Опис

GM GDS2 v22+v100 (2020-2023)
v22.4.05300 + v100.0.01400 + 25 пакетов данных!
Honda i-HDS v1.006.059 (2022-03)
JLR SDD v164 (2023-01)
Mercedes Xentry PassThru v23.09.3 (2023-09) x64
Nissan Consult 3 plus v82.50
ODIS Engineering v17.01 (2023-04) x64
ODIS Service v23.01 (2023-10) x64
Reanult CAN Clip v222 (2022-10)
Subaru SSM4 v26.6.0 (2021-07)
ForScan
BMW Inpa Ista+ rheingold
Также есть готовый образ, с установленными всеми программами, только установить на SDD.

Схожі оголошення

OK · 1987.8 ms · SQL 10 (167.1 ms) · ES 3 (1808.2 ms) · PHP 8.5.12 · 0.8 MB

Elasticsearch

POST /abyhomcom/_search → 200 · 140.8 ms · знайдено 25, повернуто 8
тіло запиту
{
    "query": {
        "bool": {
            "filter": [
                {
                    "terms": {
                        "category_id": [
                            9
                        ]
                    }
                },
                {
                    "term": {
                        "city_id": 8064
                    }
                }
            ],
            "must_not": [
                {
                    "term": {
                        "id": 217842166
                    }
                }
            ]
        }
    },
    "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 · 71.5 ms · знайдено 1, повернуто 1
тіло запиту
{
    "query": {
        "term": {
            "id": 217842166
        }
    },
    "size": 1,
    "_source": [
        "id",
        "m2",
        "km",
        "price2",
        "attribute"
    ]
}
POST /abyhomcom/_search → 200 · 1595.9 ms
тіло запиту
{
    "size": 0,
    "track_total_hits": false,
    "aggs": {
        "by_cat": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "term": {
                                "city_id": 8064
                            }
                        }
                    ]
                }
            },
            "aggs": {
                "t": {
                    "terms": {
                        "field": "category_id",
                        "size": 2000
                    }
                }
            }
        },
        "by_city": {
            "filter": {
                "bool": {
                    "filter": [
                        {
                            "terms": {
                                "category_id": [
                                    9
                                ]
                            }
                        },
                        {
                            "term": {
                                "region": 2224
                            }
                        }
                    ]
                }
            },
            "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 · 3.21 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) [217842166] · 15.75 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 [217842166] · 56.67 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) [217134568,215606952,215605884,214706004,212539992,211359672,210376895,209949428] · 82.46 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 [209949428,210376895,211359672,212539992,214706004,215605884,215606952,217134568] · 5.74 ms
SELECT c.* FROM `category` c ORDER BY c.id · 0.69 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 (?) [8064] · 0.46 ms
SELECT c.id FROM `city` c WHERE c.parent_id = 0 LIMIT 2 · 0.31 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 (?) [2224] · 0.37 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] · 1.42 ms