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Description of problem:

python3-dnf use in Python code seems to result in a pretty severe memory leak. Not sure as to what causes this.

Example code:


```
import dnf

for i in range(0, 1000):
    with dnf.Base() as dnf_base:
        dnf_base.fill_sack()
```

Above code results in a steady increase in memory use after about 10-20 cycles, for ~0.5MB/5-10seconds.

Invoking `dnf_base.read_all_repos()` before fill_sack leaks even more - ~5-8MB per cycle depending on the system.

```
with dnf.Base() as dnf_base:
    dnf_base.read_all_repos()
    dnf_base.update_cache()
    dnf_base.fill_sack()
```

Version-Release number of selected component (if applicable):

4.2.17-7.el8_2

How reproducible: pretty reproducible.


Steps to Reproduce:
1. Execute code above
2. Measure memory use of the process


Actual results: memory use increases steadily and indefinitely


Expected results: memory use does not increase.


Additional info: N/A

Thank you for the report, I believe that the memory leaks you mentioned are resolved by PRs:
https://github.com/rpm-software-management/libdnf/pull/984
https://github.com/rpm-software-management/libdnf/pull/1001

In addition I made this small PR:
https://github.com/rpm-software-management/dnf/pull/1671
that should fix few different leaks (reproduced when using security filters, such as --security, and some dnf plugins)

Since the problem described in this bug report should be
resolved in a recent advisory, it has been closed with a
resolution of ERRATA.

For information on the advisory (dnf bug fix and enhancement update), and where to find the updated
files, follow the link below.

If the solution does not work for you, open a new bug report.

https://access.redhat.com/errata/RHBA-2021:1657