Charlatan is a query engine for lists or streams of records in different formats. It natively supports CSV and JSON formats but can easily be extended to others.
It supports an SQL-like query language that is defined below. Queries are applied to records to extract values depending on zero or more criteria.
SELECT <fields> FROM <source> [ WHERE <value> ] [ STARTING AT <index> ] [ LIMIT [<offset>,] <count> ]
<fields>
is a list of comma-separated field names. Each field name must exist in the source. When reading CSV files, the field names are the column names, while when reading JSON they represent keys.<source>
is the filename from which the data is read. The API is agnostique on this and one can implement support for any source type.<value>
is a SQL-like value, which can be either a constant (e.g.WHERE 1
), a field (e.g.WHERE archived
) or any operation using comparison operators (=
,!=
,<
,<=
,>
,>=
,AND
,OR
) and optionally parentheses (e.g.WHERE (foo > 2) AND (bar = "yo")
). The parser allows to use&&
instead ofAND
and||
instead ofOR
. It also support inclusive range tests, likeWHERE age BETWEEN 20 AND 30
.LIMIT N
can be used to keep only the first N matched records. It also support the MySQL way to specify offsets:LIMIT M, N
can be used to get the first N matched records after the M-th.STARTING AT <index>
can be used to skip the first N records. It’s equivalent to the<offset>
field of theLIMIT
clause, and if both clauses are used in a query, the last one will be used.
Constant values include strings, integers, floats, booleans and the null
value.
SELECT CountryName FROM sample/csv/population.csv WHERE Year = 2010 AND Value > 50000000 AND Value < 70000000
SELECT name, age FROM sample/json/people.jsons WHERE stats.walking > 30 AND stats.biking < 300
SELECT name, age FROM sample/json/people.jsons WHERE stats.walking BETWEEN 20 AND 100 LIMIT 10, 5
- int: same value if the constant is an integer. Truncated value if it’s a
float.
1
if it’s atrue
boolean.0
for everything else. - float: same value if the constant is an integer or a float.
1.0
if it’s atrue
boolean.0.0
for everything else. - boolean:
true
if it’s a string (even if it’s empty), atrue
boolean, a non-zero integer or float.false
for everything else. - string: the string representation of the constant.
null
becomes"null"
These rules mean that e.g. WHERE 0
is equivalent to WHERE false
and
WHERE ""
is equivalent to WHERE true
.
The library is responsible for parsing the query and executing against records. Everything else is up to you, including how fields are retrieved from records.
Note: code examples below don’t include error handling for clarity purposes.
// parse the query
query, _ := charlatan.QueryFromString("SELECT foo FROM myfile.json WHERE foo > 2")
// open the source file
reader, _ := os.Open(query.From())
defer reader.Close()
// skip lines if the query contains "STARTING AT <n>"
skip := query.StartingAt()
decoder := json.NewDecoder(reader)
for {
// here we use STARTING AT to skip all lines, not only the ones that match
// the query. This is not the usual behavior, but we can do whatever we
// want here.
skip--
if skip >= 0 {
continue
}
// get a new JSON record
r, err := record.NewJSONRecordFromDecoder(decoder)
if err == io.EOF {
break
}
// evaluate the query against the record to test if it matches
if match, _ := query.Evaluate(r); !match {
continue
}
// extract the values and print them
values, _ := query.FieldsValues(r)
fmt.Printf("%v\n", values)
}
Two record types are included: JSONRecord
and CSVRecord
. Implementing a
record only requires one method: Find(*Field) (*Const, error)
, which takes a
field and return its value.
As an example, let’s implement a LineRecord
that’ll be used to get specific
characters on each line of a file, c0
being the first character:
type LineRecord struct { Line string }
func (r *LineRecord) Find(f *charlatan.Field) (*charlatan.Const, error) {
// this is the field value we must return
name := f.Name()
// we reject fields that doesn't start with 'c'
if len(name) < 2 || name[0] != 'c' {
return nil, fmt.Errorf("Unknown field '%s'", name)
}
// we extract the character index from the field name.
index, err := strconv.ParseInt(name[1:], 10, 64)
if err != nil {
return nil, err
}
// let's not be too strict and accept out-of-range indexes
if index < 0 || index >= int64(len(r.Line)) {
return charlatan.StringConst(""), nil
}
return charlatan.StringConst(fmt.Sprintf("%c", r.Line[index])), nil
}
One can now loop over a file’s content, construct LineRecord
s from its lines
and evaluate queries against them:
query, _ := charlatan.QueryFromString("SELECT c1 FROM myfile WHERE c0 = 'a'")
f, _ := os.Open(query.From())
defer f.Close()
s := bufio.NewScanner(f)
for s.Scan() {
r := &LineRecord{Line: s.Text()}
if m, _ := query.Evaluate(r); !m {
continue
}
values, _ := query.FieldsValues(r)
fmt.Printf("%v\n", values)
}
Two examples are included in the repository under sample/csv/
and
sample/json/
.