wNZ7o'), Row(stringset_bytesarray='OKNV2'),Row(stringset_bytesarray='F0uC4'),Row(stringset_bytesarray='VBcyJ'),Row(stringset_bytesarray='KMZnH'))",
"Count(Row(idset_long=839))",
"Count(Row(id_long=809))",
"Count(Row(idtq_long=533))",
"Count(Row(idtq_long=533, from=\"2020-01-01\"))",
"Count(Row(idset_int=533))",
"Count(Row(id_int=168))",
"Count(Row(idsettq_int=113))",
"Row(idsettq_int=113, to=\"2024-01-01\")",
"Count(Intersect(Row(idset_longarray=399),Row(idset_longarray=322), Row(idset_longarray=975), Row(idset_longarray=730), Row(idset_longarray=969)))",
"Count(Intersect(Row(idtq_longarray=172),Row(idtq_longarray=388), Row(idtq_longarray=731), Row(idtq_longarray=429), Row(idtq_longarray=730)))",
"Count(Intersect(Row(idtq_longarray=172, from=\"2022-01-01\"),Row(idtq_longarray=388, from=\"2022-01-01\"), Row(idtq_longarray=731, from=\"2022-01-01\"), Row(idtq_longarray=429, from=\"2022-01-01\"), Row(idtq_longarray=730, from=\"2022-01-01\")))",
"Count(Intersect(Row(idset_intarray=958),Row(idset_intarray=242), Row(idset_intarray=778), Row(idset_intarray=289), Row(idset_intarray=797)))",
"Count(Row(int_long > 500))",
"Count(Row(int_int > 500))",
"Count(Row(decimal_bytes > 1000.00))",
"Count(Row(decimal_float > 3.05))",
"Count(Row(decimal_double > 4.11))",
"Count(Row(dateint_bytes_ts > 1675163490))",
"Count(Row(bools=bool_bool))",
"Count(Not(Row(bools=bool_bool)))",
"Count(Row(timestamp_bytes_ts > \"2023-02-20T00:00:00Z\"))",
"Count(Row(timestamp_bytes_int > \"2023-02-20T00:00:00Z\"))",
},
},
expectedResults: [][]string{
{
"{\"results\":[10]}\n",
"{\"results\":[2]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[0]}\n",
"{\"results\":[1]}\n",
"{\"results\":[2]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"DY2Ui|kUbdU|pjxqm\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[{\"columns\":[]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"u2Yr4|sHaUv|x5z8P\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"yg8hY|tvNOB|byHh9\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"yg8hY|tvNOB|byHh9\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"6TKzc|YKLk9|h1iqc\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[4]}\n",
"{\"results\":[5]}\n",
"{\"results\":[4]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
"{\"results\":[8]}\n",
"{\"results\":[4]}\n",
"{\"results\":[6]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
},
},
},
{ // confirm behavior of nulls.. when all null values passed, nothing should change
name: "all values can be inserted",
pathsToAvroSchema: []string{"alltypes.json"},
pathsToRecords: []string{"./testdata/records/alltypes_null.json"},
pilosaHosts: pilosaHost,
registryURL: registryHost,
kafkaHost: kafkaHost,
consumerConfigs: []ConsumerTestConfig{
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes_null",
delete: false,
},
},
index: "alltypes_null",
queries: [][]string{
{
//"Extract(All(), Rows(stringset_string), Rows(string_string), Rows(stringtq_string), Rows(stringset_bytes), Rows(string_bytes), Rows(stringsettq_bytes), Rows(stringset_stringarray), Rows(stringtq_stringarray), Rows(stringset_bytesarray), Rows(stringtq_bytesarray), Rows(idset_long), Rows(id_long), Rows(idtq_long), Rows(idset_int), Rows(id_int), Rows(idsettq_int), Rows(idset_longarray), Rows(idtq_longarray), Rows(idset_intarray), Rows(stringtq_stringarray), Rows(stringset_bytesarray), Rows(stringtq_bytesarray), Rows(idset_long), Rows(id_long), Rows(idtq_long), Rows(idset_int), Rows(id_int), Rows(idsettq_int), Rows(idset_longarray), Rows(idtq_longarray), Rows(idset_intarray), Rows(int_long), Rows(int_int), Rows(decimal_bytes), Rows(decimal_float), Rows(decimal_double), Rows(dateint_bytes_ts), Rows(bools), Rows(timestamp_bytes_ts), Rows(timestamp_bytes_int))",
"Count(All())",
"Count(Row(stringset_string='7EYSp'))",
"Count(Row(string_string='uirDR'))",
"Count(Row(stringtq_string='Qylqq'))",
"Count(Row(stringset_bytes='gL2Hg'))",
"Count(Row(string_bytes='BmvHF'))",
"Count(Row(stringsettq_bytes='798ka'))",
"Count(Intersect(Row(stringset_stringarray='vbbuf'), Row(stringset_stringarray='VQs7y'), Row(stringset_stringarray='9z4aw'), Row(stringset_stringarray='h1iqc'), Row(stringset_stringarray='aQQxr')))",
"Count(Intersect(Row(stringtq_stringarray='x5z8P'), Row(stringtq_stringarray='0UGJQ'), Row(stringtq_stringarray='58KIR'), Row(stringtq_stringarray='7EYSp'), Row(stringtq_stringarray='CKs1F')))",
"Count(Intersect(Row(stringset_bytesarray='u2Yr4'), Row(stringset_bytesarray='tvNOB'), Row(stringset_bytesarray='iYeOV'), Row(stringset_bytesarray='ZgkOB'), Row(stringset_bytesarray='RPGAm')))",
"Count(Intersect(Row(stringtq_bytesarray='BwqU2'), Row(stringtq_bytesarray='6iGIm'), Row(stringtq_bytesarray='fjQK2'), Row(stringtq_bytesarray='LBTEU'), Row(stringtq_bytesarray='C6xxn')))",
"Count(Row(idset_long=647))",
"Count(Row(id_long=792))",
"Count(Row(idtq_long=676))",
"Count(Row(idset_int=898))",
"Count(Row(id_int=63))",
"Count(Row(idsettq_int=890))",
"Count(Intersect(Row(idset_longarray=442), Row(idset_longarray=167), Row(idset_longarray=230), Row(idset_longarray=344), Row(idset_longarray=733)))",
"Count(Intersect(Row(idtq_longarray=385), Row(idtq_longarray=931), Row(idtq_longarray=157), Row(idtq_longarray=865), Row(idtq_longarray=394)))",
"Count(Intersect(Row(idset_intarray=442), Row(idset_intarray=614), Row(idset_intarray=394), Row(idset_intarray=284), Row(idset_intarray=344)))",
"Count(Row(int_long=584))",
"Count(Row(int_int=344))",
"Count(Row(decimal_bytes=1155.95))",
"Count(Row(decimal_float=3.23))",
"Count(Row(decimal_double=0.95))",
"Count(Row(dateint_bytes_ts=1676534039))",
"Count(Row(bools=bool_bool))",
"Count(Row(timestamp_bytes_ts='2023-02-16T07:53:59Z'))",
"Count(Row(timestamp_bytes_int=1676555639))",
},
},
expectedResults: [][]string{
{
//"{\"results\":[{\"fields\":[{\"name\":\"stringset_string\",\"type\":\"[]string\"},{\"name\":\"string_string\",\"type\":\"string\"},{\"name\":\"stringtq_string\",\"type\":\"[]string\"},{\"name\":\"stringset_bytes\",\"type\":\"[]string\"},{\"name\":\"string_bytes\",\"type\":\"string\"},{\"name\":\"stringsettq_bytes\",\"type\":\"[]string\"},{\"name\":\"stringset_stringarray\",\"type\":\"[]string\"},{\"name\":\"stringtq_stringarray\",\"type\":\"[]string\"},{\"name\":\"stringset_bytesarray\",\"type\":\"[]string\"},{\"name\":\"stringtq_bytesarray\",\"type\":\"[]string\"},{\"name\":\"idset_long\",\"type\":\"[]uint64\"},{\"name\":\"id_long\",\"type\":\"uint64\"},{\"name\":\"idtq_long\",\"type\":\"[]uint64\"},{\"name\":\"idset_int\",\"type\":\"[]uint64\"},{\"name\":\"id_int\",\"type\":\"uint64\"},{\"name\":\"idsettq_int\",\"type\":\"[]uint64\"},{\"name\":\"idset_longarray\",\"type\":\"[]uint64\"},{\"name\":\"idtq_longarray\",\"type\":\"[]uint64\"},{\"name\":\"idset_intarray\",\"type\":\"[]uint64\"},{\"name\":\"stringtq_stringarray\",\"type\":\"[]string\"},{\"name\":\"stringset_bytesarray\",\"type\":\"[]string\"},{\"name\":\"stringtq_bytesarray\",\"type\":\"[]string\"},{\"name\":\"idset_long\",\"type\":\"[]uint64\"},{\"name\":\"id_long\",\"type\":\"uint64\"},{\"name\":\"idtq_long\",\"type\":\"[]uint64\"},{\"name\":\"idset_int\",\"type\":\"[]uint64\"},{\"name\":\"id_int\",\"type\":\"uint64\"},{\"name\":\"idsettq_int\",\"type\":\"[]uint64\"},{\"name\":\"idset_longarray\",\"type\":\"[]uint64\"},{\"name\":\"idtq_longarray\",\"type\":\"[]uint64\"},{\"name\":\"idset_intarray\",\"type\":\"[]uint64\"}],\"columns\":[{\"column\":\"9z4aw|5ptDx|CKs1F\",\"rows\":[[\"7EYSp\"],\"uirDR\",[\"Qylqq\"],[\"gL2Hg\"],\"BmvHF\",[\"798ka\"],[\"9z4aw\",\"h1iqc\",\"aQQxr\",\"vbbuf\",\"VQs7y\"],[\"7EYSp\",\"CKs1F\",\"x5z8P\",\"0UGJQ\",\"58KIR\"],[\"u2Yr4\",\"tvNOB\",\"iYeOV\",\"ZgkOB\",\"RPGAm\"],[\"BwqU2\",\"6iGIm\",\"fjQK2\",\"LBTEU\",\"C6xxn\"],[647],792,[676],[898],63,[890],[167,230,344,442,733],[157,385,394,865,931],[284,344,394,442,614],[\"7EYSp\",\"CKs1F\",\"x5z8P\",\"0UGJQ\",\"58KIR\"],[\"u2Yr4\",\"tvNOB\",\"iYeOV\",\"ZgkOB\",\"RPGAm\"],[\"BwqU2\",\"6iGIm\",\"fjQK2\",\"LBTEU\",\"C6xxn\"],[647],792,[676],[898],63,[890],[167,230,344,442,733],[157,385,394,865,931],[284,344,394,442,614]]}]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
},
},
},
{ // confirm delete behavior when index is keyed
name: "all values can be deleted with keys",
pathsToAvroSchema: []string{
"alltypes.json",
"alltypes_delete_fields.json",
"alltypes_delete_records.json",
"alltypes_delete_value.json",
},
pathsToRecords: []string{
"./testdata/records/alltypes.json",
"./testdata/records/alltypes_delete_fields.json",
"./testdata/records/alltypes_delete_records.json",
"./testdata/records/alltypes_delete_value.json",
},
pilosaHosts: pilosaHost,
registryURL: registryHost,
kafkaHost: kafkaHost,
consumerConfigs: []ConsumerTestConfig{
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes",
delete: false,
},
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes_delete_fields",
delete: true,
},
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes_delete_record",
delete: true,
},
{
idType: "string",
keyFields: []string{"pk0", "pk1", "pk2"},
topic: "alltypes_delete_values",
delete: true,
},
},
index: "alltypes_delete",
queries: [][]string{
{
"Count(All())",
"Count(ConstRow(columns=['u2Yr4|sHaUv|x5z8P', 'DY2Ui|kUbdU|pjxqm']))",
"Count(Row(stringset_string='58KIR'))",
"Count(Row(string_string='8MGwy'))",
"Count(Row(stringtq_string='ivWWb'))",
"Count(Row(stringtq_string='ivWWb', to=\"2023-02-03\"))",
"Count(Row(stringtq_string='ivWWb', from=\"2023-02-03\", to=\"2023-02-04\"))",
"Count(Union(Row(stringset_bytes='eNKWF'),Row(stringset_bytes='5ptDx')))",
"Row(string_bytes='vTwn4')",
"Row(stringsettq_bytes='798ka')",
"Row(stringsettq_bytes='798ka', from=\"2023-02-18\")",
"Row(stringsettq_bytes='798ka', from=\"2023-02-16\", to=\"2023-02-18\")",
"Intersect(Row(stringset_stringarray='u2Yr4'), Row(stringset_stringarray='PYE8V'), Row(stringset_stringarray='VBcyJ'), Row(stringset_stringarray='Chgzr'), Row(stringset_stringarray='DY2Ui'))",
"Row(stringtq_stringarray='oxjI0', from=\"2023-01-29\", to=\"2023-01-31\")",
"Intersect(Row(stringset_bytesarray='wNZ7o'), Row(stringset_bytesarray='OKNV2'),Row(stringset_bytesarray='F0uC4'),Row(stringset_bytesarray='VBcyJ'),Row(stringset_bytesarray='KMZnH'))",
"Count(Row(idset_long=839))",
"Count(Row(id_long=809))",
"Count(Row(idtq_long=533))",
"Count(Row(idtq_long=533, from=\"2020-01-01\"))",
"Count(Row(idset_int=533))",
"Count(Row(id_int=168))",
"Count(Row(idsettq_int=113))",
"Row(idsettq_int=113, to=\"2024-01-01\")",
"Count(Intersect(Row(idset_longarray=399),Row(idset_longarray=322), Row(idset_longarray=975), Row(idset_longarray=730), Row(idset_longarray=969)))",
"Count(Intersect(Row(idtq_longarray=172),Row(idtq_longarray=388), Row(idtq_longarray=731), Row(idtq_longarray=429), Row(idtq_longarray=730)))",
"Count(Intersect(Row(idtq_longarray=172, from=\"2022-01-01\"),Row(idtq_longarray=388, from=\"2022-01-01\"), Row(idtq_longarray=731, from=\"2022-01-01\"), Row(idtq_longarray=429, from=\"2022-01-01\"), Row(idtq_longarray=730, from=\"2022-01-01\")))",
"Count(Intersect(Row(idset_intarray=958),Row(idset_intarray=242), Row(idset_intarray=778), Row(idset_intarray=289), Row(idset_intarray=797)))",
"Count(Row(int_long > 500))",
"Count(Row(int_int > 500))",
"Count(Row(decimal_bytes > 1000.00))",
"Count(Row(decimal_float > 3.05))",
"Count(Row(decimal_double > 4.11))",
"Count(Row(dateint_bytes_ts > 1675163490))",
"Count(Row(bools=bool_bool))",
"Count(Not(Row(bools=bool_bool)))",
"Count(Row(timestamp_bytes_ts > \"2023-02-20T00:00:00Z\"))",
"Count(Row(timestamp_bytes_int > \"2023-02-20T00:00:00Z\"))",
},
{
"Count(All())",
"Row(int_long=null)",
"Count(UnionRows(Rows(stringset_stringarray)))",
"Not(UnionRows(Rows(stringset_stringarray), Rows(string_string),Rows(stringset_bytes),Rows(string_bytes),Rows(stringset_stringarray),Rows(stringset_bytesarray),Rows(idset_long),Rows(id_long),Rows(idset_int),Rows(id_int),Rows(idset_longarray),Rows(idset_intarray)))",
"Row(int_int=null)",
"Row(decimal_bytes=null)",
"Row(decimal_float=null)",
"Count(Row(bools=bool_bool))",
"Count(Not(Row(bools-exists=bool_bool)))",
"Count(Row(dateint_bytes_ts=null))",
},
{
"Count(All())",
},
{
"Row(string_string=\"ZgkOB\")",
"Row(stringset_string =\"7EYSp\")",
"Count(Not(UnionRows(Rows(stringset_string))))",
"Intersect(Not(Intersect(Row(stringset_stringarray=\"u2Yr4\"),Row(stringset_stringarray=\"PYE8V\"), Row(stringset_stringarray=\"VBcyJ\"))), Intersect(Row(stringset_stringarray=\"Chgzr\"), Row(stringset_stringarray=\"DY2Ui\")))",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Not(UnionRows(Rows(idset_int)))))",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Not(UnionRows(Rows(id_int)))))",
"Row(int_int=969)",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Not(UnionRows(Rows(bools-exists)))))",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Row(decimal_double=null)))",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Not(Row(dateint_bytes_ts=null))))",
"Count(Intersect(ConstRow(columns=[\"u2Yr4|sHaUv|x5z8P\"]), Row(timestamp_bytes_int=null)))",
},
},
expectedResults: [][]string{
{
"{\"results\":[10]}\n",
"{\"results\":[2]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[0]}\n",
"{\"results\":[1]}\n",
"{\"results\":[2]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"DY2Ui|kUbdU|pjxqm\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[{\"columns\":[]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"u2Yr4|sHaUv|x5z8P\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"yg8hY|tvNOB|byHh9\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"yg8hY|tvNOB|byHh9\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"6TKzc|YKLk9|h1iqc\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[4]}\n",
"{\"results\":[5]}\n",
"{\"results\":[4]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
"{\"results\":[8]}\n",
"{\"results\":[4]}\n",
"{\"results\":[6]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
},
{
"{\"results\":[10]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[9]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"6TKzc|YKLk9|h1iqc\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"9z4aw|5ptDx|CKs1F\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"RKE3c|6TKzc|RKE3c\"]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"RKE3c|6TKzc|RKE3c\"]}]}\n",
"{\"results\":[3]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
},
{
"{\"results\":[7]}\n",
},
{
"{\"results\":[{\"columns\":[]}]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"u2Yr4|sHaUv|x5z8P\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"u2Yr4|sHaUv|x5z8P\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[],\"keys\":[\"u2Yr4|sHaUv|x5z8P\"]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
},
},
},
{ // confirm delete behavior when index is not keyed (note field level delete not supported with delete consumer on keys: false index)
name: "all values can be deleted with id keys",
pathsToAvroSchema: []string{
"alltypes.json",
"alltypes_delete_records.json",
"alltypes_delete_value.json",
},
pathsToRecords: []string{
"./testdata/records/alltypes.json",
"./testdata/records/alltypes_delete_records_ids.json",
"./testdata/records/alltypes_delete_value_ids.json",
},
pilosaHosts: pilosaHost,
registryURL: registryHost,
kafkaHost: kafkaHost,
consumerConfigs: []ConsumerTestConfig{
{
idType: "generate",
topic: "alltypes",
delete: false,
},
{
idType: "generate",
topic: "alltypes_delete_record_ids",
delete: true,
},
{
idType: "generate",
topic: "alltypes_delete_values_ids",
delete: true,
},
},
index: "alltypes_delete_ids",
queries: [][]string{
{
"Count(All())",
"Count(ConstRow(columns=[2, 3]))",
"Count(Row(stringset_string='58KIR'))",
"Count(Row(string_string='8MGwy'))",
"Count(Row(stringtq_string='ivWWb'))",
"Count(Row(stringtq_string='ivWWb', to=\"2023-02-03\"))",
"Count(Row(stringtq_string='ivWWb', from=\"2023-02-03\", to=\"2023-02-04\"))",
"Count(Union(Row(stringset_bytes='eNKWF'),Row(stringset_bytes='5ptDx')))",
"Count(Row(string_bytes='vTwn4'))",
"Count(Row(stringsettq_bytes='798ka'))",
"Count(Row(stringsettq_bytes='798ka', from=\"2023-02-18\"))",
"Count(Row(stringsettq_bytes='798ka', from=\"2023-02-16\", to=\"2023-02-18\"))",
"Intersect(Row(stringset_stringarray='u2Yr4'), Row(stringset_stringarray='PYE8V'), Row(stringset_stringarray='VBcyJ'), Row(stringset_stringarray='Chgzr'), Row(stringset_stringarray='DY2Ui'))",
"Row(stringtq_stringarray='oxjI0', from=\"2023-01-29\", to=\"2023-01-31\")",
"Intersect(Row(stringset_bytesarray='wNZ7o'), Row(stringset_bytesarray='OKNV2'),Row(stringset_bytesarray='F0uC4'),Row(stringset_bytesarray='VBcyJ'),Row(stringset_bytesarray='KMZnH'))",
"Count(Row(idset_long=839))",
"Count(Row(id_long=809))",
"Count(Row(idtq_long=533))",
"Count(Row(idtq_long=533, from=\"2020-01-01\"))",
"Count(Row(idset_int=533))",
"Count(Row(id_int=168))",
"Count(Row(idsettq_int=113))",
"Row(idsettq_int=113, to=\"2024-01-01\")",
"Count(Intersect(Row(idset_longarray=399),Row(idset_longarray=322), Row(idset_longarray=975), Row(idset_longarray=730), Row(idset_longarray=969)))",
"Count(Intersect(Row(idtq_longarray=172),Row(idtq_longarray=388), Row(idtq_longarray=731), Row(idtq_longarray=429), Row(idtq_longarray=730)))",
"Count(Intersect(Row(idtq_longarray=172, from=\"2022-01-01\"),Row(idtq_longarray=388, from=\"2022-01-01\"), Row(idtq_longarray=731, from=\"2022-01-01\"), Row(idtq_longarray=429, from=\"2022-01-01\"), Row(idtq_longarray=730, from=\"2022-01-01\")))",
"Count(Intersect(Row(idset_intarray=958),Row(idset_intarray=242), Row(idset_intarray=778), Row(idset_intarray=289), Row(idset_intarray=797)))",
"Count(Row(int_long > 500))",
"Count(Row(int_int > 500))",
"Count(Row(decimal_bytes > 1000.00))",
"Count(Row(decimal_float > 3.05))",
"Count(Row(decimal_double > 4.11))",
"Count(Row(dateint_bytes_ts > 1675163490))",
"Count(Row(bools=bool_bool))",
"Count(Not(Row(bools=bool_bool)))",
"Count(Row(timestamp_bytes_ts > \"2023-02-20T00:00:00Z\"))",
"Count(Row(timestamp_bytes_int > \"2023-02-20T00:00:00Z\"))",
},
{
"Count(All())",
},
{
"Row(string_string=\"ZgkOB\")",
"Row(stringset_string =\"7EYSp\")",
"Intersect(Not(Intersect(Row(stringset_stringarray=\"u2Yr4\"),Row(stringset_stringarray=\"PYE8V\"), Row(stringset_stringarray=\"VBcyJ\"))), Intersect(Row(stringset_stringarray=\"Chgzr\"), Row(stringset_stringarray=\"DY2Ui\")))",
"Count(Intersect(ConstRow(columns=[10]), Not(UnionRows(Rows(idset_int)))))",
"Count(Intersect(ConstRow(columns=[10]), Not(UnionRows(Rows(id_int)))))",
"Row(int_int=969)",
"Row(int_int=null)",
"Count(Intersect(ConstRow(columns=[10]), Not(UnionRows(Rows(bools-exists)))))",
"Count(Intersect(ConstRow(columns=[10]), Row(decimal_double=null)))",
"Count(Intersect(ConstRow(columns=[10]), Not(Row(dateint_bytes_ts=null))))",
"Count(Intersect(ConstRow(columns=[10]), Row(timestamp_bytes_int=null)))",
},
},
expectedResults: [][]string{
{
"{\"results\":[10]}\n",
"{\"results\":[2]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[0]}\n",
"{\"results\":[1]}\n",
"{\"results\":[2]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[0]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[10]}]}\n",
"{\"results\":[{\"columns\":[6]}]}\n",
"{\"results\":[{\"columns\":[6]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[7]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[4]}\n",
"{\"results\":[5]}\n",
"{\"results\":[4]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
"{\"results\":[8]}\n",
"{\"results\":[4]}\n",
"{\"results\":[6]}\n",
"{\"results\":[3]}\n",
"{\"results\":[3]}\n",
},
{
"{\"results\":[7]}\n",
},
{
"{\"results\":[{\"columns\":[]}]}\n",
"{\"results\":[{\"columns\":[]}]}\n",
"{\"results\":[{\"columns\":[10]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[{\"columns\":[10]}]}\n",
"{\"results\":[{\"columns\":[8]}]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
"{\"results\":[1]}\n",
},
},
},
}
for _, test := range tests {
// define some vars
now := time.Now().UnixNano()
index := fmt.Sprintf("%s_%d", test.index, now)
//index := test.index
// so topics of the same name end up being the same name after
// adding a timestamp to make sure they're unique
var topics map[string]string
for _, iteration := range test.consumerConfigs {
if topicName, ok := topics[iteration.topic]; ok {
iteration.topic = topicName
} else {
newTopicName := fmt.Sprintf("%s_%d", iteration.topic, now)
iteration.topic = newTopicName
}
}
// iterate through tests (one per consumer config)
for i, iteration := range test.consumerConfigs {
// read in records
records, err := kafkaRecordFromFile(test.pathsToRecords[i])
if err != nil {
t.Errorf("%s", err)
}
// load schema registry, create and produce to the topic
writeRecordsToKafka(t, test.pathsToAvroSchema[i], iteration.topic, test.registryURL, test.kafkaHost, records)
// configure the consumer
consumer, err := NewMain()
if err != nil {
t.Fatalf("creating main %v", err)
}
configureTestFlags(consumer)
consumer.Index = index
consumer.Topics = []string{iteration.topic}
consumer.KafkaBootstrapServers = []string{test.kafkaHost}
consumer.SchemaRegistryURL = test.registryURL
consumer.Delete = iteration.delete
switch iteration.idType {
case "id":
consumer.IDField = iteration.keyFields[0]
case "string":
consumer.PrimaryKeyFields = iteration.keyFields
case "generate":
consumer.AutoGenerate = true
consumer.ExternalGenerate = true
default:
t.Errorf("incorrect idType supplied")
}
consumer.MaxMsgs = uint64(len(records))
consumer.BatchSize = int(consumer.MaxMsgs)
pilosaHostsNew := strings.Split(test.pilosaHosts, ",")
consumer.PilosaHosts = pilosaHostsNew
//remove after flipping back to docker
host := strings.Split(pilosaHostsNew[0], ":")
consumer.PilosaGRPCHosts = []string{fmt.Sprintf("%s:20101", host[0])}
// consumer records
err = consumer.Run()
if err != nil {
t.Fatalf("running consumer: %v", err)
}
// now run queries and confirm the data is as expected
client := consumer.PilosaClient()
runTestQueries(t, index, test.queries[i], test.expectedResults[i], client)
}
}
}
func runTestQueries(t *testing.T, index string, queries, expectedResults []string, client *pilosaclient.Client) {
for i, q := range queries {
status, body, err := client.HTTPRequest("POST", fmt.Sprintf("/index/%s/query", index), []byte(q), nil)
if err != nil {
t.Fatalf("querying featurebase: status: %d, response: %s, error: %s: on query: %s", status, body, err, q)
}
if string(body[:]) != expectedResults[i] {
t.Fatalf("running query %s against index %s. expected %s but got %s", q, index, expectedResults[i], body)
}
}
}
func kafkaRecordFromFile(pathToRecords string) (records []map[string]interface{}, err error) {
var data map[string]interface{}
recordsFile, err := os.Open(pathToRecords)
if err != nil {
return nil, fmt.Errorf("opening records file")
}
defer recordsFile.Close()
s := bufio.NewScanner(recordsFile)
for s.Scan() {
err := json.Unmarshal(s.Bytes(), &data)
if err != nil {
return nil, fmt.Errorf("unmarshal json: %s", err)
}
records = append(records, data)
data = make(map[string]interface{})
}
return records, nil
}
func writeRecordsToKafka(t *testing.T, pathToAvroSchema, topic, schemaRegistryURL, kafkaHost string, records []map[string]interface{}) {
licodec := liDecodeTestSchema(t, pathToAvroSchema)
schemaID := postSchema(t, pathToAvroSchema, fmt.Sprintf("%s_id", topic), schemaRegistryURL, nil)
p, err := confluent.NewProducer(&confluent.ConfigMap{
"bootstrap.servers": kafkaHost,
})
if err != nil {
t.Fatalf("Failed to create producer: %s", err)
}
defer p.Close()
tCreateTopic(t, topic, p)
tPutRecordsKafka(t, p, topic, schemaID, licodec, "akey", records...)
}
type sortableCRI []pilosaclient.CountResultItem
func (s sortableCRI) Len() int { return len(s) }
func (s sortableCRI) Less(i, j int) bool {
if s[i].Count != s[j].Count {
return s[i].Count > s[j].Count
}
if s[i].ID != s[j].ID {
return s[i].ID < s[j].ID
}
if s[i].Key != s[j].Key {
return s[i].Key < s[j].Key
}
return true
}
func (s sortableCRI) Swap(i, j int) {
s[i], s[j] = s[j], s[i]
}
func makeRecord(t *testing.T, fields []string, vals []interface{}) map[string]interface{} {
if len(fields) != len(vals) {
t.Fatalf("have %d fields and %d vals", len(fields), len(vals))
}
ret := make(map[string]interface{})
for i, field := range fields {
ret[field] = vals[i]
}
return ret
}
func tDoHTTPPost(t *testing.T, url, contentType, body string) string {
resp, err := http.Post(url, contentType, strings.NewReader(body))
if err != nil {
t.Fatalf("making POST request: %v", err)
}
bod, err := io.ReadAll(resp.Body)
if err != nil {
t.Fatalf("reading POST response bdoy: %v", err)
}
return string(bod)
}