Trend Visualization not working with MongoDB

So I have this MongoDB data source. I used the interface to create a trend visualization and it works.
image
image

But I have a native code that needs to be used because the interface isn't good enough. It seems that the Trend visualization is disabled
image

Here is the full query

[
    {
        "$match": {
          "$expr": {
            "$lt": [
              "$created",
              {
                "$dateFromString": {
                  "dateString": "2023-01-01T00:00Z"
                }
              }
            ]
          }
        }
    },
    {
        "$addFields": {
            "activityCount": {
                "$cond": {
                    "if": {
                        "$and": [
                            {
                                "$isArray": "$divisions"
                            },
                            {
                                "$gt": [
                                    {
                                        "$size": "$divisions"
                                    },
                                    0
                                ]
                            }
                        ]
                    },
                    "then": {
                        "$size": "$divisions"
                    },
                    "else": 1
                }
            }
        }
    },
    {
        "$match": {
            "document_status": "final"
        }
    },
    {
        "$project": {
            "created": 1,
            "divisions": 1,
            "activityCount": 1
        }
    },
    {
        "$group": {
            "_id": {
                "year": {
                    "$let": {
                        "vars": {
                          "parts": {
                            "$dateToParts": {
                              "timezone": "GMT",
                              "date": "$created"
                            }
                          }
                        },
                        "in": {
                          "$dateFromParts": {
                            "timezone": "GMT",
                            "year": "$$parts.year"
                          }
                        }
                    }
                }
            },
            "count": {
                "$sum": "$activityCount"
            }
        }
    },
    {
        "$sort": {
            "_id": 1
        }
    },
    {
        "$set": {
            "year": "$_id.year"
        }
    },
    {
        "$unset": [
            "_id"
        ]
    },
    {
        "$setWindowFields": {
            "sortBy": {
                "year": 1
            },
            "output": {
                "cumulative": {
                    "$sum": "$count",
                    "window": {
                        "documents": [
                            "unbounded",
                            "current"
                        ]
                    }
                }
            }
        }
    },
    {
        "$project": {
            "cumulative": 1,
            "year": 1
        }
    }
]

Here is the data from Admin > Troubleshooting

{
  "browser-info": {
    "language": "en-US",
    "platform": "Linux x86_64",
    "userAgent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/108.0.0.0 Safari/537.36",
    "vendor": "Google Inc."
  },
  "system-info": {
    "file.encoding": "UTF-8",
    "java.runtime.name": "OpenJDK Runtime Environment",
    "java.runtime.version": "11.0.17+8",
    "java.vendor": "Eclipse Adoptium",
    "java.vendor.url": "https://adoptium.net/",
    "java.version": "11.0.17",
    "java.vm.name": "OpenJDK 64-Bit Server VM",
    "java.vm.version": "11.0.17+8",
    "os.name": "Linux",
    "os.version": "5.15.0-58-generic",
    "user.language": "en",
    "user.timezone": "GMT"
  },
  "metabase-info": {
    "databases": [
      "h2",
      "mongo",
      "postgres"
    ],
    "hosting-env": "unknown",
    "application-database": "mysql",
    "application-database-details": {
      "database": {
        "name": "MariaDB",
        "version": "10.10.2-MariaDB-1:10.10.2+maria~ubu2204"
      },
      "jdbc-driver": {
        "name": "MariaDB Connector/J",
        "version": "2.7.6"
      }
    },
    "run-mode": "prod",
    "version": {
      "date": "2023-01-17",
      "tag": "v0.45.2",
      "branch": "release-x.45.x",
      "hash": "819ce29"
    },
    "settings": {
      "report-timezone": "Asia/Jakarta"
    }
  }
}
1 Like

Hey, I'm not super familiar with MongoDB, but in your native query, can you convert the "year" column to a datetime data type?

I think the Trend viz expects a numeric column and a datetime column to work.

You can tell "year" isn't a datetime because Metabase is formatting it with a comma :slight_smile:

Hi,

Could you finally make it work ? Because I have exactly the same issue, and I have the feeling that there's really a bug somewhere.
In my case, I have a collection containing a date, a year (integer format, computed from the date), an amount, and some other fields. I would like to sum the amounts per year, and display the trend between 2 years. It works fine when doing it from the Metabase UI. I sum the amount, group by year, apply a filter on the date to select the previous year (with including the current year), and it gives me the expected result.

image

Note that it seems that the filter on the date is optional, because when I remove it, I have exactly the same result (so I guess that by default, Metabase takes the most recent year and compares it with the previous one).

Now I convert the query into a native query, Metabase generates this. We can see that the filter has disappeared, but it's not a problem anyway.

[
  {
    "$group": {
      "_id": {
        "date~~~year": {
          "$let": {
            "vars": {
              "parts": {
                "$dateToParts": {
                  "timezone": "GMT",
                  "date": "$date"
                }
              }
            },
            "in": {
              "$dateFromParts": {
                "timezone": "GMT",
                "year": "$$parts.year"
              }
            }
          }
        }
      },
      "sum": {
        "$sum": "$feeNetAmount"
      }
    }
  },
  {
    "$sort": {
      "_id": 1
    }
  },
  {
    "$project": {
      "_id": false,
      "date~~~year": "$_id.date~~~year",
      "sum": true
    }
  },
  {
    "$sort": {
      "date~~~year": 1
    }
  }
]

Without changing anything to the automatically generated query, I can already realize that the Trend visualization is not available anymore (which I think is a bug, since it worked well before the conversion to native query). When I display the results in table format, I see this :
image

But when I try to select the Trend visualization, I have the error message "Group by a time field to see how this has changed over time", which is strange since I have well a date in the results.

The reason for which I want to use a native query is because I would like to make a dashboard which is a bit dynamic, and I would like the user to be able to choose the reference year, and display the trend between that year and the previous one.

I re-worked the native query to try to do that:

[
    {
        $match: {
            $or: [
                { $expr: {$eq: ["$year", {{year}} ] } },
                { $expr: {$eq: ["$year",{ $subtract: [ {{year}}, 1 ] }]} }
            ]
        }
    },
    {
        $addFields: {
            year_date: { 
                $convert: {
                    input: {$concat: [ {$toString: "$year"},"-01-01"]},
                    to: "date"
                }
            }
        }
    },
    {
        "$group": {
            "_id": "$year_date",
            "totalNBI": {"$sum": "$feeNetAmount"}
        }
    },
    {
        "$project": {
        "_id": true
        "totalNBI": true
        }
    },
    {
        "$sort": {
        "_id": 1
        }
    }
]

The user is then able to select a specific year (in number format). Based on that I first apply a filter on that year and the previous one. After that I add a new "fake" date based on the year (1st of January of the year), and then I sum the amounts, grouped by that fake year. In table format, it gives me this kind of result, which looks correct:
image

But when I try to select the Trend visualization, I have the same error message as above.
Could you confirm that it's well a bug ? (or suggest a solution if it's not ? ). For info, I'm using Metabase v0.44.6.
Thank you in advance.