Syntax error at or near sql что это

Syntax errors are quite common while coding.

But, things go for a toss when it results in website errors.

PostgreSQL error 42601 also occurs due to syntax errors in the database queries.

At Bobcares, we often get requests from PostgreSQL users to fix errors as part of our Server Management Services.

Today, let’s check PostgreSQL error in detail and see how our Support Engineers fix it for the customers.

What causes error 42601 in PostgreSQL?

PostgreSQL is an advanced database engine. It is popular for its extensive features and ability to handle complex database situations.

Applications like Instagram, Facebook, Apple, etc rely on the PostgreSQL database.

But what causes error 42601?

PostgreSQL error codes consist of five characters. The first two characters denote the class of errors. And the remaining three characters indicate a specific condition within that class.

Here, 42 in 42601 represent the class “Syntax Error or Access Rule Violation“.

In short, this error mainly occurs due to the syntax errors in the queries executed. A typical error shows up as:

Here, the syntax error has occurred in position 119 near the value “parents” in the query.

How we fix the error?

Now let’s see how our PostgreSQL engineers resolve this error efficiently.

Recently, one of our customers contacted us with this error. He tried to execute the following code,

CREATE OR REPLACE FUNCTION prc_tst_bulk(sql text)
RETURNS TABLE (name text, rowcount integer) AS
$$
BEGIN
WITH m_ty_person AS (return query execute sql)
select name, count(*) from m_ty_person where name like '%a%' group by name
union
select name, count(*) from m_ty_person where gender = 1 group by name;
END
$$ LANGUAGE plpgsql;

But, this ended up in PostgreSQL error 42601. And he got the following error message,

ERROR: syntax error at or near "return"
LINE 5: WITH m_ty_person AS (return query execute sql)

Our PostgreSQL Engineers checked the issue and found out the syntax error. The statement in Line 5 was a mix of plain and dynamic SQL. In general, the PostgreSQL query should be either fully dynamic or plain. Therefore, we changed the code as,

RETURN QUERY EXECUTE '
WITH m_ty_person AS (' || sql || $x$)
SELECT name, count(*)::int FROM m_ty_person WHERE name LIKE '%a%' GROUP BY name
UNION
SELECT name, count(*)::int FROM m_ty_person WHERE gender = 1 GROUP BY name$x$;

This resolved the error 42601, and the code worked fine.

[Need more assistance to solve PostgreSQL error 42601?- We’ll help you.]

Conclusion

In short, PostgreSQL error 42601 occurs due to the syntax errors in the code. Today, in this write-up, we have discussed how our Support Engineers fixed this error for our customers.

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8 Tips Absolute Beginners Can Use to Fix SQL Queries

Code errors are common – and frustrating. And when you’re just learning SQL, it can be very challenging to find and fix your mistakes. In this post, we’ll show you eight ways to solve or eliminate common SQL coding errors.

Today, we’ll talk about some tips the SQL beginner can use to avoid several common errors. These tips work in any database environment. As we go along, we’ll be showing some error messages. The exact wording of your error messages may be a little different, but don’t worry; each database engine has their own variants, but the meaning is the same.

That being said, we won’t be focusing on error messages. Instead, we’ll pinpoint the actual cause of the problem (such as forgetting a parenthesis or a quotation mark). This way, you’ll learn how to bypass the issue in the first place.

Ready? Let’s begin!

1. Place Open and Close Parentheses First

Remembering the closing character is key to eliminating unbalanced parentheses, quotes, double quotes, or square brackets. Best practices suggest typing both characters first (open and close) and then typing whatever goes inside.

The following example shows an error when parentheses are not balanced:

Example 1: Unbalanced parentheses

2. Don’t Put a Comma at the End of a Column or Table Sequence

Commas act as a separator in SQL. There should not be any commas between FROM and the first table name or after the final table name. The same idea applies to column definition: when you create a table, be sure not to type an extra comma after the final column name.

This is a really common error.

Example 2: An extra comma

3. Use Partial Query Evaluation to Debug Long SQL Queries

Many SQL clients like Navicat or pgAdmin allow the partial execution of a query. You can do this by using your mouse to highlight part of the code. Using this divide-and-conquer technique, you can easily isolate and fix errors. Obviously, the marked part must be valid SQL.

The upcoming query has two errors. If we execute the opening line of the query, we can see the first problem. (Hint: the «llastname» column doesn’t exist.)

Example 3: An incorrect column name

However if we execute the complete SQL statement, we get an error related to unbalanced parentheses:

Example 4: Subquery with wrong parentheses

We can also mark a subquery and execute it individually, as in the next example:

Example 5: Incorrect function name

4. Pay Attention to Column and Table Names

Pay very close attention when typing column names or table names. If possible, try to copy and paste the name from a command you know is correct – preferably one that’s already executed properly. Best practices suggest copying and pasting names even if you think it’s more time-consuming than typing.

Having a misspelled column name or referring to a column in a table not in the FROM clause is very common indeed. Always look for typos in the column name, make sure the table in the FROM has this column, and make sure that the table is mentioned in FROM .

Example 6: Incorrect table name

Another good practice is to use a table alias or a table name as a column prefix. This is doubly important when you have two or more tables in the <>FROM clause. The following error can appear if you refer to two identically-named columns in different tables:

Example 7: Ambiguous column names

Example 8: Prefixed column names

To fix these errors, add the table name before the column name. (In the above example, that would be employee.depto_id and department.depto_id instead of just depto_id .)

5. Compare Compatible Data Types Only

When you write comparison conditions in the WHERE clause, make sure both data types are compatible with the comparison operator and with each other. If this is not possible, you may have to cast one of the data types. The general rule is to compare numbers against numbers, character strings against character strings, etc.

Some database systems automatically convert data types where possible; others provide enhanced data type conversions (i.e. a TIMESTAMP value can be automatically converted to a DATE before comparisons). Still other database services don’t offer conversions at all. So it is best to look out for these potential issues yourself.

Anyway, the following SQL code gets a data mismatch error because a CHAR string is being compared with an integer value:

Example 9: Mismatched data types

No operator matches the given name and argument type(s). You might need to add explicit type casts to solve this one.

6. Use IS NULL When Comparing NULL Values

If you only need to verify whether a column has a NULL value, pay special attention to which expressions you use. One common mistake is to use = NULL or <> NULL , but these expressions are not syntactically valid. Use IS NULL and IS NOT NULL clauses instead.

Let’s see the incorrect and correct samples:

Example 10: Incorrect NULL comparison

Example 11: Correct NULL comparison

7. Always Include the JOIN Condition

There is more than one valid way to do a join in SQL. The traditional way is to list all the tables to be joined in the FROM clause and put the join conditions in the WHERE clause to build pairs of records. The other (more declarative) way is to use the JOIN clause and list the join conditions after the ON clause. Both are syntactically equivalent, but you should know how to identify the join condition for both.

Here we have two valid joins:

Example 12: Two equivalent joins

However, the tip is: Don’t forget the join condition! Every time you join two or more tables, you must write a join condition to link both tables. If you don’t specify this, you won’t get an error message; you’ll just get incorrect results. These will be wrong because every record from the first table will be joined with all records of the second table. This type of result set is called a Cartesian product of two tables, and usually is not an expected result.

Example 13: A Cartesian product – usually not the result you want

8. Include Non-Aggregated Columns from the SELECT List in GROUP BY Columns

When using aggregate functions, there are some restrictions on what columns can be included in the SELECT list (i.e. the column names after the SELECT clause). You can only include the columns specified in the GROUP BY clause, plus aggregate functions and constants. If you select only aggregate columns, any other column will generate an error. You can see this in the following example.

Example 14: Extra columns in the SELECT list

Example 15: No extra columns in the SELECT list

Sometimes we need to filter data by using an aggregation function. One of the most common mistakes is to put a condition using the aggregate function in the WHERE clause. This is shown below:

Example 16: Incorrect aggregate function in the WHERE

Remember, if you need to filter using an aggregate function, the correct way is to put the condition using the aggregate in the HAVING clause, as in the following example:

Example 17: The aggregate function is in the HAVING clause

Try It Yourself!

LearnSQL is a great place to get started with SQL. Several courses are geared for beginning learners. You can test the tips in this article on the exercises in this SQL course.

Источник

SQL Error: «Syntax error at or near:»

Last tested: Feb 2021

Overview

This SQL error generally means that somewhere in the query, there is invalid syntax.
Some common examples:

• Using a database-specific SQL for the wrong database (eg BigQuery supports DATE_ADD, but Redshift supports DATEADD)
• Typo in the SQL (missing comma, misspelled word, etc)
• Missing a sql clause (missed from, join, select, etc)
• An object does not exist in the database or is not accessible from the current query (eg referencing orders.id when there is no orders table joined in the current query, etc)

In some circumstances, the database error message may display extra detail about where the error was raised, which can be helpful in narrowing down where to look.

Error Message

SQL ERROR: syntax error at or near

Troubleshooting

This should generally be the first step to troubleshoot any SQL syntax error in a large query: iteratively comment out blocks of SQL to narrow down where the problem is.

TIP: To make this process easier, change the group by clause to use position references
eg: group by 1,2,3,4,5 instead of group by orders.status, orders.date, to_char(. ).
as well as separate the where and having clauses onto multiple lines.

So for example, say we have the following query:

We could start by running just the portion in the CTE:

Then strip out the aggregates and portions related to them

Iteratively stripping out / adding back in portions of the query until you find the minimum query to trigger the error.

Lookup functions and syntax If the query is small enough, or if we’ve narrowed the scope enough with 1, google all the functions used in the query and verify that they exist and are being used correctly.

Verify all objects exist Verify that you’ve joined all tables used in the select, where, and having clause, and that those tables exist in the db. Once we’ve narrowed things down from 1, also check that each column exists in the table specified.

Overview

This SQL error generally means that somewhere in the query, there is invalid syntax.
Some common examples:

• Using au00a0database-specific SQL for the wrong database (eg BigQuery supports DATE_ADD, but Redshift supports DATEADD) t
• Typo in theu00a0SQL (missing comma, misspelled word, etc) t
• Missing a sql clause (missed from, join, select, etc) t
• An object does not exist in the databaseu00a0or is not accessible from the current query (eg referencing orders.id when there is no orders table joined in the current query, etc)

In some circumstances, the database error message may display extra detail about where the error was raised, which can be helpful in narrowing down where to look.

Error Message

SQL ERROR: syntax error at or near

Troubleshooting

This should generally be the first step to troubleshoot any SQL syntax error in a large query:u00a0iteratively comment out blocks of SQL to narrow down where the problem is.

TIP: To make this process easier, change the group by clause to use position references
eg:u00a0 group by 1,2,3,4,5 instead of group by orders.status, orders.date, to_char(. ).
as well as separate the where and having clauses onto multiple lines.

So for example, say we have the following query:

WITH cte AS (
select id, status, sales_amountfrom orders
)
select status, foo.date, sum(cte.sales_amount), count(*) from cte
join foo on cte.date = foo.date
group by status, foo.date
order by 3 desc

We could start by running just the portion in the CTE:

— WITH cte AS (
select id, status, sales_amountfrom orders
— )
— select status, foo.date, sum(cte.sales_amount), count(*)
— from cte
— join foo on cte.date = foo.date
— group by 1, 2
— order by 3 desc

Then strip out the aggregates and portions related to them

WITH cte AS (
select id, status, sales_amountfrom orders
)
select status, foo.date, — sum(cte.sales_amount), count(*)
from cte
join foo on cte.date = foo.date
— group by 1, 2
— order by 3 desc

Iteratively stripping out / adding back in portions of the query until you find the minimum query to trigger the error.

t

Lookup functions and syntax u00a0If the query is small enough, or if we’ve narrowed the scope enough with 1, google all the functions used in the query and verify that they exist and are being used correctly. t t
t

  Last tested: Feb 2021

Overview

This SQL error generally means that somewhere in the query, there is invalid syntax.
Some common examples:

• Using a database-specific SQL for the wrong database (eg BigQuery supports DATE_ADD, but Redshift supports DATEADD)
• Typo in the SQL (missing comma, misspelled word, etc)
• Missing a sql clause (missed from, join, select, etc)
• An object does not exist in the database or is not accessible from the current query (eg referencing orders.id when there is no orders table joined in the current query, etc)

In some circumstances, the database error message may display extra detail about where the error was raised, which can be helpful in narrowing down where to look.

Error Message

SQL ERROR: syntax error at or near

Troubleshooting

This should generally be the first step to troubleshoot any SQL syntax error in a large query: iteratively comment out blocks of SQL to narrow down where the problem is.

TIP: To make this process easier, change the group by clause to use position references
eg: group by 1,2,3,4,5 instead of group by orders.status, orders.date, to_char(...)...
as well as separate the where and having clauses onto multiple lines.

So for example, say we have the following query:

play_arrow

WITH cte AS (
select id, status, sales_amountfrom orders
)
select status, foo.date, sum(cte.sales_amount), count(*) from cte
join foo on cte.date = foo.date
group by status, foo.date
order by 3 desc

We could start by running just the portion in the CTE:

play_arrow

-- WITH cte AS (
select id, status, sales_amountfrom orders
-- )
-- select status, foo.date, sum(cte.sales_amount), count(*)
-- from cte
-- join foo on cte.date = foo.date
-- group by 1, 2
-- order by 3 desc

Then strip out the aggregates and portions related to them

play_arrow

WITH cte AS (
    select id, status, sales_amountfrom orders
)
select status, foo.date, -- sum(cte.sales_amount), count(*)
from cte
join foo on cte.date = foo.date
-- group by 1, 2
-- order by 3 desc

Iteratively stripping out / adding back in portions of the query until you find the minimum query to trigger the error.

• Lookup functions and syntax If the query is small enough, or if we’ve narrowed the scope enough with 1, google all the functions used in the query and verify that they exist and are being used correctly.

• Verify all objects exist Verify that you’ve joined all tables used in the select, where, and having clause, and that those tables exist in the db. Once we’ve narrowed things down from 1, also check that each column exists in the table specified.