Опис

Увеличенный Интеркулер для BMW
Размер ядра: 530x244x150мм
Площадь интеркулера больше стандартного примерно на 87%!
Внутренний объем больше на 95%!

Подходит на автомобили:

- BMW 525d 2004-2010 E60/61 130-145KW/177-197PS
- BMW 530d 2003-2010 E60/61 160-173KW/218-235PS
- BMW 535d 2004-2010 E60/E61 200-210KW/272-286PS
- BMW 635d 2006-2010 E63/E64 200-210KW/272-286PS

- BMW 535i 2006-2009 E60/E61 225KW/306PS*

Производится на заказ для компании TurboKIT, с дополнительным контролем качества!

TURBO KIT - Запчасти для тюнинга и спорта
www.turbokit.com.ua
www.facebook.com/turb0.Kit
www.instagram.com/turbo_kit_ua/

Схожі оголошення

OK · 1803.1 ms · SQL 10 (350.2 ms) · ES 3 (1431.8 ms) · PHP 8.5.12 · 0.8 MB

Elasticsearch

POST /abyhomcom/_search → 200 · 403.8 ms · знайдено 103721, повернуто 8
тіло запиту
{
    "query": {
        "bool": {
            "filter": [
                {
                    "terms": {
                        "category_id": [
                            9
                        ]
                    }
                },
                {
                    "term": {
                        "city_id": 127
                    }
                }
            ],
            "must_not": [
                {
                    "term": {
                        "id": 178306065
                    }
                }
            ]
        }
    },
    "sort": [
        {
            "data_post": {
                "order": "desc"
            }
        },
        {
            "id": "desc"
        }
    ],
    "from": 0,
    "size": 8,
    "_source": [
        "id",
        "m2",
        "km",
        "price2",
        "attribute"
    ],
    "track_total_hits": true
}
POST /abyhomcom/_search → 200 · 17.9 ms · знайдено 1, повернуто 1
тіло запиту
{
    "query": {
        "term": {
            "id": 178306065
        }
    },
    "size": 1,
    "_source": [
        "id",
        "m2",
        "km",
        "price2",
        "attribute"
    ]
}
POST /abyhomcom/_search → 200 · 1010.1 ms
тіло запиту
{
    "size": 0,
    "track_total_hits": false,
    "aggs": {
        "by_cat": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "term": {
                                "city_id": 127
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "category_id",
                        "size": 2000
                    }
                }
            }
        },
        "by_city": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "terms": {
                                "category_id": [
                                    9
                                ]
                            }
                        },
                        {
                            "term": {
                                "region": 2188
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "city_id",
                        "size": 30
                    }
                }
            }
        },
        "by_region": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "terms": {
                                "category_id": [
                                    9
                                ]
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "region",
                        "size": 30
                    }
                }
            }
        }
    }
}

SQL

SHOW TABLES · 8.64 ms
SELECT p.id, p.category_id, p.city_id, p.region AS region_id, p.vendor AS vendor_id, p.name, p.description, p.name AS name_orig, p.price, p.currency, p.bargain, p.conditions, p.url, p.img, p.view AS views, p.data_post, p.data_edit, COALESCE(NULLIF(c.name_ua, ''), NULLIF(c.name, '')) AS city_name, c.url AS city_slug FROM `post` p LEFT JOIN `city` c ON c.id = p.city_id WHERE p.id IN (?) AND (1=1) [178306065] · 66.77 ms
SELECT v.post_id, v.attribute_id, v.value, COALESCE(NULLIF(a.name_ua, ''), NULLIF(a.name, '')) AS name FROM `attribute_value` v JOIN `attribute` a ON a.id = v.attribute_id WHERE v.post_id IN (?) AND v.value IS NOT NULL AND v.value <> '' ORDER BY a.id [178306065] · 2.88 ms
SELECT p.id, p.category_id, p.city_id, p.region AS region_id, p.vendor AS vendor_id, p.name, p.description, p.name AS name_orig, p.price, p.currency, p.bargain, p.conditions, p.url, p.img, p.view AS views, p.data_post, p.data_edit, COALESCE(NULLIF(c.name_ua, ''), NULLIF(c.name, '')) AS city_name, c.url AS city_slug FROM `post` p LEFT JOIN `city` c ON c.id = p.city_id WHERE p.id IN (?,?,?,?,?,?,?,?) AND (1=1) [219206976,219206495,219206315,219206285,219206276,219206273,219205757,219205676] · 1.54 ms
SELECT v.post_id, v.attribute_id, v.value, COALESCE(NULLIF(a.name_ua, ''), NULLIF(a.name, '')) AS name FROM `attribute_value` v JOIN `attribute` a ON a.id = v.attribute_id WHERE v.post_id IN (?,?,?,?,?,?,?,?) AND v.value IS NOT NULL AND v.value <> '' ORDER BY a.id [219205676,219205757,219206273,219206276,219206285,219206315,219206495,219206976] · 0.68 ms
SELECT c.* FROM `category` c ORDER BY c.id · 4.54 ms
SELECT c.id, c.parent_id, c.url AS slug, COALESCE(NULLIF(c.name_ua, ''), NULLIF(c.name, '')) AS name, NULL AS name_loc FROM `city` c WHERE c.id IN (?) [127] · 0.77 ms
SELECT c.id FROM `city` c WHERE c.parent_id = 0 LIMIT 2 · 203.81 ms
SELECT c.id, c.parent_id, c.url AS slug, COALESCE(NULLIF(c.name_ua, ''), NULLIF(c.name, '')) AS name, NULL AS name_loc FROM `city` c WHERE c.id IN (?) [2188] · 58.9 ms
SELECT c.id, c.parent_id, c.url AS slug, COALESCE(NULLIF(c.name_ua, ''), NULLIF(c.name, '')) AS name, NULL AS name_loc FROM `city` c WHERE c.parent_id = ? LIMIT 3000 [5] · 1.69 ms