Опис

1996 рік, двигун на місці, стартер круте, колишній власник каже, що робив капремонт), механіка, диски звичайні стальні, кузов гниленький, переоформлюється(можливо під відновлення).на купу гора запчастин: двигун 2.0(знята ГБЦ, була пробита прокладка, всі запчастини є) ,автомат, ГБО, литі диски, кузов ціленький. як донор, але змінились обставини, продаю обидва за непотрібністю. Авто на запчастини(підходять до авто Opel Ascona, Kadett, Vektra A, Lanos та ін. )

Схожі оголошення

OK · 51.8 ms · SQL 10 (12.7 ms) · ES 3 (25.5 ms) · PHP 8.5.12 · 1 MB

Elasticsearch

POST /abyhomcom/_search → 200 · 16.3 ms · знайдено 35915, повернуто 8
тіло запиту
{
    "query": {
        "bool": {
            "filter": [
                {
                    "terms": {
                        "category_id": [
                            2
                        ]
                    }
                },
                {
                    "term": {
                        "city_id": 137
                    }
                }
            ],
            "must_not": [
                {
                    "term": {
                        "id": 205583255
                    }
                }
            ]
        }
    },
    "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 · 3.8 ms · знайдено 1, повернуто 1
тіло запиту
{
    "query": {
        "term": {
            "id": 205583255
        }
    },
    "size": 1,
    "_source": [
        "id",
        "m2",
        "km",
        "price2",
        "attribute"
    ]
}
POST /abyhomcom/_search → 200 · 5.4 ms
тіло запиту
{
    "size": 0,
    "track_total_hits": false,
    "aggs": {
        "by_cat": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "term": {
                                "city_id": 137
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "category_id",
                        "size": 2000
                    }
                }
            }
        },
        "by_city": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "terms": {
                                "category_id": [
                                    2
                                ]
                            }
                        },
                        {
                            "term": {
                                "region": 2212
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "city_id",
                        "size": 30
                    }
                }
            }
        },
        "by_region": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "terms": {
                                "category_id": [
                                    2
                                ]
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "region",
                        "size": 30
                    }
                }
            }
        }
    }
}

SQL

SHOW TABLES · 1.59 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) [205583255] · 2 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 [205583255] · 0.98 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) [219183449,219183254,219180365,219180224,219180194,219180185,219179948,219179939] · 0.89 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 [219179939,219179948,219180185,219180194,219180224,219180365,219183254,219183449] · 1.3 ms
SELECT c.* FROM `category` c ORDER BY c.id · 1.05 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 (?) [137] · 2.36 ms
SELECT c.id FROM `city` c WHERE c.parent_id = 0 LIMIT 2 · 0.51 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 (?) [2212] · 0.87 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] · 1.16 ms