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Copy pathquery_remapper_function.go
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207 lines (182 loc) · 7.84 KB
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package main
import (
"regexp"
pgQuery "github.com/pganalyze/pg_query_go/v6"
)
var PG_CATALOG_MACRO_FUNCTION_NAMES = Set[string]{}
var PG_INFORMATION_SCHEMA_MACRO_FUNCTION_NAMES = Set[string]{}
func CreatePgCatalogMacroQueries(config *Config) []string {
result := []string{
// Functions
"CREATE MACRO aclexplode(aclitem_array) AS json(aclitem_array)",
"CREATE MACRO current_setting(setting_name) AS '', (setting_name, missing_ok) AS ''",
"CREATE MACRO pg_backend_pid() AS 0",
"CREATE MACRO pg_cancel_backend(pid) AS true",
"CREATE MACRO pg_encoding_to_char(encoding_int) AS 'UTF8'",
"CREATE MACRO pg_get_expr(pg_node_tree, relation_oid) AS pg_catalog.pg_get_expr(pg_node_tree, relation_oid), (pg_node_tree, relation_oid, pretty_bool) AS pg_catalog.pg_get_expr(pg_node_tree, relation_oid)",
"CREATE MACRO pg_get_function_identity_arguments(func_oid) AS ''",
"CREATE MACRO pg_get_indexdef(index_oid) AS '', (index_oid, column_int) AS '', (index_oid, column_int, pretty_bool) AS ''",
"CREATE MACRO pg_get_partkeydef(table_oid) AS ''",
"CREATE MACRO pg_get_userbyid(role_id) AS '" + config.User + "'",
"CREATE MACRO pg_get_viewdef(view_oid) AS pg_catalog.pg_get_viewdef(view_oid), (view_oid, pretty_bool) AS pg_catalog.pg_get_viewdef(view_oid)",
"CREATE MACRO pg_indexes_size(regclass) AS 0",
"CREATE MACRO pg_is_in_recovery() AS false",
"CREATE MACRO pg_table_size(regclass) AS 0",
"CREATE MACRO pg_tablespace_location(tablespace_oid) AS ''",
"CREATE MACRO pg_total_relation_size(regclass) AS 0",
"CREATE MACRO quote_ident(text) AS '\"' || text || '\"'",
"CREATE MACRO row_to_json(record) AS to_json(record), (record, pretty_bool) AS to_json(record)",
"CREATE MACRO set_config(setting_name, new_value, is_local) AS new_value",
"CREATE MACRO version() AS 'PostgreSQL " + PG_VERSION + ", compiled by PgStack'",
"CREATE MACRO pg_get_statisticsobjdef_columns(oid) AS NULL",
"CREATE MACRO pg_relation_is_publishable(val) AS NULL",
`CREATE MACRO jsonb_extract_path_text(from_json, path_elems) AS
CASE typeof(path_elems) LIKE '%[]'
WHEN true THEN json_extract_path_text(from_json, path_elems)[1]::varchar
ELSE json_extract_path_text(from_json, path_elems)::varchar
END`,
`CREATE MACRO jsonb_object_agg(key, value) AS to_json(map(array_agg(key), array_agg(value)))`,
`CREATE MACRO jsonb_array_length(json) AS CAST(json_array_length(json) AS INTEGER)`,
`CREATE MACRO jsonb_pretty(json) AS json_pretty(json)`,
`CREATE MACRO json_array_elements(json) AS unnest(json_extract(json, '$[*]'))`,
`CREATE MACRO jsonb_array_elements(json) AS unnest(json_extract(json, '$[*]'))`,
`CREATE OR REPLACE MACRO json_build_object(k1, v1) AS json_object(CAST(k1 AS VARCHAR), v1)`,
`CREATE OR REPLACE MACRO json_build_object(k1, v1, k2, v2) AS json_object(CAST(k1 AS VARCHAR), v1, CAST(k2 AS VARCHAR), v2)`,
`CREATE OR REPLACE MACRO json_build_object(k1, v1, k2, v2, k3, v3) AS json_object(CAST(k1 AS VARCHAR), v1, CAST(k2 AS VARCHAR), v2, CAST(k3 AS VARCHAR), v3)`,
`CREATE OR REPLACE MACRO json_build_object(k1, v1, k2, v2, k3, v3, k4, v4) AS json_object(CAST(k1 AS VARCHAR), v1, CAST(k2 AS VARCHAR), v2, CAST(k3 AS VARCHAR), v3, CAST(k4 AS VARCHAR), v4)`,
`CREATE MACRO array_upper(arr, dimension) AS
CASE dimension
WHEN 1 THEN len(arr)
ELSE NULL
END`,
`CREATE MACRO to_char(timestamp_var, text) AS
CASE text
WHEN 'YYYY-MM-DD' THEN strftime(timestamp_var, '%Y-%m-%d')
WHEN 'YYYY-MM-DD HH24:MI:SS' THEN strftime(timestamp_var, '%Y-%m-%d %H:%M:%S')
WHEN 'MM/DD/YYYY' THEN strftime(timestamp_var, '%m/%d/%Y')
WHEN 'DD-MON-YYYY' THEN strftime(timestamp_var, '%d-%b-%Y')
WHEN 'HH24:MI:SS' THEN strftime(timestamp_var, '%H:%M:%S')
WHEN 'YYYY' THEN strftime(timestamp_var, '%Y')
WHEN 'MM' THEN strftime(timestamp_var, '%m')
WHEN 'DD' THEN strftime(timestamp_var, '%d')
ELSE strftime(timestamp_var, text)
END`,
// Table functions
"CREATE MACRO pg_is_in_recovery() AS TABLE SELECT false AS pg_is_in_recovery",
`CREATE MACRO json_array_elements(json) AS TABLE SELECT unnest(json_extract(json, '$[*]'))`,
`CREATE MACRO jsonb_array_elements(json) AS TABLE SELECT unnest(json_extract(json, '$[*]'))`,
`CREATE MACRO pg_show_all_settings() AS TABLE SELECT
name,
value AS setting,
NULL::text AS unit,
'Settings' AS category,
description AS short_desc,
NULL::text AS extra_desc,
'user' AS context,
input_type AS vartype,
'default' AS source,
NULL::int4 AS min_val,
NULL::int4 AS max_val,
NULL::text[] AS enumvals,
value AS boot_val,
value AS reset_val,
NULL::text AS sourcefile,
NULL::int4 AS sourceline,
FALSE AS pending_restart
FROM duckdb_settings()`,
`CREATE MACRO pg_get_keywords() AS TABLE SELECT
keyword_name AS word,
'U' AS catcode,
TRUE AS barelabel,
keyword_category AS catdesc,
'can be bare label' AS baredesc
FROM duckdb_keywords()`,
}
PG_CATALOG_MACRO_FUNCTION_NAMES = extractMacroNames(result)
return result
}
func CreateInformationSchemaMacroQueries(config *Config) []string {
result := []string{
"CREATE MACRO _pg_expandarray(arr) AS TABLE SELECT unnest(arr) AS x, unnest(generate_series(1, array_length(arr))) AS n",
}
PG_INFORMATION_SCHEMA_MACRO_FUNCTION_NAMES = extractMacroNames(result)
return result
}
var BUILTIN_DUCKDB_PG_FUNCTION_NAMES = NewSet[string]().AddAll([]string{
"array_to_string",
"generate_series",
})
type QueryRemapperFunction struct {
parserFunction *ParserFunction
icebergReader *IcebergReader
config *Config
}
func NewQueryRemapperFunction(config *Config, icebergReader *IcebergReader) *QueryRemapperFunction {
return &QueryRemapperFunction{
parserFunction: NewParserFunction(config),
icebergReader: icebergReader,
config: config,
}
}
// FUNCTION(...) -> ANOTHER_FUNCTION(...)
func (remapper *QueryRemapperFunction) RemapFunctionCall(functionCall *pgQuery.FuncCall) *QuerySchemaFunction {
schemaFunction := remapper.parserFunction.SchemaFunction(functionCall)
// Pre-defined macro functions
switch schemaFunction.Schema {
// pg_catalog.func() -> main.func()
case PG_SCHEMA_PG_CATALOG, "":
if PG_CATALOG_MACRO_FUNCTION_NAMES.Contains(schemaFunction.Function) || BUILTIN_DUCKDB_PG_FUNCTION_NAMES.Contains(schemaFunction.Function) {
remapper.parserFunction.RemapSchemaToMain(functionCall)
return schemaFunction
}
// information_schema.func() -> main.func()
case PG_SCHEMA_INFORMATION_SCHEMA:
if PG_INFORMATION_SCHEMA_MACRO_FUNCTION_NAMES.Contains(schemaFunction.Function) {
remapper.parserFunction.RemapSchemaToMain(functionCall)
return schemaFunction
}
}
switch {
// format('%s %1$s', str) -> printf('%1$s %1$s', str)
case schemaFunction.Function == PG_FUNCTION_FORMAT:
remapper.parserFunction.RemapFormatToPrintf(functionCall)
return schemaFunction
// encode(sha256(...), 'hex') -> sha256(...)
case schemaFunction.Function == PG_FUNCTION_ENCODE:
remapper.parserFunction.RemoveEncode(functionCall)
return schemaFunction
}
// jsonb_agg(...) -> to_json(array_agg(...))
if schemaFunction.Function == PG_FUNCTION_JSONB_AGG {
remapper.parserFunction.RemapJsonbAgg(functionCall)
return schemaFunction
}
return nil
}
func (remapper *QueryRemapperFunction) RemapNestedFunctionCalls(functionCall *pgQuery.FuncCall) {
nestedFunctionCalls := remapper.parserFunction.NestedFunctionCalls(functionCall)
if len(nestedFunctionCalls) == 0 {
return
}
for _, nestedFunctionCall := range nestedFunctionCalls {
if nestedFunctionCall == nil {
continue
}
schemaFunction := remapper.RemapFunctionCall(nestedFunctionCall)
if schemaFunction != nil {
continue
}
remapper.RemapNestedFunctionCalls(nestedFunctionCall) // self-recursion
}
}
func extractMacroNames(macros []string) Set[string] {
names := make(Set[string])
re := regexp.MustCompile(`CREATE MACRO (\w+)\(`)
for _, macro := range macros {
matches := re.FindStringSubmatch(macro)
if len(matches) > 1 {
names.Add(matches[1])
}
}
return names
}