featurebase/sql3/sql_definitions_test.go
CLoZengineer daceee2ab6
merge: featurebase merge updates for 2022-10-28 (#2188)
* use t.Fatal(f) to abort tests, not panic

* make perf_able run at all, make it debug a bit better

switch perf-able to using same node type we use for other spot instances,
because otherwise it never finds any available capacity.

we switch the perf-able script to use the standard get_value function
instead of direct jq calls.

we try to grab server logs if the restore fails in the hopes of finding
out why the restore very occasionally fails.

* Fix some issues with running IDK tests in docker. (#2248)

*Stop running TestKafkaSourceIntegration with t.Parallel()

This test can't be run in parallel as it's currently written. Doing so
allows for interleaving of messages to the same kafka topic between
tests.

I didn't attempt to modify the test so it could be run in parallel. That
could be done, but left for someone more ambitious.

* Remove idk/testenv/certs which got accidentally committed.

also update .gitignore to include those.

* changes to add bool support in idk (#2240)

* initial changes to add bool support in idk

* modifying some default parameters for testing, will revert them later

* adding support for bool in making fragments function

* boolean values implementation without supporting empty or null values at this point

* Implement bool support in batch using a map (and a slice for nulls) (#2247)

* Implement bool support in batch using a map (and a slice for nulls)

* Keep the PackBools default for now

But set it explicity in the ingest tests which rely on it.

* Modify batch to construct bool update like mutex

The code in API.ImportRoaringShard has a switch statement which causes
bool fields to be handled like mutex fields. This means, that the
viewUpdate.Clear value should only contain data in the first "row" of
the fragment, which it will treat as records to clear for *all* rows.
This makes more sense for mutex fields; for bool fields, there's only
one other row to clear. But since the code is currently handling them
the same, we need to construct viewUpdate.Clear such that it conforms to
that pattern.

This commit also adds a test which covers this logic.

* Remove commented code; revert config for testing

This commit also removes the DELETE_SENTINEL case for non-packed bools,
since that isn't supported anyway.

* Revert default setting

* remove inconsistent type scope

* correcting the logic of string converstion to bool

* resolving an error in a test

* adding tests to cover code related to bool support in batch.go file and interface.go files

* modifying interfaces test

* added one more test case

Co-authored-by: Travis Turner <travis@pilosa.com>
Co-authored-by: Travis Turner <travis@molecula.com>

* resolving bool null field ingestion error (#2254)

* resolving bool null field ingestion error

* testing issues

* adding null support for bools

* updating the null bool field ingestion

* trying to resolve issue when ingesting null value for bool type

* adding a clearing support for bool type

* resolving issues with bool null value ingestion

* updating the jwt go package version and removing changes made in docker compose file

* reverting jwt go version

* removing v4 of jwt

* adding a comment in test file to see if sonar cloud accepts this file

* don't obtain stack traces on rbf.Tx creation

We thought stack traces were mildly expensive. We were very wrong.
Due to a complicated issue in the Go runtime, simultaneous requests
for stack traces end up contending on a lock even when they're not
actually contending on any resources. I've filed a ticket in the
Go issue tracker for this:

	https://github.com/golang/go/issues/56400

In the mean time: Under some workloads, we were seeing 85% of all
CPU time go into the stack backtraces, of which 81% went into the
contention on those locks. But even if you take away the contention,
that leaves us with 4/19 of all CPU time in our code going into
building those stack backtraces. That's a lot of overhead for a
feature we virtually never use.

We might consider adding a backtrace functionality here, possibly
using `runtime.Callers` which is much lower overhead, and allows us
to generate a backtrace on demand (no argument values available,
but then, we never read those because they're unformatted hex
values), but I don't think it's actually very informative to know
what the stack traces were of the Tx; they don't necessarily reflect
the current state of any ongoing use of the Tx, so we can't necessarily
correlate them to goroutine stack dumps, and so on.

* fb-1729 Enriched Table Metadata (#2255)

enriched metadata for tables

added support for the concept of a table and field owners in metadata; mechanism to derive owner from http request metadata; metadata for table description

* tightened up is/is not null filter expressions (FB-1741) (#2260)

Covers tightening up handling filter expressions that contain is/is not null ops. These filters may have to be translated into PQL calls to be passed to the executor and even though sql3 language supports nullability for any data type, currently only BSI fields are nullable at the storage engine level (there is a ticket to add support for non-BSI field here FB-1689: IS SQL Argument returns incorrect error) so when these fields are used in filter conditions we need to handle BSI and non-BSI fields differently.

* added a test to cover the keyword replace as being synonymous with insert (#2261)

* update molecula references to featurebase (#2262)

Co-authored-by: Seebs <seebs@molecula.com>
Co-authored-by: Travis Turner <travis@pilosa.com>
Co-authored-by: Pranitha-malae <56414132+Pranitha-malae@users.noreply.github.com>
Co-authored-by: Travis Turner <travis@molecula.com>
Co-authored-by: pokeeffe-molecula <85502298+pokeeffe-molecula@users.noreply.github.com>
Co-authored-by: Stephanie Yang <stephanie@pilosa.com>
2022-10-28 13:08:23 -04:00

534 lines
14 KiB
Go

// Copyright 2021 Molecula Corp. All rights reserved.
package sql3_test
import (
"time"
"github.com/featurebasedb/featurebase/v3/pql"
)
// tableTests is the list of tests which get run by TestSQL_Execute in
// sql_test.go. They're defined here just to keep the test definitions separate
// from the test execution logic.
var tableTests []tableTest = []tableTest{
{
name: "minmaxnegatives",
table: tbl(
"minmaxnegatives",
srcHdrs(
srcHdr("_id", fldTypeID),
srcHdr("positive_int", fldTypeInt, "min 10", "max 100"),
srcHdr("negative_int", fldTypeInt, "min -100", "max -10"),
),
srcRows(
srcRow(int64(1), int64(11), int64(-11)),
srcRow(int64(2), int64(22), int64(-22)),
srcRow(int64(3), int64(33), int64(-33)),
),
),
sqlTests: []sqlTest{},
},
{
name: "unkeyed",
table: tbl(
"unkeyed",
srcHdrs(
srcHdr("_id", fldTypeID),
srcHdr("an_int", fldTypeInt, "min 0", "max 100"),
srcHdr("an_id_set", fldTypeIDSet),
srcHdr("an_id", fldTypeID),
srcHdr("a_string", fldTypeString),
srcHdr("a_string_set", fldTypeStringSet),
srcHdr("a_decimal", fldTypeDecimal2),
),
srcRows(
srcRow(int64(1), int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}, float64(123.45)),
srcRow(int64(2), int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}, float64(234.56)),
srcRow(int64(3), int64(33), []int64{31, 32, 33}, int64(301), "str3", []string{"a3", "b3", "c3"}, float64(345.67)),
srcRow(int64(4), int64(44), []int64{41, 42, 43}, int64(401), "str4", []string{"a4", "b4", "c4"}, float64(456.78)),
),
),
sqlTests: []sqlTest{
{
// Select all.
name: "select-all",
sqls: sqls(
"select * from unkeyed",
"select _id, an_int, an_id_set, an_id, a_string, a_string_set, a_decimal from unkeyed",
),
expHdrs: hdrs(
hdr("_id", fldTypeID),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
hdr("a_decimal", fldTypeDecimal2),
),
expRows: rows(
row(int64(1), int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}, pql.NewDecimal(12345, 2)),
row(int64(2), int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}, pql.NewDecimal(23456, 2)),
row(int64(3), int64(33), []int64{31, 32, 33}, int64(301), "str3", []string{"a3", "b3", "c3"}, pql.NewDecimal(34567, 2)),
row(int64(4), int64(44), []int64{41, 42, 43}, int64(401), "str4", []string{"a4", "b4", "c4"}, pql.NewDecimal(45678, 2)),
),
compare: compareExactUnordered,
},
{
// Select all with top.
name: "select-all-with-top",
sqls: sqls(
"select top(2) * from unkeyed",
),
expHdrs: hdrs(
hdr("_id", fldTypeID),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
hdr("a_decimal", fldTypeDecimal2),
),
expRows: rows(
row(int64(1), int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}, pql.NewDecimal(12345, 2)),
row(int64(2), int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}, pql.NewDecimal(23456, 2)),
),
compare: compareExactUnordered,
},
{
// Select all with where on each field.
name: "select-all-with-where",
sqls: sqls(
"select * from unkeyed where an_int = 22",
"select * from unkeyed where a_string = 'str2'",
"select * from unkeyed where an_id = 201",
),
expHdrs: hdrs(
hdr("_id", fldTypeID),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
hdr("a_decimal", fldTypeDecimal2),
),
expRows: rows(
row(int64(2), int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}, pql.NewDecimal(23456, 2)),
),
compare: compareExactOrdered,
},
},
},
{
table: tbl(
"keyed",
srcHdrs(
srcHdr("_id", fldTypeString),
srcHdr("an_int", fldTypeInt, "min 0", "max 100"),
srcHdr("an_id_set", fldTypeIDSet),
srcHdr("an_id", fldTypeID),
srcHdr("a_string", fldTypeString),
srcHdr("a_string_set", fldTypeStringSet),
),
srcRows(
srcRow("one", int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}),
srcRow("two", int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}),
srcRow("three", int64(33), []int64{31, 32, 33}, int64(301), "str3", []string{"a3", "b3", "c3"}),
srcRow("four", int64(44), []int64{41, 42, 43}, int64(401), "str4", []string{"a4", "b4", "c4"}),
),
),
sqlTests: []sqlTest{
{
// Select all.
name: "select-all",
sqls: sqls(
"select * from keyed",
"select _id, an_int, an_id_set, an_id, a_string, a_string_set from keyed",
),
expHdrs: hdrs(
hdr("_id", fldTypeString),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
),
expRows: rows(
row("one", int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}),
row("two", int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}),
row("three", int64(33), []int64{31, 32, 33}, int64(301), "str3", []string{"a3", "b3", "c3"}),
row("four", int64(44), []int64{41, 42, 43}, int64(401), "str4", []string{"a4", "b4", "c4"}),
),
compare: compareExactUnordered,
},
{
// Select all with top.
name: "select-all-with-top",
sqls: sqls(
"select top(2) * from keyed",
),
expHdrs: hdrs(
hdr("_id", fldTypeString),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
),
expRows: rows(
row("one", int64(11), []int64{11, 12, 13}, int64(101), "str1", []string{"a1", "b1", "c1"}),
row("two", int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}),
row("three", int64(33), []int64{31, 32, 33}, int64(301), "str3", []string{"a3", "b3", "c3"}),
row("four", int64(44), []int64{41, 42, 43}, int64(401), "str4", []string{"a4", "b4", "c4"}),
),
compare: compareIncludedIn,
expRowCount: 2,
},
{
// Select all with where on int field.
name: "select-all-with-where",
sqls: sqls(
"select * from keyed where an_int = 22",
"select * from keyed where a_string = 'str2'",
"select * from keyed where an_id = 201",
),
expHdrs: hdrs(
hdr("_id", fldTypeString),
hdr("an_int", fldTypeInt),
hdr("an_id_set", fldTypeIDSet),
hdr("an_id", fldTypeID),
hdr("a_string", fldTypeString),
hdr("a_string_set", fldTypeStringSet),
),
expRows: rows(
row("two", int64(22), []int64{21, 22, 23}, int64(201), "str2", []string{"a2", "b2", "c2"}),
),
compare: compareExactUnordered,
},
},
},
setLiteralTests,
setFunctionTests,
setParameterTests,
datePartTests,
insertTest,
keyedInsertTest,
timestampLiterals,
unaryOpExprWithInt,
unaryOpExprWithID,
unaryOpExprWithBool,
unaryOpExprWithDecimal,
unaryOpExprWithTimestamp,
unaryOpExprWithIDSet,
unaryOpExprWithString,
unaryOpExprWithStringSet,
binOpExprWithIntInt,
binOpExprWithIntBool,
binOpExprWithIntID,
binOpExprWithIntDecimal,
binOpExprWithIntTimestamp,
binOpExprWithIntIDSet,
binOpExprWithIntString,
binOpExprWithIntStringSet,
binOpExprWithBoolInt,
binOpExprWithBoolBool,
binOpExprWithBoolID,
binOpExprWithBoolDecimal,
binOpExprWithBoolTimestamp,
binOpExprWithBoolIDSet,
binOpExprWithBoolString,
binOpExprWithBoolStringSet,
binOpExprWithIDInt,
binOpExprWithIDBool,
binOpExprWithIDID,
binOpExprWithIDDecimal,
binOpExprWithIDTimestamp,
binOpExprWithIDIDSet,
binOpExprWithIDString,
binOpExprWithIDStringSet,
binOpExprWithDecInt,
binOpExprWithDecBool,
binOpExprWithDecID,
binOpExprWithDecDecimal,
binOpExprWithDecTimestamp,
binOpExprWithDecIDSet,
binOpExprWithDecString,
binOpExprWithDecStringSet,
binOpExprWithTSInt,
binOpExprWithTSBool,
binOpExprWithTSID,
binOpExprWithTSDecimal,
binOpExprWithTSTimestamp,
binOpExprWithTSIDSet,
binOpExprWithTSString,
binOpExprWithTSStringSet,
binOpExprWithIDSetInt,
binOpExprWithIDSetBool,
binOpExprWithIDSetID,
binOpExprWithIDSetDecimal,
binOpExprWithIDSetTimestamp,
binOpExprWithIDSetIDSet,
binOpExprWithIDSetString,
binOpExprWithIDSetStringSet,
binOpExprWithStringInt,
binOpExprWithStringBool,
binOpExprWithStringID,
binOpExprWithStringDecimal,
binOpExprWithStringTimestamp,
binOpExprWithStringIDSet,
binOpExprWithStringString,
binOpExprWithStringStringSet,
binOpExprWithStringSetInt,
binOpExprWithStringSetBool,
binOpExprWithStringSetID,
binOpExprWithStringSetDecimal,
binOpExprWithStringSetTimestamp,
binOpExprWithStringSetIDSet,
binOpExprWithStringSetString,
binOpExprWithStringSetStringSet,
//cast tests
castIntLiteral,
castInt,
castBool,
castDecimal,
castID,
castIDSet,
castString,
castStringSet,
castTimestamp,
//like tests
likeTests,
notLikeTests,
//null tests
nullTests,
notNullTests,
//null filter tests
nullFilterTests,
//between tests
betweenTests,
notBetweenTests,
//in tests
inTests,
notInTests,
//aggregate tests
countTests,
countDistinctTests,
sumTests,
avgTests,
percentileTests,
minmaxTests,
//groupby tests
groupByTests,
//create table tests
createTable,
//joins
joinTestsUsers,
joinTestsOrders,
joinTests,
//time quantums
// Skip for now - timeQuantumInsertTest,
}
var insertTest = tableTest{
table: tbl(
"testinsert",
srcHdrs(
srcHdr("_id", fldTypeID),
srcHdr("a", fldTypeInt, "min 0", "max 1000"),
srcHdr("b", fldTypeInt, "min 0", "max 1000"),
srcHdr("s", fldTypeString),
srcHdr("bl", fldTypeBool),
srcHdr("d", fldTypeDecimal2),
srcHdr("event", fldTypeStringSet),
srcHdr("ievent", fldTypeIDSet),
),
nil,
),
sqlTests: []sqlTest{
{
// Insert
sqls: sqls(
"insert into testinsert (_id, a, b, s, bl, d, event, ievent) values (4, 40, 400, 'foo', false, 10.12, ['A', 'B', 'C'], [1, 2, 3])",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
{
// Replace
sqls: sqls(
"replace into testinsert (_id, a, b, s, bl, d, event, ievent) values (4, 40, 400, 'foo', false, 10.12, ['A', 'B', 'C'], [1, 2, 3])",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
{
// Insert with nulls
sqls: sqls(
"insert into testinsert (_id, a, b, s, bl, d, event, ievent) values (5, null, null, null, null, null, null, null)",
"insert into testinsert (_id, a, b, s, bl, d, event, ievent) values (6, 1, null, null, null, null, null, null)",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
{
// InsertBadTable
sqls: sqls(
"insert into ifoo (a, b) values (1, 2)",
),
expErr: "table 'ifoo' not found",
},
{
// InsertBadColumn
sqls: sqls(
"insert into testinsert (c, b) values (1, 2)",
),
expErr: "column 'c' not found",
},
{
// InsertDupeColumn
sqls: sqls(
"insert into testinsert (a, a, b) values (1, 2)",
),
expErr: "duplicate column 'a'",
},
{
// InsertMismatchColumnValues
sqls: sqls(
"insert into testinsert (_id, a, b) values (1)",
),
expErr: "mismatch in the count of expressions and target columns",
},
{
// InsertHandleMissingColumns
sqls: sqls(
"insert into testinsert values (4, 40, 400)",
),
expErr: "mismatch in the count of expressions and target columns",
},
{
// InsertHandleMissingId
sqls: sqls(
"insert into testinsert (a, b) values (1, 2)",
),
expErr: "insert column list must have '_id' column specified",
},
{
// InsertHandleMissingIdPlusOneOther
sqls: sqls(
"insert into testinsert (_id) values (1)",
),
expErr: "insert column list must have at least one non '_id' column specified",
},
{
// InsertSetsTypeError
sqls: sqls(
"insert into testinsert (_id, a, event) values (4, 40, [101, 150])",
),
expErr: "an expression of type 'IDSET' cannot be assigned to type 'STRINGSET'",
},
{
// InsertSetsTypeError2
sqls: sqls(
"insert into testinsert (_id, a, ievent) values (4, 40, ['POST', 'GET'])",
),
expErr: "an expression of type 'STRINGSET' cannot be assigned to type 'IDSET'",
},
},
}
var keyedInsertTest = tableTest{
name: "keyedinsert",
table: tbl(
"testkeyedinsert",
srcHdrs(
srcHdr("_id", fldTypeString),
srcHdr("a", fldTypeInt, "min 0", "max 1000"),
srcHdr("b", fldTypeInt, "min 0", "max 1000"),
srcHdr("s", fldTypeString),
srcHdr("bl", fldTypeBool),
srcHdr("d", fldTypeDecimal2),
srcHdr("event", fldTypeStringSet),
srcHdr("ievent", fldTypeIDSet),
),
nil,
),
sqlTests: []sqlTest{
{
// Insert
sqls: sqls(
"insert into testkeyedinsert (_id, a, b, s, bl, d, event, ievent) values ('four', 40, 400, 'foo', false, 10.12, ['A', 'B', 'C'], [1, 2, 3])",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
},
}
func knownTimestamp() time.Time {
tm, err := time.ParseInLocation(time.RFC3339, "2012-11-01T22:08:41+00:00", time.UTC)
if err != nil {
panic(err.Error())
}
return tm
}
var timestampLiterals = tableTest{
table: tbl(
"testtimestampliterals",
srcHdrs(
srcHdr("_id", fldTypeID),
srcHdr("a", fldTypeInt, "min 0", "max 1000"),
srcHdr("b", fldTypeInt, "min 0", "max 1000"),
srcHdr("d", fldTypeDecimal2),
srcHdr("ts", fldTypeTimestamp),
srcHdr("event", fldTypeStringSet),
srcHdr("ievent", fldTypeIDSet),
),
srcRows(),
),
sqlTests: []sqlTest{
{
// InsertWithCurrentTimestamp
sqls: sqls(
"insert into testtimestampliterals (_id, a, b, d, ts, event, ievent) values (4, 40, 400, 10.12, current_timestamp, ['A', 'B', 'C'], [1, 2, 3])",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
{
// InsertWithCurrentDate
sqls: sqls(
"insert into testtimestampliterals (_id, a, b, d, ts, event, ievent) values (4, 40, 400, 10.12, current_date, ['A', 'B', 'C'], [1, 2, 3])",
),
expHdrs: hdrs(),
expRows: rows(),
compare: compareExactUnordered,
},
},
}