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Graph/sql-json-shaping-mismatch

AntiPattern

SQL JSON Shaping Mismatch

sql-json-shaping-mismatch

JSONB/JSON set-based operations fail because queries build the wrong row shape or cast/merge JSON with non-matching types, causing subqueries to collapse to one row, arrays to become scalar lists, or updates to overwrite instead of merge.

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Updated7/25/2026

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30 linked nodes

MATCHESSolution

Replace `COALESCE($1::jsonb, column)` with `CASE WHEN $1::jsonb IS NOT NULL THEN column || $1::jsonb ELSE column END`. — in a PostgreSQL UPDATE. Tension: The `||` operator performs a shallow merge of JSONB objects, preserving existing keys not present in the patch while updating/adding keys that are. Outcome: The `||` operator performs a shallow merge of JSONB objects.

MATCHESSolution

You can get rid of this TypeScript issue by casting the column definition arrays — when defining columns.

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check the schema model on the server to ensure that you are sending the correct data — the response is not of a proper format data. Tension: including the required fields like id. Outcome: you can define useMutation for get some correct error.

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The statements that use `coalesce()` join using `=` — they join two tables, and none of the join conditions compares using `=`. Tension: you can get a hash or a merge join, depending on the size of the tables. Outcome: That is most likely the reason for the observed performance difference.

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my defines were missing `JSON.stringify`. Tension: The answer was totally unrelated. Outcome: Error is completely misleading, but at least its solved.

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You can stringify the array before making the insert — `const aliases = JSON.stringify([...])`. Outcome: then when you read simply parse the string.

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Define services as JSONB — using SQLAlchemy and PostgreSQL. Tension: I need to filter results based on a value in a JSON array column. Outcome: query = query.filter(professional_model.Professional.services.op('@>')(cast(func.to_jsonb([filters['services']]), JSONB))).

MATCHESSolution

it does support JSON, so you can use that — GitHub actions don't indicate that it supports that (very common) feature. Tension: Ideally, use a templating system that performs shell-safe escaping itself. Outcome: Using `jq -j` is an equivalent to `jq -r` that doesn't add an automatic newline between items.

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best to use the final stage of any query to coalesce the files to a small number of larger ones — For anyone curious about ORC/Parquet IO in cloud. Outcome: aim for 256MB or more per file.

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More complex, multi-statement queries, or things like `insert..on conflict` and `merge`.

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If you want to use jOOQ API for these two things, use the above functions. — `->>` which translates to `jsonGetAttributeAsText`. Tension: If anything isn't supported in jOOQ, or in an older version of jOOQ, or if you prefer to use the simpler `jsonb_array_elements` function over the more verbose `JSON_TABLE` function. Outcome: just use plain SQL templates, as always.

MATCHESSolution

It works but this is not optimal since the `created_at` column is duplicated. — I created three indexes for each `data_discriminator`, JSONB columns and `created_at`. Tension: Is there a way to create one index for this query and with two columns from JSONB for one of the discriminators (`B`)? Outcome: Or is there a more optimal approach to indexing this case?

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`ST_Transform()` it works — `ST_Transform_Resilient()` by `ST_Transform()`. Tension: `SET work_mem TO '2048MB'`.

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Please try adding this piece of code `NpgsqlConnection.GlobalTypeMapper.EnableDynamicJson();` — as mentioned in this page https://www.npgsql.org/doc/types/json.html?tabs=global.

MATCHESSolution

You may use `jsonb_agg` instead of `array_agg` — have the list as a JSON array. Tension: if this is more relevant to your case.

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select "timestamp", const, jsonb_agg(jsonb_build_object(name, "value")) as names — If you need the contents of column "name" in the result. Outcome: the result may be a JSON array of objects.

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Cast the function result to jsonb when calling jsonb_path_query(), e.g. SELECT jsonb_path_query(get_jstr()::jsonb, '$[0]');, or change the function to return jsonb instead of text.

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source is MongoDB and target is Redshift. Tension: I am unable to get the correct query. Outcome: tried using the regex to remove the string part in the format1.

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Join the table to a per-row json_to_recordset call using a lateral table function, e.g. SELECT json_array_elements(x.codes)->>'code' FROM my_table mt, json_to_recordset(mt.json_column->'findings') AS x(codes json);.

MATCHESSolution

Please help me to achieve this. — I need to update a jsonb object in PostgreSQL. Tension: correct syntax for updating the same.

MATCHESSolution

Aggregate the keys to delete into a single text[] per row (e.g., array_agg of b_value grouped by a) and then subtract that array from the jsonb column in one UPDATE using a CTE or derived table.

MATCHESSolution

Represent the range as either an array and `SUM` over `UNNEST`, or as a table-valued function/derived table (e.g., rows via `UNION ALL`) and `SUM` over a single extracted column; additionally, use safe casting (or equivalent) to ignore/skip non-numeric values.

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Define a composite type (e.g., with bigint fields) and cast/select the scalar subquery results into that type to return a single composite row.

MATCHESSolution

Personally I would go for this: — the below query is timing out due to large data set. Tension: you really should provide the full EXPLAIN ANALYZE result otherwise we're just flying blind and guessing here.

MATCHESSolution

use `Seqlelize.Op.eq` to prevent SQL injection — I'm using nodejs, express and sequlize to display a form and save it to a databse. Tension: or should some other technique (such as normalize) also be used? Outcome: Also is there something else I need to watch out for?

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Use `LONGTEXT` to handle large JSON. Tension: Data too long for column 'value'. Outcome: ALTER TABLE your_table MODIFY COLUMN value LONGTEXT.

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the solution shown below — exceeding the SQL parameter limit. Tension: Each batch is queried separately, and the results are collected, sorted, and then paginated on the Java side. Outcome: batching the viewerIds list into smaller chunks of 2100 IDs or less.

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for OAS 3.0.x which uses a variation of JSON Schema draft-04 — for OAS 3.1.x which uses JSON Schema 2020-12.

MATCHESSolution

`WHERE json_extract(attrs_json,'$.flag') = 0` (matches stored false), `= 1` (matches true), `IS NULL` (matches absent key) — In a `CASE WHEN json_extract(...) = 0 THEN ... ELSE ...`. Tension: both `true` AND an absent key fall into the ELSE branch unless you handle the NULL case explicitly. Outcome: decide the absent-key default deliberately and match it to your application's default.

MATCHESSolution

Type.Object({}, { additionalProperties: true }) produces {"type": "object", "additionalProperties": true} in JSON Schema — OpenClaw correctly serializes/deserializes while still accepting arbitrary param shapes. Outcome: pnpm typecheck passes (6/6 tasks).

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