This is odd because I'm not inserting data, I'm pulling data with a query.
I'm trying to run
SELECT DISTINCT description FROM products;
Which outputs the error "The field is too small to accept the amount of data you attempted to add.".
However, running the following doesn't produce the error:
SELECT description FROM products;
So I'm confused as to what the issue would be.
I'm using OleDbDataReader and taking data out of an mdb database file.
This might be related to: http://support.microsoft.com/kb/896950/us
This problem occurs because when you
set the UniqueValues query property to
Yes, a DISTINCT keyword is added to
the resulting SQL statement. The
DISTINCT keyword directs Access to
perform a comparison between records.
When Access performs a comparison
between two Memo fields, Access treats
the fields as Text fields that have a
255-character limit. Sometimes Memo
field data that is larger than 255
characters will generate the error
message that is mentioned in the
"Symptoms" section. Sometimes only 255
characters are returned from the Memo
field.
Workaround:
To work around this problem, modify
the original query by removing the
Memo field. Then, create a second
query that is based on both the table
and the original query. This new query
uses all the fields from the original
query, and this new query uses the
Memo field from the table. When you
run the second query, the first query
runs. Then, this data is used to run
the second query. This behavior
returns the Memo field data based on
the returned data of the first query.
Related
Is it possible to query just part of the name and get the data
Like I have data 12345678
can I somehow just search for 1234?
data.whereEqualsto("data", 1234);
This is needed because the last numbers changes and the first ones doesn't.
Is it possible to query just part of the name and get the data Like I have data 12345678 can I somehow just search for 1234?
Sure it is. When it comes to Firestore, you can simply use .startAt() as seen in the following query:
db.collection("collName").orderBy("data").startAt(1234);
When it comes to the Realtime Database, you can use .startAt() too, but as seen below:
db.child("nodeName").orderByChild("data").startAt(1234);
But remember, both queries will return elements that are greater than 1234. Since 12345678 is greater, it will be present in the result set.
Using Delphi 10.2, SQLite and Teecharts. My SQLite database has two fields, created with:
CREATE TABLE HistoryRuntime ('DayTime' DateTime, Device1 INTEGER DEFAULT (0));
I access the table using a TFDQuery called qryGrpahRuntime with the following SQL:
SELECT DayTime AS TheDate, Sum(Device1) As DeviceTotal
FROM HistoryRuntime
WHERE (DayTime >= "2017-06-01") and (DayTime <= "2017-06-26")
Group by Date(DayTime)
Using the Field Editor in the Delphi IDE, I can add two persistent fields, getting TheDate as a TDateTimeField and DeviceTotal as a TLargeIntField.
I run this query in a program to create a TeeChart, which I created at design time. As long as the query returns some records, all this works. However, if there are no records for the requested dates, I get an EDatabaseError exception with the message:
qryGrpahRuntime: Type mismatch for field 'DeviceTotal', expecting: LargeInt actual: Widestring
I have done plenty of searching for solutions on the web on how to prevent this error on an empty query, but have had not luck with anything I found. From what I can tell, SQLite defaults to the wide string field when no data is returned. I have tried using CAST in the query and it did not seem to make any difference.
If I remove the persistent fields, the query will open without problems on an empty return set. However, in order to use the TeeChart editor in the IDE, it appears I need persistent fields.
Is there a way I can make this work with persistent fields, or am I going to have to throw out the persistent fields and then add the TeeChart Series at runtime?
This behavior is described in Adjusting FireDAC Mapping chapter of the FireDAC's SQLite manual:
For an expression in a SELECT list, SQLite avoids type name
information. When the result set is not empty, FireDAC uses the value
data types from the first record. When empty, FireDAC describes those
columns as dtWideString. To explicitly specify the column data type,
append ::<type name> to the column alias:
SELECT count(*) as "cnt::INT" FROM mytab
So modify your command e.g. this way (I used BIGINT, but you can use any pseudo data type that maps to a 64-bit signed integer data type and is not auto incrementing, which corresponds to your persistent TLargeIntField field):
SELECT
DayTime AS "TheDate",
Sum(Device1) AS "DeviceTotal::BIGINT"
FROM
HistoryRuntime
WHERE
DayTime BETWEEN {d 2017-06-01} AND {d 2017-06-26}
GROUP BY
Date(DayTime)
P.S. I did a small optimization by using BETWEEN operator (which evaluates the column value only once), and used an escape sequence for date constants (which, in real you replace by parameter, I guess; so just for curiosity).
This data type hinting is parsed by the FDSQLiteTypeName2ADDataType procedure that takes and parses column name in format <column name>::<type name> in its AColName parameter.
I am running the following query on Google BigQuery web interface, for data provided by Google Analytics:
SELECT *
FROM [dataset.table]
WHERE
hits.page.pagePath CONTAINS "my-fun-path"
I would like to save the results into a new table, however I am obtaining the following error message when using Flatten Results = False:
Error: Cannot query the cross product of repeated fields
customDimensions.value and hits.page.pagePath.
This answer implies that this should be possible: Is there a way to select nested records into a table?
Is there a workaround for the issue found?
Depending on what kind of filtering is acceptable to you, you may be able to work around this by switching to OMIT IF from WHERE. It will give different results, but, again, perhaps such different results are acceptable.
The following will remove entire hit record if (some) page inside of it meets criteria. Note two things here:
it uses OMIT hits IF, instead of more commonly used OMIT RECORD IF).
The condition is inverted, because OMIT IF is opposite of WHERE
The query is:
SELECT *
FROM [dataset.table]
OMIT hits IF EVERY(NOT hits.page.pagePath CONTAINS "my-fun-path")
Update: see the related thread, I am afraid this is no longer possible.
It would be possible to use NEST function and grouping by a field, but that's a long shot.
Using flatten call on the query:
SELECT *
FROM flatten([google.com:analytics-bigquery:LondonCycleHelmet.ga_sessions_20130910],customDimensions)
WHERE
hits.page.pagePath CONTAINS "m"
Thus in the web ui:
setting a destination table
allowing large results
and NO flatten results
does the job correctly and the produced table matches the original schema.
I know - it is old ask.
But now it can be achieved by just using standard SQL dialect instead of Legacy
#standardSQL
SELECT t.*
FROM `dataset.table` t, UNNEST(hits.page) as page
WHERE
page.pagePath CONTAINS "my-fun-path"
So I'm transferring an old filemaker database to MySQL and some repeating fields are causing me some problems. I've read that the ODBC standard support those fields, only when their types is "Text" and that each repetition is concatenated with a certain delimiter (see page 47 (PDF)). However, I just can't reproduce this. All I get is the first repetition.
If I export the database to the .csv format, the fields are correctly concatenated, so I'm not completely stuck, but if possible, I'd like to be able to obtain the same result with the ODBC connection. Thanks!
With JDBC and Filemaker 12 I can access the repeating field using brackets as it was table beginning with index 1.
It should be the same in ODBC.
Of course I recommend to normalize but it can help to know there is other options.
In my experience the documentation about repeating fields is a lie. :)
If you can get it to work, please, please post an answer. But I imagine you'll have to do the workaround using the csv export.
My recommendation regarding this would be to normalize the repeating fields to a separate table within FileMaker and then perform the transfer of the data. You can create a related table in FileMaker and then use a script to populate the table with the repeating field values. Let me know if you need assistance writing such a script.
I want to provide details about #Signix answer above. I was able to fetch repeating fields from JDBC but it's tricky. At page 30 of FileMaker "ODBC and JDBC Guide", it states:
Note FileMaker repeating fields are supported like arrays.
Example
INSERT INTO mytable(repField[3]) VALUES (‘this is rep 3’)
SELECT repField[1], repField[2] FROM mytable
This is the only documentation! So in theory you could use this query:
ResultSet resultSet = fmStatement.executeQuery("SELECT id, repField[1], repField[2] FROM mytable");
But the tricky part is getting the results. The only way seems to use the column index.
System.out.println(resultSet.getString("repField[1]")); // fails, throws FMSQLException
System.out.println(resultSet.getString("repField[2]")); // fails, throws FMSQLException
System.out.println(resultSet.getString("repField")); // returns repField[1]
System.out.println(resultSet.getString(2)); // returns repField[1]
System.out.println(resultSet.getString(3)); // returns repField[2]
I think the reason is because fields are being named without their bracket parts.
System.out.println(resultSet.getMetaData().getColumnName(1)); // returns "id"
System.out.println(resultSet.getMetaData().getColumnName(2)); // returns "repField"
System.out.println(resultSet.getMetaData().getColumnName(3)); // returns "repField"
So when using resultSet.getString("repField") it returns the first column value with that name. It's stupid but it works.
I currently have multiple queries that query data from a few tables linked through ODBC, and some temporary tables that are edited through the user interface. I have complex criteria in my queries such as:
SELECT * from ThingsData
WHERE (Thing In(SELECT Thing from ListOfThings) AND getThingFlag() = True);
In this case Thing is a field and ListOfThings is a temporary table that the user defines from the user interface. Basically, the user puts together a list of the field Thing that he/she wants to filter the data based on and I want to query only the data that matches the Thing values that the user adds to his/her list. Currently, the data I am querying is in the linked ODBC table, and the temp table ListOfThings is just a regular, local table and everything works peachy. I want to get rid of the linked table and use a pass through query instead. However, when i do that, unless the criteria is incredibly simplistic, i get an error:
"ODBC--Call Failed. Invalid object name ListOfThings."
If I dont have any criteria it works fine.
Long story short: In a pass through query, how do I apply criterias that include SELECTs and functions from my modules and just basically filter the pass through table based on data from my local tables?
What is at the other end of that ODBC link? In a pass-through query you will have to honor the syntax required by the database server, not Access syntax. I would first suspect that you can't have mixed case table names and I would try listofthings as the name.
If you have a tool that can be used to test queries directly against the database server, get the query working there and then simply cut and paste it into an Access pass-through query.