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adapted queries in preparation of regular meeting

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This commit is contained in:
Florian Förster 2025-12-11 11:30:48 +01:00
parent 6a7ccb8e27
commit 4af438513d
3 changed files with 300 additions and 14 deletions
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39
data_analysis/02-3_oracle_workflow_test.py
View File

@ -92,6 +92,9 @@ join_condition = sql.and_(
db.ext_bedpbed.c.BEDP_TITELNR == db.EXT_AUFPAUF.c.TITELNR,
db.ext_bedpbed.c.BEDP_MAN == db.EXT_AUFPAUF.c.MANDANT,
)
join_condition = sql.and_(
db.ext_bedpbed.c.BEDP_TITELNR == db.EXT_AUFPAUF.c.TITELNR,
)
where_condition = sql.and_(
db.EXT_AUFPAUF.c.AUFTRAGS_DATUM > start_date,
db.EXT_AUFPAUF.c.KUNDE_RECHNUNG.not_in(filter_K_rech),
@ -214,13 +217,23 @@ df.head()
# %%
# // NO LIVE DATA NEEDED
# SAVING/LOADING
p_save = Path.cwd() / "raw_data_from_sql_query_20251203-3.arrow"
p_save = Path.cwd() / "raw_data_from_sql_query_20251211-1.arrow"
# df.write_ipc(p_save)
df = pl.read_ipc(p_save)
# %%
print(len(df))
df.head()
# %%
# ** CHECK: unique title number?
df.with_columns(titlenumber_count=pl.col("BEDP_TITELNR").count().over("BEDP_TITELNR")).select(
["BEDP_TITELNR", "titlenumber_count"]
).unique().filter(pl.col("titlenumber_count") > 1)
# %%
# ** CHECK: distribution of MELDENUMMER
df.filter(pl.col("MELDENUMMER").is_not_null() & pl.col("MELDENUMMER").is_in((17, 18))).select(
pl.len()
)
# %%
# ** CHECK: differences MANDANT in BEDP and in TINFO
# 4591588: in title database with different MANDANT (are MANDANTFUEHR and BEDP_MAN feasible for matching?)
df.filter(pl.col("BEDP_MAN") != pl.col("MANDFUEHR")).select(pl.col("BEDP_MAN").unique())
@ -253,7 +266,8 @@ df.filter(pl.col("BEDP_MAN") == 60).filter(pl.col("MANDFUEHR").is_null())
# ).null_count()
# )
# print("Unique value counts: ", df.select(pl.col("BEDP_MAN").value_counts()))
# %%
df.filter(pl.col("MELDENUMMER").is_null()).filter(pl.col("MANDFUEHR").is_not_null())
# %%
# ** PREFILTER
# always needed, entries filtered out are to be disposed
@ -286,7 +300,7 @@ agg_t = (
# .filter(pl.col("count_customer") >= 0) # !! should be 3
) # .filter(pl.col("MELDENUMMER") == 18)
agg_t
# %%
df.filter(pl.col("MELDENUMMER") == 18).select(pl.col("MENGE_VORMERKER").is_null().sum())
# %%
@ -302,11 +316,15 @@ df.filter(pl.col("BEDP_MENGE_BEDARF_VM") > pl.col("MENGE_VORMERKER"))
not_in_title_table = df.filter(pl.col("MELDENUMMER").is_null())
EXPORT_FEAT = "BEDP_TITELNR"
to_save = {EXPORT_FEAT: not_in_title_table.select(EXPORT_FEAT).to_series().to_list()}
p_save_not_in_title_table = Path.cwd() / "not_in_title_table_20251203-2.json"
p_save_not_in_title_table = Path.cwd() / "not_in_title_table_20251211-1.json"
print(to_save)
# with open(p_save_not_in_title_table, "w") as file:
# json.dump(to_save, file, indent=4)
# %%
df.group_by("BEDP_MAN").agg(pl.len())
# %%
df.filter(pl.col("MELDENUMMER").is_null()).group_by("BEDP_MAN").agg(pl.len().alias("count"))
# %%
print(len(df.filter(pl.col("MELDENUMMER") == 18)))
# df.filter(pl.col("MELDENUMMER") == 18).filter((pl.col("BEDP_MENGE_BEDARF_VM").is_not_null()) & (pl.col("BEDP_MENGE_BEDARF_VM") > 0))
# %%
@ -452,7 +470,7 @@ def workflow_900(
def workflow_910(
pipe_result: types.PipelineResult,
) -> types.PipelineResult:
filter_mandant = pl.col("BEDP_MAN").is_in((1, 90))
filter_mandant = pl.col("MANDFUEHR").is_in((1, 90))
filter_ignore_MNR26 = pl.col("MELDENUMMER") != 26
res = _apply_several_filters(
@ -483,7 +501,7 @@ def workflow_100_umbreit(
vm_criterion: str,
) -> types.PipelineResult:
filter_meldenummer = pl.col("MELDENUMMER") == 18
filter_mandant = pl.col("BEDP_MAN") == 1
filter_mandant = pl.col("MANDFUEHR") == 1
filter_number_vm = pl.col(vm_criterion) > 0
res = _apply_several_filters(
@ -515,7 +533,7 @@ def workflow_100_petersen(
# // WDB branch
filter_meldenummer = pl.col("MELDENUMMER") == 18
filter_mandant = pl.col("BEDP_MAN") == 90
filter_mandant = pl.col("MANDFUEHR") == 90
filter_WDB = pl.col("VERLAGSNR").is_in((76008, 76070))
filter_number_vm = pl.col(vm_criterion) > 0
@ -540,7 +558,7 @@ def workflow_100_petersen(
# order quantity 0, no further action in other WFs
filter_meldenummer = pl.col("MELDENUMMER") == 18
filter_mandant = pl.col("BEDP_MAN") == 90
filter_mandant = pl.col("MANDFUEHR") == 90
filter_WDB = pl.col("VERLAGSNR").is_in((76008, 76070))
filter_number_vm = pl.col(vm_criterion) == 0
@ -565,7 +583,7 @@ def workflow_100_petersen(
# // other branch
filter_meldenummer = pl.col("MELDENUMMER") == 18
filter_mandant = pl.col("BEDP_MAN") == 90
filter_mandant = pl.col("MANDFUEHR") == 90
filter_number_vm = pl.col(vm_criterion) > 0
res = _apply_several_filters(
@ -591,7 +609,7 @@ def workflow_100_petersen(
# %%
# SAVING/LOADING
p_save = Path.cwd() / "raw_data_from_sql_query_20251203-3.arrow"
p_save = Path.cwd() / "raw_data_from_sql_query_20251211-1.arrow"
df = pl.read_ipc(p_save)
print(f"Number of entries: {len(df)}")
@ -648,7 +666,6 @@ pipe_res.results
# raw_data.filter(pl.col("BEDARFNR") == 166982).filter(pl.col("BEDP_SEQUENZ") == 1)
# %%
pipe_res.open.filter(pl.col("BEDP_MENGE_BEDARF_VM") > pl.col("MENGE_VORMERKER"))
# print(f"Base data and pipe result in line: {}")
# %%
pipe_res = workflow_910(pipe_res)
print(f"Length of base data: {len(raw_data):>18}")

175
data_analysis/not_in_title_table_20251211-1.json Normal file
View File

@ -0,0 +1,175 @@
{
"BEDP_TITELNR": [
5641810,
9388245,
5690882,
8420618,
5625063,
4894841,
8047302,
7133112,
5355081,
6871073,
9435273,
4136531,
7687300,
2682366,
4364686,
2430598,
2037163,
2789480,
2770577,
2787037,
6003708,
4407203,
8776286,
5402902,
5838480,
4522891,
3980696,
950637,
4965472,
4228186,
4210552,
5002965,
5545604,
5880206,
2241251,
6370663,
7683723,
7010822,
5161076,
4147313,
5793208,
7907745,
4261009,
2717881,
6067021,
4365985,
8040512,
8890058,
1780135,
7262230,
4410469,
9000191,
6444167,
4948035,
252810,
4976957,
6135037,
5989608,
5729058,
4395070,
5625122,
7888648,
6110254,
9787272,
4336175,
5497657,
2793591,
6893056,
3030639,
7010792,
5491873,
258070,
3853173,
6046715,
6125576,
1504007,
4262953,
7935360,
922162,
1049053,
9720614,
5591810,
2544914,
2107970,
2285493,
8594367,
7966115,
7966119,
7580940,
6261428,
3370678,
6132326,
8254295,
8254294,
6261430,
4838001,
8139591,
8139588,
8139587,
8139586,
8139585,
8254301,
3369002,
4836770,
4836769,
4838000,
6132323,
6178366,
6178370,
6178371,
4837537,
6132318,
6132322,
5227665,
5227661,
2837820,
4836779,
3370676,
9436407,
4012212,
4427503,
4577066,
9418557,
2008168,
7580941,
6086598,
6132319,
8139590,
8630511,
7965895,
3408132,
5227666,
5989581,
5132452,
4424591,
7055141,
2770583,
2770591,
9037465,
5700267,
4837536,
4267436,
4121829,
717868,
6633287,
5335386,
4836777,
4154513,
2770540,
5730873,
6160255,
6939447,
5545606,
6178367,
2010002,
5494490,
9206119,
5227663,
3369003,
3030637,
7414855,
7945698,
5514005,
2537012,
4263003,
3408130,
6924305,
7966118,
139058,
4250548,
2770562
]
}

100
data_analysis/queries.sql
View File

@ -34,6 +34,100 @@ set timing on
-- AND bedp.BEDP_MAN = t_info.MANDFUEHR;
-- -- WHERE bedp.BEDP_MAN IN (1, 90) AND t_info.MELDENUMMER != 26;
-- PROMPT ######################################
PROMPT #################################################
-- SELECT COUNT(*) FROM (
-- SELECT /*+ NO_USE_HASH(bedp t_info) */
-- view1.BEDP_TITELNR,
-- t_info.MELDENUMMER,
-- t_info.VERLAGSNR,
-- t_info.MANDFUEHR
-- FROM
-- (SELECT DISTINCT bedp.BEDP_TITELNR FROM EXT_BEDPBED bedp) view1
-- LEFT JOIN EXT_TITEL_INFO t_info
-- ON view1.BEDP_TITELNR = t_info.TI_NUMMER
-- ) sub1 WHERE sub1.MANDFUEHR IN (1,90) AND sub1.MELDENUMMER in (17, 18);
-- SELECT * FROM (
-- SELECT * FROM (
-- SELECT /*+ NO_USE_HASH(bedp t_info) */
-- view1.BEDP_TITELNR,
-- t_info.MELDENUMMER,
-- t_info.VERLAGSNR,
-- t_info.MANDFUEHR
-- FROM
-- (SELECT DISTINCT bedp.BEDP_TITELNR FROM EXT_BEDPBED bedp) view1
-- LEFT JOIN EXT_TITEL_INFO t_info
-- ON view1.BEDP_TITELNR = t_info.TI_NUMMER
-- ) sub1 WHERE sub1.MANDFUEHR IN (1,90) AND sub1.MELDENUMMER in (17, 18)
-- ) titles
-- JOIN EXT_AUFPAUF auf
-- ON titles.BEDP_TITELNR = auf.TITELNR
-- WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-12-05', 'YYYY-MM-DD')
-- FETCH FIRST 20 ROWS ONLY;
-- DESC EXT_AUFPAUF;
-- ##############################
SELECT AUFTRAGS_ART, COUNT(*) AS anzahl FROM (
SELECT * FROM (
SELECT * FROM (
SELECT /*+ NO_USE_HASH(bedp t_info) */
view1.BEDP_TITELNR,
t_info.MELDENUMMER,
t_info.VERLAGSNR,
t_info.MANDFUEHR
FROM
(SELECT DISTINCT bedp.BEDP_TITELNR FROM EXT_BEDPBED bedp) view1
LEFT JOIN EXT_TITEL_INFO t_info
ON view1.BEDP_TITELNR = t_info.TI_NUMMER
) sub1 WHERE sub1.MANDFUEHR IN (1,90) AND sub1.MELDENUMMER in (17, 18)
) titles
JOIN EXT_AUFPAUF auf
ON titles.BEDP_TITELNR = auf.TITELNR
WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-09-05', 'YYYY-MM-DD')
)
GROUP BY AUFTRAGS_ART
ORDER BY anzahl DESC;
PROMPT >>
SELECT EINGANGS_ART, COUNT(*) AS anzahl FROM (
SELECT * FROM (
SELECT * FROM (
SELECT /*+ NO_USE_HASH(bedp t_info) */
view1.BEDP_TITELNR,
t_info.MELDENUMMER,
t_info.VERLAGSNR,
t_info.MANDFUEHR
FROM
(SELECT DISTINCT bedp.BEDP_TITELNR FROM EXT_BEDPBED bedp) view1
LEFT JOIN EXT_TITEL_INFO t_info
ON view1.BEDP_TITELNR = t_info.TI_NUMMER
) sub1 WHERE sub1.MANDFUEHR IN (1,90) AND sub1.MELDENUMMER in (17, 18)
) titles
JOIN EXT_AUFPAUF auf
ON titles.BEDP_TITELNR = auf.TITELNR
WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-09-05', 'YYYY-MM-DD')
)
GROUP BY EINGANGS_ART
ORDER BY anzahl DESC;
-- EXPLAIN PLAN FOR
-- SELECT COUNT(*) FROM (
-- SELECT /*+gather_plan_statistics*/ /*+ NO_USE_HASH(bedp t_info) */
-- bedp.BEDP_TITELNR,
-- t_info.MELDENUMMER,
-- t_info.VERLAGSNR,
-- t_info.MANDFUEHR
-- FROM EXT_BEDPBED bedp
-- LEFT JOIN EXT_TITEL_INFO t_info
-- ON bedp.BEDP_TITELNR = t_info.TI_NUMMER
-- );
-- SELECT * FROM TABLE(DBMS_XPLAN.DISPLAY(format => 'ALL'));
-- SELECT * FROM EXT_TITEL_INFO t_info WHERE t_info.TI_NUMMER = 6132326;
-- SELECT * FROM EXT_TITEL_INFO t_info WHERE t_info.TI_NUMMER = 5641810;
@ -52,6 +146,6 @@ set timing on
-- FROM EXT_AUFPAUF auf
-- WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-11-18', 'YYYY-MM-DD');
SELECT *
FROM EXT_AUFPAUF auf
WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-11-18', 'YYYY-MM-DD');
-- SELECT *
-- FROM EXT_AUFPAUF auf
-- WHERE auf.AUFTRAGS_DATUM > TO_DATE('2025-11-18', 'YYYY-MM-DD');