ENGINATICS SYSTEM_ADMINISTRATOR SYSADMIN 8E2FF36EDE9079D2E0530100007F1FF2 FND Currency Y select fcv.currency_code value, fcv.description from fnd_currencies_vl fcv where fcv.enabled_flag='Y' order by fcv.currency_code US 8E2FF36EDF3C79D2E0530100007F1FF2 GL Balance Type Y select flvv.description value, flvv.lookup_code description from fnd_lookup_values_vl flvv where flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 order by flvv.lookup_code US B16C8DB2BC207B92E0530100007F1372 GL Batch Y Y select distinct gjb.name value, gjb.description from gl_je_batches gjb where gjb.je_batch_id in (select gjh.je_batch_id from gl_je_headers gjh where (:$flex$.journal is null or gjh.name=:$flex$.journal) and gjh.ledger_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)='Y' or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y'))) order by gjb.name US E0594F170E1998F5E0530100007F6EA3 GL Budget Name Y select gbv.budget_name value, gbv.budget_type || ' (' || xxen_util.meaning(gbv.status,'PLAN/VERSION STATUS',101) || ')' description from gl_ledgers gl, gl_budgets gb, gl_budget_versions gbv where gl.ledger_id=gb.ledger_id and gb.budget_name=gbv.budget_name and gb.budget_type=gbv.budget_type and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.balance_type is null or exists ( select null from fnd_lookup_values_vl flvv where xxen_util.contains(:$flex$.balance_type,flvv.description)='Y' and flvv.lookup_code='B' and flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 ) ) order by value US E0594F170E1A98F5E0530100007F6EA3 GL Encumbrance Type Y select get.encumbrance_type value, get.description description from gl_encumbrance_types get where :$flex$.balance_type is null or exists ( select null from fnd_lookup_values_vl flvv where xxen_util.contains(:$flex$.balance_type,flvv.description)='Y' and flvv.lookup_code='E' and flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 ) order by value US B16C8DB2BC217B92E0530100007F1372 GL Journal Y Y select distinct gjh.name value, gjh.description from gl_je_headers gjh where (:$flex$.batch is null or gjh.je_batch_id in (select gjb.je_batch_id from gl_je_batches gjb where xxen_util.contains(:$flex$.batch,gjb.name)='Y')) and gjh.ledger_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)='Y' or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) order by gjh.name US 8E2FF36EDF2479D2E0530100007F1FF2 GL Journal Category Y select gjcv.user_je_category_name value, gjcv.description from gl_je_categories_vl gjcv order by gjcv.user_je_category_name US 8E2FF36EDF2379D2E0530100007F1FF2 GL Journal Source Y select gjsv.user_je_source_name value, gjsv.description from gl_je_sources_vl gjsv order by gjsv.user_je_source_name US B16B03AA6AEB5FDDE0530100007FE310 GL Journal Status Y select xxen_util.meaning('P','BATCH_STATUS',101) value, null description from dual union all select xxen_util.meaning('U','BATCH_STATUS',101) value, null description from dual union all select xxen_util.meaning('E','VALIDATION_STATUS',101) value, null description from dual US 8E2FF36EDEB879D2E0530100007F1FF2 GL Ledger Y select gl.name value, fifsv.id_flex_structure_name||': '||decode(gl.ledger_category_code,'NONE',xxen_util.meaning(gl.object_type_code,'LEDGERS',101),xxen_util.meaning(gl.ledger_category_code,'GL_ASF_LEDGER_CATEGORY',101))||': '||gl.description description from gl_ledgers gl, fnd_id_flex_structures_vl fifsv where (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y') and gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and gl.chart_of_accounts_id=fifsv.id_flex_num and fifsv.id_flex_code='GL#' and fifsv.application_id=101 order by fifsv.id_flex_structure_name, decode(gl.ledger_category_code,'PRIMARY',1,'SECONDARY',2,'ALC',3,'NONE',4), gl.name AR دفاتر الأستاذ المقيدة بمجموعة الوصول ، المحددة بواسطة قيمة الملف الشخصي "مجموعة الوصول إلى بيانات GL" لمسؤولية تسجيل الدخول الحالية D Ledger, die durch das Zugriffsset eingeschränkt sind, definiert durch den Profilwert 'GL Data Access Set' der aktuellen Anmeldeverantwortung E Libros restringidos por el conjunto de acceso, definido por el valor del perfil "Conjunto de acceso a datos GL" de la responsabilidad de inicio de sesión actual F Grands livres limités par un ensemble d'accès, défini par la valeur du profil "GL Data Access Set" de la responsabilité de connexion actuelle I Libri mastri limitati dal set di accesso, definito dal valore del profilo 'GL Data Access Set' della responsabilità di login corrente JA 現在のログイン責任者のプロファイル値'GL Data Access Set'によって定義されたアクセスセットによって制限された元帳 KO 현재 로그인 권한의 프로파일 값 'GL 데이터 액세스 세트'로 정의 된 액세스 세트로 제한되는 원장 PTB Ledgers restritos pelo conjunto de acesso, definido pelo valor do perfil 'GL Data Access Set' da atual responsabilidade de login RU Леджеры, ограниченные набором доступа, определяемые значением профиля "GL Data Access Set" текущей ответственности за вход в систему S Ledgers begränsade av åtkomstuppsättning, definierade av profilvärde 'GL Data Access Set' för det aktuella inloggningsansvaret TR Mevcut oturum açma sorumluluğunun profil değeri 'GL Veri Erişim Kümesi' ile tanımlanan erişim kümesiyle kısıtlanmış defterler US Ledgers restricted by access set, defined by profile value 'GL Data Access Set' of the current login responsibility ZHS 由访问集限制的分类账，由当前登录责任的配置文件值 "GL数据访问集 "定义。 B3AC323B70342741E0530100007F08E3 GL Ledger Category Y select x.value, x.description from ( select flvv.meaning value, flvv.lookup_code description from fnd_lookup_values_vl flvv where flvv.lookup_code in (select gl.ledger_category_code from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) ) and flvv.lookup_type='GL_ASF_LEDGER_CATEGORY' and flvv.view_application_id=101 and flvv.security_group_id=0 union all select 'Primary Ledger', 'PRIMARY' from dual where not exists (select null from fnd_lookup_values_vl flvv where flvv.lookup_type='GL_ASF_LEDGER_CATEGORY' and flvv.view_application_id=101) ) x order by decode(x.description,'PRIMARY',1,'SECONDARY',2,'NONE',10,3) AR فئات دفتر الأستاذ ، مقصورة على فئات دفاتر الأستاذ التي يمكن الوصول إليها من خلال مجموعة الوصول الحالية D Ledger-Kategorien, beschränkt auf die Kategorien von Ledgern, die über den aktuellen Zugriffssatz zugänglich sind E Categorías de libros mayores, restringidas a las categorías de libros mayores accesibles a través del conjunto de acceso actual F Catégories de grand livre, limitées aux catégories de grand livre accessibles par le jeu d'accès actuel I Categorie di libro mastro, limitate alle categorie di libri mastri accessibili attraverso il set di accesso corrente JA 現在のアクセスセットからアクセス可能な元帳のカテゴリに制限された元帳カテゴリ KO 원장 범주, 현재 액세스 세트를 통해 액세스 할 수있는 원장 범주로 제한됨 PTB Categorias de ledgers, restritas às categorias de ledgers acessíveis através do conjunto de acesso atual RU Категории регистров, ограниченные категориями регистров, доступных через текущий набор доступа S Huvudkategorier, begränsade till kategorierna av huvudböcker som är tillgängliga via den aktuella åtkomstuppsättningen TR Mevcut erişim seti aracılığıyla erişilebilen defter kategorileri ile sınırlı defter kategorileri US Ledger categories, restricted to the categories of ledgers accessible through the current access set ZHS 分类账类别，仅限于通过当前访问设置访问的分类账类别。 8E2FF36EDED479D2E0530100007F1FF2 GL Period (past) Y select distinct gp.period_name value, ( select xxen_util.meaning(gps.closing_status,'CLOSING_STATUS',101)||': '||fnd_date.date_to_displaydate(gps.start_date)||' - '||fnd_date.date_to_displaydate(gps.end_date) description from gl_period_statuses gps where gp.period_name=gps.period_name and gps.ledger_id=(select gl.ledger_id from gl_ledgers gl where gl.name=:$flex$.ledger) and gps.application_id=101 ) description, min(gp.start_date) over (partition by gp.period_name) min_start_date from gl_periods gp where gp.start_date<=sysdate+400 and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.operating_unit is null or gl.ledger_id in (select hou.set_of_books_id from hr_operating_units hou where xxen_util.contains(:$flex$.operating_unit,hou.name)='Y')) and (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) order by min_start_date desc, gp.period_name Added +400 days to show future periods for budgets AR جميع فترات دفتر الأستاذ العام الماضية ، تعتمد على مخطط الحسابات أو دفتر الأستاذ D Alle vergangenen GL-Perioden, abhängig von Kontenplan oder Ledger E Todos los periodos pasados de LG, dependiendo del plan de cuentas o del libro mayor F Toutes les périodes de GL passées, en fonction du plan comptable ou du grand livre I Tutti i periodi GL passati, a seconda del piano dei conti o del libro mastro JA すべての過去のGL期間は、勘定科目表または元帳に依存しています。 KO 계정과 목표 또는 원장에 따라 모든 과거 GL 기간 PTB Todos os períodos anteriores da GL, dependendo do plano de contas ou do livro razão RU Все прошлые периоды GL, в зависимости от плана счетов или бухгалтерской книги. S Alla tidigare GL-perioder, beroende på kontoplan eller storbok TR Hesap planına veya genel muhasebe defterine bağlı olarak geçmiş tüm GL dönemleri US All past GL periods, dependent on chart of accounts or ledger ZHS 过去的所有GL期，取决于会计科目表或分类账。 8E2FF36EDEA679D2E0530100007F1FF2 Yes Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US 0E68C40E99426F48E06362FB0905FF8A select --ledger gl.name ledger, xxen_util.meaning(gl.ledger_category_code,'GL_ASF_LEDGER_CATEGORY',101) ledger_category, gl.currency_code ledger_currency, -- period gjh.period_name, gjh.default_effective_date effective_date, xxen_util.client_time(gjh.posted_date) posted_date, --batch gjb.name batch_name, gjb.je_batch_id, xxen_util.meaning(substr(gjb.status,1,1),'MJE_BATCH_STATUS',101) batch_status, xxen_util.client_time(gjb.posted_date) batch_posted_date, xxen_util.user_name(gjb.posted_by) batch_posted_by, xxen_util.meaning(gjb.budgetary_control_status,'JE_BATCH_BC_STATUS',101) batch_funds_status, xxen_util.meaning(gjb.approval_status_code,'JE_BATCH_APPROVAL_STATUS',101) approval_status, (select ppf.full_name from per_people_f ppf where gjb.approver_employee_id=ppf.person_id and gjb.creation_date between ppf.effective_start_date and ppf.effective_end_date) batch_approver, -- journal header gjh.name journal_name, gjh.je_header_id, gjh.doc_sequence_value journal_document_number, gjh.description journal_description, gjh.external_reference, (select gjsv.user_je_source_name from gl_je_sources_vl gjsv where gjh.je_source=gjsv.je_source_name) source_name, (select gjcv.user_je_category_name from gl_je_categories_vl gjcv where gjh.je_category=gjcv.je_category_name) category_name, xxen_util.meaning(gjh.status,'BATCH_STATUS',101) journal_status, xxen_util.description(gjh.actual_flag,'BATCH_TYPE',101) balance_type, (select gbv.budget_name from gl_budget_versions gbv where gjh.budget_version_id=gbv.budget_version_id) budget_name, (select get.encumbrance_type from gl_encumbrance_types get where gjh.encumbrance_type_id=get.encumbrance_type_id) encumbrance_type, xxen_util.meaning(gjh.tax_status_code,'TAX_STATUS',101) tax_status_code, xxen_util.meaning(gjb.average_journal_flag,'AB_JOURNAL_TYPE',101) journal_type, gjh.originating_bal_seg_value clearing_company, gjh.currency_code currency, gjh.running_total_dr journal_entered_dr, gjh.running_total_cr journal_entered_cr, nvl(gjh.running_total_dr,0)-nvl(gjh.running_total_cr,0) journal_entered_amount, gjh.running_total_accounted_dr journal_accounted_dr, gjh.running_total_accounted_cr journal_accounted_cr, nvl(gjh.running_total_accounted_dr,0)-nvl(gjh.running_total_accounted_cr,0) journal_accounted_amount, gjh.currency_conversion_date conversion_date, (select gdct.user_conversion_type from gl_daily_conversion_types gdct where gjh.currency_conversion_type=gdct.conversion_type) conversion_type, gjh.currency_conversion_rate conversion_rate, gjh.accrual_rev_effective_date reversal_effective_date, gjh.accrual_rev_period_name reversal_period, xxen_util.meaning(decode(gjh.accrual_rev_change_sign_flag,'N','S','Y','C'),'REVERSAL_OPTION_CODE',101) reversal_method, xxen_util.meaning(gjh.accrual_rev_status,'JE_REVERSAL_STATUS',101) reversal_status, (select gjh2.name from gl_je_headers gjh2 where gjh.accrual_rev_je_header_id=gjh2.je_header_id) reversal_journal_name, -- journal lines gjl.je_line_num line_number, gjl.description line_description, xxen_util.meaning(gjl.status,'BATCH_STATUS',101) line_status, gjl.effective_date line_effective_date, gjl.entered_dr, gjl.entered_cr, nvl(gjl.entered_dr,0)-nvl(gjl.entered_cr,0) entered_amount, gjl.accounted_dr, gjl.accounted_cr, nvl(gjl.accounted_dr,0)-nvl(gjl.accounted_cr,0) accounted_amount, case when (select gsu.reconciliation_upg_flag from gl_system_usages gsu)='Y' then (select gjlr.jgzz_recon_ref from gl_je_lines_recon gjlr where gjl.je_header_id=gjlr.je_header_id and gjl.je_line_num=gjlr.je_line_num) else nvl((select gjlr.jgzz_recon_ref from gl_je_lines_recon gjlr where gjl.je_header_id=gjlr.je_header_id and gjl.je_line_num=gjlr.je_line_num),gjl.jgzz_recon_ref_11i) end line_reconcilation_reference, case when (select gsu.reconciliation_upg_flag from gl_system_usages gsu)='Y' then (select gjlr.jgzz_recon_date from gl_je_lines_recon gjlr where gjl.je_header_id=gjlr.je_header_id and gjl.je_line_num=gjlr.je_line_num) else nvl((select gjlr.jgzz_recon_date from gl_je_lines_recon gjlr where gjl.je_header_id=gjlr.je_header_id and gjl.je_line_num=gjlr.je_line_num),gjl.jgzz_recon_date_11i) end line_reconcilation_date, case when gjl.tax_type_code='I' then nvl((select zrb.tax_rate_code from zx_rates_b zrb where gjl.tax_code_id=zrb.source_id) ,(select zrb.tax_rate_code from zx_rates_b zrb where gjl.tax_code_id=zrb.tax_rate_id)) when gjl.tax_type_code in ('O','T') then (select zrb.tax_rate_code from zx_rates_b zrb where gjl.tax_code_id=zrb.tax_rate_id) else null end line_tax_rate_code, -- accounts gcck.concatenated_segments, fnd_flex_xml_publisher_apis.process_kff_combination_1('account', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'ALL', 'Y', 'DESCRIPTION') concatenated_segments_desc, fnd_flex_xml_publisher_apis.process_kff_combination_1('bal_seg', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'GL_BALANCING', 'Y', 'VALUE') balancing_segment, fnd_flex_xml_publisher_apis.process_kff_combination_1('bal_seg', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'GL_BALANCING', 'Y', 'DESCRIPTION') balancing_segment_desc, fnd_flex_xml_publisher_apis.process_kff_combination_1('account', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'GL_ACCOUNT', 'Y', 'VALUE') account_segment, fnd_flex_xml_publisher_apis.process_kff_combination_1('account', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'GL_ACCOUNT', 'Y', 'DESCRIPTION') account_segment_desc, fnd_flex_xml_publisher_apis.process_kff_combination_1('account', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'FA_COST_CTR', 'Y', 'VALUE') cost_center_segment, fnd_flex_xml_publisher_apis.process_kff_combination_1('account', 'SQLGL', 'GL#', gjb.chart_of_accounts_id, null, gjl.code_combination_id, 'FA_COST_CTR', 'Y', 'DESCRIPTION') cost_center_segment_desc, -- attachment details fad1.count batch_attachment_count, fad2.count journal_attachment_count, &attachment_columns -- audit columns xxen_util.user_name(gjb.created_by) batch_created_by, xxen_util.client_time(gjb.creation_date) batch_creation_date, xxen_util.user_name(gjb.last_updated_by) batch_last_updated_by, xxen_util.client_time(gjb.last_update_date) batch_last_update_date, xxen_util.user_name(gjh.created_by) journal_created_by, xxen_util.client_time(gjh.creation_date) journal_creation_date, xxen_util.user_name(gjh.last_updated_by) journal_last_updated_by, xxen_util.client_time(gjh.last_update_date) journal_last_update_date, xxen_util.user_name(gjl.created_by) line_created_by, xxen_util.client_time(gjl.creation_date) line_creation_date, xxen_util.user_name(gjl.last_updated_by) line_last_updated_by, xxen_util.client_time(gjl.last_update_date) line_last_update_date, -- period labels gp.start_date period_start, gp.end_date period_end, to_char(gp.period_year) || '-' || ltrim(to_char(gp.period_num,'00')) period_year_num from gl_ledgers gl, gl_periods gp, gl_je_batches gjb, gl_je_headers gjh, gl_je_lines gjl, gl_code_combinations_kfv gcck, (select distinct fad.pk1_value,&fad_document_id count(*) over (partition by fad.pk1_value) count from fnd_attached_documents fad where fad.entity_name='GL_JE_BATCHES') fad1, (select distinct fad.pk2_value,&fad_document_id count(*) over (partition by fad.pk2_value) count from fnd_attached_documents fad where fad.entity_name='GL_JE_HEADERS') fad2, fnd_documents fd1, fnd_documents fd2, fnd_documents_tl fdt1, fnd_documents_tl fdt2, fnd_document_datatypes fdd1, fnd_document_datatypes fdd2, fnd_document_categories_vl fdcv1, fnd_document_categories_vl fdcv2, fnd_lobs fl1, fnd_lobs fl2, fnd_documents_short_text fdst1, fnd_documents_short_text fdst2, fnd_documents_long_text fdlt1, fnd_documents_long_text fdlt2 where 1=1 and gl.period_set_name=gp.period_set_name and gp.period_name=gjh.period_name and gl.ledger_id=gjh.ledger_id and gjb.je_batch_id=gjh.je_batch_id and gjh.je_header_id=gjl.je_header_id(+) and (gjl.code_combination_id is null or gl_security_pkg.validate_access(null,gjl.code_combination_id)='TRUE') and gjl.code_combination_id=gcck.code_combination_id(+) and to_char(gjb.je_batch_id)=fad1.pk1_value(+) and to_char(gjh.je_header_id)=fad2.pk2_value(+) and fad1.document_id=fd1.document_id(+) and fad2.document_id=fd2.document_id(+) and fd1.document_id=fdt1.document_id(+) and fd2.document_id=fdt2.document_id(+) and fdt1.language(+)=userenv('lang') and fdt2.language(+)=userenv('lang') and fd1.datatype_id=fdd1.datatype_id(+) and fd2.datatype_id=fdd2.datatype_id(+) and fdd1.language(+)=userenv('lang') and fdd2.language(+)=userenv('lang') and fd1.category_id=fdcv1.category_id(+) and fd2.category_id=fdcv2.category_id(+) and fd1.media_id=fl1.file_id(+) and fd2.media_id=fl2.file_id(+) and decode(fd1.datatype_id,1,fd1.media_id)=fdst1.media_id(+) and decode(fd2.datatype_id,1,fd2.media_id)=fdst2.media_id(+) and decode(fd1.datatype_id,2,fd1.media_id)=fdlt1.media_id(+) and decode(fd2.datatype_id,2,fd2.media_id)=fdlt2.media_id(+) order by gp.period_year desc, gp.period_num desc, gjh.default_effective_date, gjb.name, gjh.name, gjl.je_line_num, fad1.seq_num, fad2.seq_num Y #,##0.00;[Red]-#,##0.00 B16D05FCE6447B2AE0530100007F419C ( :Ledger is not null or :Ledger_Category is not null ) and ( :Period is not null or :Period_From is not null or :Period_To is not null or :Posted_Date_From is not null or :Posted_Date_To is not null or :Journal_Source is not null or :Journal_Category is not null or :Status=xxen_util.meaning('U','BATCH_STATUS',101) or :Batch is not null or :Journal is not null ) Y US XXGL Journals GL batches and journals report, including amounts and attachments Please enter a Ledger or Ledger Category, and one or more journal selection parameters &attachment_columns &fad_document_id 1=1 1 10 1=1 gl.name=:ledger LOV GL Ledger 8E2FF36EDEB879D2E0530100007F1FF2 Y select gl.name value, fifsv.id_flex_structure_name||': '||decode(gl.ledger_category_code,'NONE',xxen_util.meaning(gl.object_type_code,'LEDGERS',101),xxen_util.meaning(gl.ledger_category_code,'GL_ASF_LEDGER_CATEGORY',101))||': '||gl.description description from gl_ledgers gl, fnd_id_flex_structures_vl fifsv where (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y') and gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and gl.chart_of_accounts_id=fifsv.id_flex_num and fifsv.id_flex_code='GL#' and fifsv.application_id=101 order by fifsv.id_flex_structure_name, decode(gl.ledger_category_code,'PRIMARY',1,'SECONDARY',2,'ALC',3,'NONE',4), gl.name select coalesce(xxen_util.previous_parameter_value(:parameter_id),xxen_util.default_ledger) from dual where :$flex$.ledger_category is null US Ledger 2 20 1=1 gl.ledger_category_code=xxen_util.lookup_code(:ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y') and gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) LOV GL Ledger Category B3AC323B70342741E0530100007F08E3 Y select x.value, x.description from ( select flvv.meaning value, flvv.lookup_code description from fnd_lookup_values_vl flvv where flvv.lookup_code in (select gl.ledger_category_code from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) ) and flvv.lookup_type='GL_ASF_LEDGER_CATEGORY' and flvv.view_application_id=101 and flvv.security_group_id=0 union all select 'Primary Ledger', 'PRIMARY' from dual where not exists (select null from fnd_lookup_values_vl flvv where flvv.lookup_type='GL_ASF_LEDGER_CATEGORY' and flvv.view_application_id=101) ) x order by decode(x.description,'PRIMARY',1,'SECONDARY',2,'NONE',10,3) US Ledger Category 3 30 1=1 gp.period_name=:period_name LOV GL Period (past) 8E2FF36EDED479D2E0530100007F1FF2 Y select distinct gp.period_name value, ( select xxen_util.meaning(gps.closing_status,'CLOSING_STATUS',101)||': '||fnd_date.date_to_displaydate(gps.start_date)||' - '||fnd_date.date_to_displaydate(gps.end_date) description from gl_period_statuses gps where gp.period_name=gps.period_name and gps.ledger_id=(select gl.ledger_id from gl_ledgers gl where gl.name=:$flex$.ledger) and gps.application_id=101 ) description, min(gp.start_date) over (partition by gp.period_name) min_start_date from gl_periods gp where gp.start_date<=sysdate+400 and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.operating_unit is null or gl.ledger_id in (select hou.set_of_books_id from hr_operating_units hou where xxen_util.contains(:$flex$.operating_unit,hou.name)='Y')) and (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) order by min_start_date desc, gp.period_name select distinct max(gp.period_name) keep (dense_rank last order by gp.start_date,gp.period_year,gp.period_num) over () period_name from gl.gl_periods gp where gp.start_date<=sysdate and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where :$flex$.period_from is null and :$flex$.batch is null and :$flex$.journal is null and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) US Period 4 40 1=1 gp.period_year*10000+gp.period_num>=(select gp0.period_year*10000+gp0.period_num effective_period_num from gl_periods gp0 where gl.period_set_name=gp0.period_set_name and gp0.period_name=:period_name_from) LOV GL Period (past) 8E2FF36EDED479D2E0530100007F1FF2 Y select distinct gp.period_name value, ( select xxen_util.meaning(gps.closing_status,'CLOSING_STATUS',101)||': '||fnd_date.date_to_displaydate(gps.start_date)||' - '||fnd_date.date_to_displaydate(gps.end_date) description from gl_period_statuses gps where gp.period_name=gps.period_name and gps.ledger_id=(select gl.ledger_id from gl_ledgers gl where gl.name=:$flex$.ledger) and gps.application_id=101 ) description, min(gp.start_date) over (partition by gp.period_name) min_start_date from gl_periods gp where gp.start_date<=sysdate+400 and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.operating_unit is null or gl.ledger_id in (select hou.set_of_books_id from hr_operating_units hou where xxen_util.contains(:$flex$.operating_unit,hou.name)='Y')) and (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) order by min_start_date desc, gp.period_name select distinct max(gp.period_name) keep (dense_rank last order by gp.start_date,gp.period_year,gp.period_num) over () period_name from gl.gl_periods gp where :$flex$.period is null and :$flex$.batch is null and :$flex$.journal is null and gp.start_date<=sysdate and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) US Period From 5 50 1=1 gp.period_year*10000+gp.period_num<=(select gp0.period_year*10000+gp0.period_num effective_period_num from gl_periods gp0 where gl.period_set_name=gp0.period_set_name and gp0.period_name=:period_name_to) LOV GL Period (past) 8E2FF36EDED479D2E0530100007F1FF2 Y select distinct gp.period_name value, ( select xxen_util.meaning(gps.closing_status,'CLOSING_STATUS',101)||': '||fnd_date.date_to_displaydate(gps.start_date)||' - '||fnd_date.date_to_displaydate(gps.end_date) description from gl_period_statuses gps where gp.period_name=gps.period_name and gps.ledger_id=(select gl.ledger_id from gl_ledgers gl where gl.name=:$flex$.ledger) and gps.application_id=101 ) description, min(gp.start_date) over (partition by gp.period_name) min_start_date from gl_periods gp where gp.start_date<=sysdate+400 and (gp.period_set_name,gp.period_type) in ( select gl.period_set_name, gl.accounted_period_type from gl_ledgers gl where gl.ledger_id in (select nvl(glsnav.ledger_id,gasna.ledger_id) from gl_access_set_norm_assign gasna, gl_ledger_set_norm_assign_v glsnav where gasna.access_set_id=fnd_profile.value('GL_ACCESS_SET_ID') and gasna.ledger_id=glsnav.ledger_set_id(+)) and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.operating_unit is null or gl.ledger_id in (select hou.set_of_books_id from hr_operating_units hou where xxen_util.contains(:$flex$.operating_unit,hou.name)='Y')) and (:$flex$.ledger_category is null or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) and (:$flex$.chart_of_accounts is null or gl.chart_of_accounts_id in (select fifsv.id_flex_num from fnd_id_flex_structures_vl fifsv where fifsv.application_id=101 and fifsv.id_flex_code='GL#' and xxen_util.contains(:$flex$.chart_of_accounts,fifsv.id_flex_structure_name)='Y')) ) order by min_start_date desc, gp.period_name select :$flex$.period_from from dual where :$flex$.period is null and :$flex$.batch is null and :$flex$.journal is null US Period To 6 60 1=1 gjh.posted_date>=:posted_date_from Date US Posted Date From 7 70 1=1 gjh.posted_date<:posted_date_to+1 Date US Posted Date To 8 80 1=1 gjh.je_source in (select gjsv.je_source_name from gl_je_sources_vl gjsv where gjsv.user_je_source_name=:user_je_source_name) LOV GL Journal Source 8E2FF36EDF2379D2E0530100007F1FF2 Y select gjsv.user_je_source_name value, gjsv.description from gl_je_sources_vl gjsv order by gjsv.user_je_source_name US Journal Source 9 90 1=1 gjh.je_category in (select gjcv.je_category_name from gl_je_categories_vl gjcv where gjcv.user_je_category_name=:journal_category) LOV GL Journal Category 8E2FF36EDF2479D2E0530100007F1FF2 Y select gjcv.user_je_category_name value, gjcv.description from gl_je_categories_vl gjcv order by gjcv.user_je_category_name US Journal Category 10 100 1=1 gjh.status=xxen_util.lookup_code(:status,'BATCH_STATUS',101) LOV GL Journal Status B16B03AA6AEB5FDDE0530100007FE310 Y select xxen_util.meaning('P','BATCH_STATUS',101) value, null description from dual union all select xxen_util.meaning('U','BATCH_STATUS',101) value, null description from dual union all select xxen_util.meaning('E','VALIDATION_STATUS',101) value, null description from dual xxen_util.meaning('P','BATCH_STATUS',101) US Status 11 1=1 gjh.status not in ('P','U') xxen_util.meaning('E','VALIDATION_STATUS',101) US Status 12 110 1=1 not exists (select null from gl_import_references gir where gjl.je_header_id=gir.je_header_id and gjl.je_line_num=gir.je_line_num and gir.gl_sl_link_table in ('XLAJEL','APECL')) LOV Yes 8E2FF36EDEA679D2E0530100007F1FF2 Y select 'Y' id, xxen_util.meaning('Y','YES_NO',0) value, null description from dual US Exclude SLA Journals 13 120 1=1 gjb.name=:batch LOV GL Batch B16C8DB2BC207B92E0530100007F1372 Y Y select distinct gjb.name value, gjb.description from gl_je_batches gjb where gjb.je_batch_id in (select gjh.je_batch_id from gl_je_headers gjh where (:$flex$.journal is null or gjh.name=:$flex$.journal) and gjh.ledger_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)='Y' or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y'))) order by gjb.name US Batch 14 130 1=1 gjh.name=:journal LOV GL Journal B16C8DB2BC217B92E0530100007F1372 Y Y select distinct gjh.name value, gjh.description from gl_je_headers gjh where (:$flex$.batch is null or gjh.je_batch_id in (select gjb.je_batch_id from gl_je_batches gjb where xxen_util.contains(:$flex$.batch,gjb.name)='Y')) and gjh.ledger_id in (select gl.ledger_id from gl_ledgers gl where xxen_util.contains(:$flex$.ledger,gl.name)='Y' or gl.ledger_category_code=xxen_util.lookup_code(:$flex$.ledger_category,'GL_ASF_LEDGER_CATEGORY',101,'Y')) order by gjh.name US Journal 15 140 1=1 gcck.concatenated_segments=:concatenated_segments Char US Concatenated Segments 16 150 1=1 gjh.currency_code=:currency_code LOV FND Currency 8E2FF36EDE9079D2E0530100007F1FF2 Y select fcv.currency_code value, fcv.description from fnd_currencies_vl fcv where fcv.enabled_flag='Y' order by fcv.currency_code US Currency 17 160 &attachment_columns select 'fad1.seq_num batch_attch_sequence, fdcv1.user_name batch_attch_category,'|| decode(fnd_release.major_version,11,null,'fdt1.title batch_attch_title,')||' fdd1.user_name batch_attch_data_type,'|| decode(fnd_release.major_version,11,'nvl(fl1.file_name,fd1.file_name) batch_attch_name,','decode(fd1.datatype_id,5,fd1.url,nvl(fl1.file_name,fd1.file_name)) batch_attch_name,')||chr(10)|| decode(fnd_release.major_version,11 ,'nvl2(fd1.media_id,''=HYPERLINK("''||fnd_gfm.construct_download_url(fnd_web_config.gfm_agent,fd1.media_id)||''","''||nvl(fl1.file_name,fd1.file_name)||''")'',null) batch_attch_url,' ,'decode(fd1.datatype_id, 5,''=HYPERLINK("''||fd1.url||''","''||fd1.url||''")'', nvl2(fd1.media_id,''=HYPERLINK("''||fnd_gfm.construct_download_url(fnd_web_config.gfm_agent,fd1.media_id)||''","''||nvl(fl1.file_name,fd1.file_name)||''")'',null) ) batch_attch_url,')||' decode(fd1.datatype_id,1,to_clob(fdst1.short_text),2,xxen_util.long_to_clob(''FND_DOCUMENTS_LONG_TEXT'',''LONG_TEXT'',fdlt1.rowid)) batch_attch_text, dbms_lob.substr(decode(fd1.datatype_id,1,to_clob(fdst1.short_text),2,xxen_util.long_to_clob(''FND_DOCUMENTS_LONG_TEXT'',''LONG_TEXT'',fdlt1.rowid)),4000,1) batch_attch_short_text, fad2.seq_num journal_attch_sequence, fdcv2.user_name journal_attch_category,'|| decode(fnd_release.major_version,11,null,'fdt2.title journal_attch_title,')||' fdd2.user_name journal_attch_data_type,'|| decode(fnd_release.major_version,11,'nvl(fl2.file_name,fd2.file_name) journal_attch_name,','decode(fd2.datatype_id,5,fd2.url,nvl(fl2.file_name,fd2.file_name)) journal_attch_name,')||chr(10)|| decode(fnd_release.major_version,11,'nvl2(fd2.media_id,''=HYPERLINK("''||fnd_gfm.construct_download_url(fnd_web_config.gfm_agent,fd2.media_id)||''","''||nvl(fl2.file_name,fd2.file_name)||''")'',null) journal_attch_url,', 'decode(fd2.datatype_id, 5,''=HYPERLINK("''||fd2.url||''","''||fd2.url||''")'', nvl2(fd2.media_id,''=HYPERLINK("''||fnd_gfm.construct_download_url(fnd_web_config.gfm_agent,fd2.media_id)||''","''||nvl(fl2.file_name,fd2.file_name)||''")'',null) ) journal_attch_url,')||' decode(fd2.datatype_id,1,to_clob(fdst2.short_text),2,xxen_util.long_to_clob(''FND_DOCUMENTS_LONG_TEXT'',''LONG_TEXT'',fdlt2.rowid)) journal_attch_text, dbms_lob.substr(decode(fd2.datatype_id,1,to_clob(fdst2.short_text),2,xxen_util.long_to_clob(''FND_DOCUMENTS_LONG_TEXT'',''LONG_TEXT'',fdlt2.rowid)),4000,1) journal_attch_short_text,' from dual LOV Oracle Yes_No Y select lookup_code id, meaning value, null description from fnd_lookups where fnd_lookups.lookup_type='YES_NO' order by value,description Y N Y US Show Attachment Details 18 &fad_document_id null seq_num, null document_id, N US Show Attachment Details 19 &fad_document_id fad.seq_num, fad.document_id, Y US Show Attachment Details 20 170 1=1 gjh.actual_flag in (select flvv.lookup_code from fnd_lookup_values_vl flvv where flvv.description=:balance_type and flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0) LOV GL Balance Type 8E2FF36EDF3C79D2E0530100007F1FF2 Y select flvv.description value, flvv.lookup_code description from fnd_lookup_values_vl flvv where flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 order by flvv.lookup_code select flv.description from fnd_lookup_values flv where flv.lookup_type='BATCH_TYPE' and flv.view_application_id=101 and flv.language(+)=userenv('lang') and flv.security_group_id=0 and flv.lookup_code = 'A' US Balance Type 21 180 1=1 (gjh.actual_flag<>'B' or gjh.budget_version_id in (select gbv.budget_version_id from gl_budget_versions gbv where gbv.budget_name = :budget_name)) LOV GL Budget Name E0594F170E1998F5E0530100007F6EA3 Y select gbv.budget_name value, gbv.budget_type || ' (' || xxen_util.meaning(gbv.status,'PLAN/VERSION STATUS',101) || ')' description from gl_ledgers gl, gl_budgets gb, gl_budget_versions gbv where gl.ledger_id=gb.ledger_id and gb.budget_name=gbv.budget_name and gb.budget_type=gbv.budget_type and (:$flex$.ledger is null or xxen_util.contains(:$flex$.ledger,gl.name)='Y') and (:$flex$.balance_type is null or exists ( select null from fnd_lookup_values_vl flvv where xxen_util.contains(:$flex$.balance_type,flvv.description)='Y' and flvv.lookup_code='B' and flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 ) ) order by value US Budget Name 22 190 1=1 (gjh.actual_flag<>'E' or gjh.encumbrance_type_id in (select get.encumbrance_type_id from gl_encumbrance_types get where get.encumbrance_type = :encumbrance_type)) LOV GL Encumbrance Type E0594F170E1A98F5E0530100007F6EA3 Y select get.encumbrance_type value, get.description description from gl_encumbrance_types get where :$flex$.balance_type is null or exists ( select null from fnd_lookup_values_vl flvv where xxen_util.contains(:$flex$.balance_type,flvv.description)='Y' and flvv.lookup_code='E' and flvv.lookup_type='BATCH_TYPE' and flvv.view_application_id=101 and flvv.security_group_id=0 ) order by value US Encumbrance Type :$flex$.balance_type Balance Type Budget Name :$flex$.balance_type Balance Type Encumbrance Type :$flex$.batch Batch Journal :$flex$.batch Batch Period :$flex$.batch Batch Period From :$flex$.batch Batch Period To :$flex$.journal Journal Batch :$flex$.journal Journal Period :$flex$.journal Journal Period From :$flex$.journal Journal Period To :$flex$.ledger Ledger Batch :$flex$.ledger Ledger Budget Name :$flex$.ledger Ledger Journal :$flex$.ledger Ledger Period :$flex$.ledger Ledger Period From :$flex$.ledger Ledger Period To :$flex$.ledger_category Ledger Category Batch :$flex$.ledger_category Ledger Category Journal :$flex$.ledger_category Ledger Category Ledger :$flex$.ledger_category Ledger Category Period :$flex$.ledger_category Ledger Category Period From :$flex$.ledger_category Ledger Category Period To :$flex$.period Period Period From :$flex$.period Period Period To :$flex$.period_from Period From Period :$flex$.period_from Period From Period To GL Journal Drilldown ENGINATICS 12 ACCOUNTED_CR 11 ACCOUNTED_DR 2 BATCH_NAME 1 5 CATEGORY_NAME 13 CONCATENATED_SEGMENTS 14 CONCATENATED_SEGMENTS_DESC 7 CURRENCY 1 EFFECTIVE_DATE 10 ENTERED_CR 9 ENTERED_DR 3 JOURNAL_NAME 2 15 LINE_DESCRIPTION 8 LINE_NUMBER 6 PERIOD_NAME 4 SOURCE_NAME S Site GL Journal Drilldown (Attachment) ENGINATICS 12 ACCOUNTED_CR 11 ACCOUNTED_DR 2 BATCH_NAME 5 CATEGORY_NAME 13 CONCATENATED_SEGMENTS 14 CONCATENATED_SEGMENTS_DESC 7 CURRENCY 1 EFFECTIVE_DATE 10 ENTERED_CR 9 ENTERED_DR 3 JOURNAL_NAME 15 LINE_DESCRIPTION 8 LINE_NUMBER 6 PERIOD_NAME 4 SOURCE_NAME S Site Journal Line Detail ENGINATICS 53 ACCOUNTED_AMOUNT 52 ACCOUNTED_CR 51 ACCOUNTED_DR 61 ACCOUNT_SEGMENT 62 ACCOUNT_SEGMENT_DESC 13 APPROVAL_STATUS 23 BALANCE_TYPE 59 BALANCING_SEGMENT 60 BALANCING_SEGMENT_DESC 14 BATCH_APPROVER 65 BATCH_ATTACHMENT_COUNT 67 BATCH_CREATED_BY 68 BATCH_CREATION_DATE 12 BATCH_FUNDS_STATUS 69 BATCH_LAST_UPDATED_BY 70 BATCH_LAST_UPDATE_DATE 7 BATCH_NAME 3 11 BATCH_POSTED_BY 10 BATCH_POSTED_DATE 9 BATCH_STATUS 24 BUDGET_NAME 21 CATEGORY_NAME 28 CLEARING_COMPANY -56.0057 CONCATENATED_ACCOUNT -56.0058 CONCATENATED_ACCOUNT_DESC 57 CONCATENATED_SEGMENTS 58 CONCATENATED_SEGMENTS_DESC 36 CONVERSION_DATE 38 CONVERSION_RATE 37 CONVERSION_TYPE 63 COST_CENTER_SEGMENT 64 COST_CENTER_SEGMENT_DESC 29 CURRENCY 5 EFFECTIVE_DATE 2 25 ENCUMBRANCE_TYPE 50 ENTERED_AMOUNT 49 ENTERED_CR 48 ENTERED_DR 19 EXTERNAL_REFERENCE 8 JE_BATCH_ID 16 JE_HEADER_ID 35 JOURNAL_ACCOUNTED_AMOUNT 34 JOURNAL_ACCOUNTED_CR 33 JOURNAL_ACCOUNTED_DR 66 JOURNAL_ATTACHMENT_COUNT 71 JOURNAL_CREATED_BY 72 JOURNAL_CREATION_DATE 18 JOURNAL_DESCRIPTION 17 JOURNAL_DOCUMENT_NUMBER 32 JOURNAL_ENTERED_AMOUNT 31 JOURNAL_ENTERED_CR 30 JOURNAL_ENTERED_DR 73 JOURNAL_LAST_UPDATED_BY 74 JOURNAL_LAST_UPDATE_DATE 15 JOURNAL_NAME 4 22 JOURNAL_STATUS 27 JOURNAL_TYPE 1 LEDGER 2 LEDGER_CATEGORY 3 LEDGER_CURRENCY 75 LINE_CREATED_BY 76 LINE_CREATION_DATE 45 LINE_DESCRIPTION 47 LINE_EFFECTIVE_DATE 77 LINE_LAST_UPDATED_BY 78 LINE_LAST_UPDATE_DATE 44 LINE_NUMBER 5 55 LINE_RECONCILATION_DATE 54 LINE_RECONCILATION_REFERENCE 46 LINE_STATUS 56 LINE_TAX_RATE_CODE 80 PERIOD_END 4 PERIOD_NAME 79 PERIOD_START 81 PERIOD_YEAR_NUM -1 6 POSTED_DATE 39 REVERSAL_EFFECTIVE_DATE 43 REVERSAL_JOURNAL_NAME 41 REVERSAL_METHOD 40 REVERSAL_PERIOD 42 REVERSAL_STATUS 20 SOURCE_NAME 26 TAX_STATUS_CODE S Site Journal Line Detail PM TEST ENGINATICS 42 ACCOUNTED_AMOUNT 41 ACCOUNTED_CR 40 ACCOUNTED_DR 32 ACCOUNT_SEGMENT 33 ACCOUNT_SEGMENT_DESC 15 BALANCE_TYPE 30 BALANCING_SEGMENT 31 BALANCING_SEGMENT_DESC 5 BATCH_NAME 3 8 BATCH_POSTED_BY 7 BATCH_POSTED_DATE 6 BATCH_STATUS 13 CATEGORY_NAME -56.0057 CONCATENATED_ACCOUNT -56.0058 CONCATENATED_ACCOUNT_DESC 29 CONCATENATED_SEGMENTS 16 CONVERSION_DATE 18 CONVERSION_RATE 17 CONVERSION_TYPE 34 COST_CENTER_SEGMENT 35 COST_CENTER_SEGMENT_DESC 39 CURRENCY 4 EFFECTIVE_DATE 2 38 ENTERED_AMOUNT 37 ENTERED_CR 36 ENTERED_DR 11 JOURNAL_DESCRIPTION 10 JOURNAL_DOCUMENT_NUMBER 9 JOURNAL_NAME 4 14 JOURNAL_STATUS 1 LEDGER 43 LEDGER_CURRENCY 25 LINE_DESCRIPTION 24 LINE_NUMBER 5 28 LINE_RECONCILATION_DATE 27 LINE_RECONCILATION_REFERENCE 26 LINE_STATUS 3 PERIOD_NAME 2 PERIOD_YEAR_NUM -1 19 REVERSAL_EFFECTIVE_DATE 23 REVERSAL_JOURNAL_NAME 21 REVERSAL_METHOD 20 REVERSAL_PERIOD 22 REVERSAL_STATUS 12 SOURCE_NAME ACCOUNTED_AMOUNT VALUE 1 SUM ACCOUNT_SEGMENT ROW 1 COST_CENTER_SEGMENT ROW 2 LEDGER FILTER 1 PERIOD_NAME COLUMN 1 S Site Journal Summary Y Journal Summary - No Line Details ENGINATICS 13 APPROVAL_STATUS 23 BALANCE_TYPE 14 BATCH_APPROVER 44 BATCH_ATTACHMENT_COUNT 46 BATCH_CREATED_BY 47 BATCH_CREATION_DATE 12 BATCH_FUNDS_STATUS 48 BATCH_LAST_UPDATED_BY 49 BATCH_LAST_UPDATE_DATE 7 BATCH_NAME 3 11 BATCH_POSTED_BY 10 BATCH_POSTED_DATE 9 BATCH_STATUS 24 BUDGET_NAME 21 CATEGORY_NAME 28 CLEARING_COMPANY 36 CONVERSION_DATE 38 CONVERSION_RATE 37 CONVERSION_TYPE 29 CURRENCY 5 EFFECTIVE_DATE 2 25 ENCUMBRANCE_TYPE 19 EXTERNAL_REFERENCE 8 JE_BATCH_ID 16 JE_HEADER_ID 35 JOURNAL_ACCOUNTED_AMOUNT 34 JOURNAL_ACCOUNTED_CR 33 JOURNAL_ACCOUNTED_DR 45 JOURNAL_ATTACHMENT_COUNT 50 JOURNAL_CREATED_BY 51 JOURNAL_CREATION_DATE 18 JOURNAL_DESCRIPTION 17 JOURNAL_DOCUMENT_NUMBER 32 JOURNAL_ENTERED_AMOUNT 31 JOURNAL_ENTERED_CR 30 JOURNAL_ENTERED_DR 52 JOURNAL_LAST_UPDATED_BY 53 JOURNAL_LAST_UPDATE_DATE 15 JOURNAL_NAME 4 22 JOURNAL_STATUS 27 JOURNAL_TYPE 1 LEDGER 2 LEDGER_CATEGORY 3 LEDGER_CURRENCY 55 PERIOD_END 4 PERIOD_NAME 54 PERIOD_START 56 PERIOD_YEAR_NUM -1 6 POSTED_DATE 39 REVERSAL_EFFECTIVE_DATE 43 REVERSAL_JOURNAL_NAME 41 REVERSAL_METHOD 40 REVERSAL_PERIOD 42 REVERSAL_STATUS 20 SOURCE_NAME 26 TAX_STATUS_CODE S Site Journal Summary with Attachments Y Journal Summary with Attachments - No Line Details ENGINATICS 13 APPROVAL_STATUS 23 BALANCE_TYPE 14 BATCH_APPROVER 44 BATCH_ATTACHMENT_COUNT 47 BATCH_ATTCH_CATEGORY 49 BATCH_ATTCH_DATA_TYPE 50 BATCH_ATTCH_NAME 46 BATCH_ATTCH_SEQUENCE 52 BATCH_ATTCH_SHORT_TEXT 48 BATCH_ATTCH_TITLE 51 BATCH_ATTCH_URL 60 BATCH_CREATED_BY 61 BATCH_CREATION_DATE 12 BATCH_FUNDS_STATUS 62 BATCH_LAST_UPDATED_BY 63 BATCH_LAST_UPDATE_DATE 7 BATCH_NAME 3 11 BATCH_POSTED_BY 10 BATCH_POSTED_DATE 9 BATCH_STATUS 24 BUDGET_NAME 21 CATEGORY_NAME 28 CLEARING_COMPANY 36 CONVERSION_DATE 38 CONVERSION_RATE 37 CONVERSION_TYPE 29 CURRENCY 5 EFFECTIVE_DATE 2 25 ENCUMBRANCE_TYPE 19 EXTERNAL_REFERENCE 8 JE_BATCH_ID 16 JE_HEADER_ID 35 JOURNAL_ACCOUNTED_AMOUNT 34 JOURNAL_ACCOUNTED_CR 33 JOURNAL_ACCOUNTED_DR 45 JOURNAL_ATTACHMENT_COUNT 54 JOURNAL_ATTCH_CATEGORY 56 JOURNAL_ATTCH_DATA_TYPE 57 JOURNAL_ATTCH_NAME 53 JOURNAL_ATTCH_SEQUENCE 59 JOURNAL_ATTCH_SHORT_TEXT 55 JOURNAL_ATTCH_TITLE 58 JOURNAL_ATTCH_URL 64 JOURNAL_CREATED_BY 65 JOURNAL_CREATION_DATE 18 JOURNAL_DESCRIPTION 17 JOURNAL_DOCUMENT_NUMBER 32 JOURNAL_ENTERED_AMOUNT 31 JOURNAL_ENTERED_CR 30 JOURNAL_ENTERED_DR 66 JOURNAL_LAST_UPDATED_BY 67 JOURNAL_LAST_UPDATE_DATE 15 JOURNAL_NAME 4 22 JOURNAL_STATUS 27 JOURNAL_TYPE 1 LEDGER 2 LEDGER_CATEGORY 3 LEDGER_CURRENCY 69 PERIOD_END 4 PERIOD_NAME 68 PERIOD_START 70 PERIOD_YEAR_NUM -1 6 POSTED_DATE 39 REVERSAL_EFFECTIVE_DATE 43 REVERSAL_JOURNAL_NAME 41 REVERSAL_METHOD 40 REVERSAL_PERIOD 42 REVERSAL_STATUS 20 SOURCE_NAME 26 TAX_STATUS_CODE Show Attachment Details Y S Site Pivot by source and category (AP, AR, FA) ENGINATICS 19 ACCOUNTED_AMOUNT 13 APPROVAL_STATUS 14 BATCH_APPROVER 12 BATCH_FUNDS_STATUS 8 BATCH_NAME 11 BATCH_POSTED_BY 10 BATCH_POSTED_DATE 9 BATCH_STATUS 6 CATEGORY_NAME 17 ENTERED_AMOUNT 16 JOURNAL_ACCOUNTED_AMOUNT 18 JOURNAL_ACCOUNTED_DR 15 JOURNAL_ENTERED_AMOUNT 1 LEDGER 2 LEDGER_CATEGORY 3 LEDGER_CURRENCY 5 PERIOD_NAME 7 POSTED_DATE 4 SOURCE_NAME CATEGORY_NAME ROW 2 JOURNAL_ACCOUNTED_DR VALUE 1 SUM PERIOD_NAME COLUMN 1 SOURCE_NAME ROW 1 GL Journals - New Template 19 OCT 2023 19 31 33 19-Oct-2023 193436.xlsx US 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 xl/worksheets/sheet2.xml xl/worksheets/sheet4.xml 1 0 Row Labels 1 Sum of Journal Accounted Dr 2 (blank) 3 Projects 4 Assets 5 Spreadsheet 6 Consolidation 7 Payroll 8 Payables 9 Receivables 10 Cost Management 11 Grand Total 12 Period Name 13 Source Name 14 Category Name 15 Jan-08 16 Labor Cost 17 Revenue 18 Total Burdened Cost 19 Usage Cost 20 Adjustment 21 Credit Memos 22 Receipts 23 Sales Invoices Journal Source <multiple_values>Assets;Payables;Receivables Period Jan-08 data A1 1 data B1 1 data C1 1 data D1 1 data E1 1 data F1 1 data G 3 data G1 1 data H1 1 data I1 1 data J 3 data J1 1 data K1 1 data L1 1 data M1 1 data N1 1 data O 4 data O1 1 data P 4 data P1 1 data Q 4 data Q1 1 data R 4 data R1 1 data S 4 data S1 1 parameter A1 1 parameter A10 1 parameter A11 1 parameter A12 1 parameter A13 1 parameter A14 1 parameter A2 1 parameter A3 1 parameter A4 1 parameter A5 1 parameter A6 1 parameter A7 1 parameter A8 1 parameter B1 5 parameter B10 5 parameter B11 5 parameter B12 5 parameter B13 5 parameter B14 5 parameter B2 5 parameter B3 3 parameter B4 5 parameter B5 5 parameter B6 5 parameter B7 5 parameter B8 5 S Site DEVELOPER GL Journal Drilldown ENGINATICS GL Journal Drilldown (Attachment) MRUGESH.POOJARY_OLD GL Journal Drilldown Journal Line Detail PM TEST